Acoustic transducer structures

Information

  • Patent Grant
  • 11715453
  • Patent Number
    11,715,453
  • Date Filed
    Monday, December 28, 2020
    3 years ago
  • Date Issued
    Tuesday, August 1, 2023
    a year ago
Abstract
Defining critical spacing is necessary for steering of parametric audio. Comparing steering measurements both with and without a waveguide leads to a conclusion that the diffuse phyllotactic grating lobe contributes audio and is to blame for poor steering. In addition, the waveguide needs to function with correct phase offsets to achieve the steering required for performance. Arranging tubes so that the array configuration changes from rectilinear to another distribution is useful when the waveguide is short of critical spacing or constrained for space. Array designs may also capitalize on rectilinear transducer design while having the benefits of a transducer tiling that has irrational spacing to promote the spread of grating lobe energy.
Description
FIELD OF THE DISCLOSURE

The present disclosure relates generally to improved techniques in acoustic transducer structures used in mid-air haptic systems.


BACKGROUND

As discussed herein, the term “phased array” refers to a group of transmitters which project into the same space and can be individually addressed. By selecting specific signals or, in the case of a monochromatic array, phases and amplitudes, the group of transmitters can shape the emitted field. In the case of an ultrasound phased array in air, the sound field can be focused, made to diverge, shaped into beams, and generally rearranged into many other forms. Uses for shaped and steered ultrasonic fields include mid-air haptics, directional audio, and the imaging of physical materials and scenes.


Steering via a phased array can encounter grating lobes when element spacing is above critical spacing. This results in sound energy being projected in unintended directions. To bring the array closer to critical spacing an acoustic waveguide structure can be used. Jager et al. (2017 IEEE) demonstrated beam steering using a waveguide structure. While Jager shows a reduction in grating lobes, it does not realize or demonstrate consequences with respect to haptics or parametric audio.


Further, described herein are array designs that are intended to capitalize on rectilinear transducer design, yet have the benefits of a transducer tiling that has irrational spacing to promote the spread of grating lobe energy.


Arranging the transducers of an emitting phased array system generates unwanted extra features depending on such parameters as wavelength, element size, separation distance between elements and geometric uniformity of spacing.


As the wavelength is decreased, the element size and separation distance when measured in wavelengths increases. Above a certain size, grating lobes appear and distort the output, which at the extremes creates extra output focus points that are unwanted.


For commercial reasons it may be necessary to set the frequency independently of the size and spacing of the elements, wherein with a structure with geometric uniformity of spacing, when actuated to produce a focus unwanted extra output focus points appear. In this case, the only modifiable parameter is the uniformity of the geometry. However, commercially, it is beneficial to create transducers that do not waste material, have high packing density and minimize the number and complexity of steps required for manufacture.


SUMMARY

One key innovation disclosed herein is recognizing that approaching critical spacing is necessary for steering of parametric audio. When looking at ultrasound simulation or measurement data, it is not apparent that the diffuse phyllotactic grating lobe contributes as much audio as it does. Nor does measurement of the audio alone lead to the conclusion that grating lobes are to blame for the poor steering. It takes comparing steering measurements both with and without a waveguide to come to that conclusion. In addition, the waveguide needs to be functioning with correct phase offsets to achieve the steering required for performance.


In addition, Jager et al. only demonstrates operation using equal-length tubes and does not discuss other possibilities. In this disclosure, different-length tubes are equally functional and allow for a much wider variety of shapes. Also, arranging tubes so that the array configuration changes from rectilinear to another distribution is a non-obvious use and has benefits when the waveguide is short of critical spacing or constrained for space.


Further, this disclosure describes array designs intended to capitalize on rectilinear transducer design while having the benefits of a transducer tiling that has irrational spacing to promote the spread of grating lobe energy.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying figures, where like reference numerals refer to identical or functionally similar elements throughout the separate views, together with the detailed description below, are incorporated in and form part of the specification, serve to further illustrate embodiments of concepts that include the claimed invention and explain various principles and advantages of those embodiments.



FIGS. 1A, 1B, and 1C show an arrangement of a waveguide.



FIG. 2 shows a grating lobe suppression simulation.



FIG. 3 shows a grating lobe suppression simulation.



FIG. 4 shows laser doppler vibrometer scan images.



FIG. 5 shows an arrangement of transducers as a phyllotactic spiral.



FIG. 6 shows the effect of FIG. 5 in simulation.



FIGS. 7A and 7B illustrate an ultrasonic acoustic simulation of a rectilinear array.



FIGS. 8A and 8B illustrate an ultrasonic acoustic simulation using an array in a phyllotactic spiral arrangement.



FIG. 9 shows the audio steering performance of a tone production of an array arranged in a phyllotactic spiral.



FIG. 10 shows the audio steering performance of a tone production of an array arranged in a phyllotactic spiral.



FIG. 11 shows steering of a parametric audio beam using a rectilinear array.



FIG. 12 shows steering of a parametric audio beam using a rectilinear array.



FIG. 13 shows steering of a parametric audio beam using a rectilinear array.



FIG. 14 shows a frequency response of parametric audio from a transducer array.



FIG. 15 shows a Voronoi diagram of a point set in a phyllotactic spiral.



FIG. 16 shows a plot having circular transducers arranged in a phyllotactic spiral.



FIG. 17 shows a plot having square transducers arranged in a phyllotactic spiral.



FIG. 18 shows a rectilinearly aligned arrangement of transducers.



FIG. 19 shows a Bragg diffraction of a square lattice of transducer elements.



FIG. 20 shows binary tiling of transducers.



FIGS. 21A and 21B show Bragg diffractions of binary tiling.



FIGS. 22A and 22B show pinwheel tiling and its Bragg diffraction.



FIG. 23 shows a right-angled triangle motif present in the pinwheel fractal construction.



FIG. 24 shows rectangular arrays designs for left- and right-handed ‘domino’ arrays having 1:2 aspect ratio.



FIG. 25 shows designs for four variants of the ‘square’ arrays.



FIG. 26 shows a simulation of eigenmodes using the Helmholtz equation.



FIG. 27 shows a simulation of maximum z-deflection for a bending mode of piezoelectric actuator.



FIG. 28 shows a simulation of maximum z-deflection for a bending mode of piezoelectric actuator.



FIG. 29 shows a simulation that details the basic steps for arranging a square unit cell into a new arrangement.



FIG. 30 shows a simulation that illustrates how FIG. 29 may be recursively extended to build larger arrays of elements.



FIG. 31 shows a simulation that illustrates variation possibilities provided by rotation or mirroring or both.



FIGS. 32A, 32B, 32C, and 32D show an example element array of square transducers constructed using rotation.



FIGS. 33A, 33B, 33C, and 33D show an example element array of square transducers constructed using mirroring.



FIGS. 34A, 34B, 34C, and 34D show an example element array of square transducers constructed using rotation and mirroring.



FIG. 35 shows is a graph showing the simulated recursive offset arrays using square transducers.





Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.


The apparatus and method components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.


DETAILED DESCRIPTION
I. Steering of an Ultrasonic Phased Array Using an Acoustic Waveguide Structure

A. Introduction


A limitation encountered when working with an ultrasonic phased array is the phenomena of grating lobes. This is the effect wherein certain arrangements of transducers produce leakage of energy in unintended directions taking the form of an erroneous lobe of output. To illustrate this effect, consider a linear array of transducers with spacing a from center-to-center. When they are all producing ultrasound in phase, they produce a field similar to a line source, where a section taken perpendicularly to the array of transducers will reveal a circular diverging wave front, but in the plane of the transducers there will be a substantially linear wave front projecting directly away from the transducers. Now, consider another direction at angle 9 from the vertical in that plane. The distance along that direction before an emitted spherically diverging wave front from one transducer connects with another transducer is given by d=a sin θ. When this distance is equal to one wavelength then along that direction every wave is adding constructively. The result of this constructive interference at that angle is a grating lobe. The angle this occurs is given by







θ
=


sin

-
1




λ
a



,





where λ is me wavelength of the ultrasound. This illustrates that the grating lobe, in this instance, is dependent on the spacing a and how it compares to the wavelength λ. If, for instance, a is smaller than λ, a solution does not exist and therefore a grating lobe will not exist in this arrangement and emission scenario.


Grating lobes in phased arrays have been studied extensively and careful analysis shows that all grating lobes will be eliminated regardless of arrangement when the spacing of transducers is equal to or smaller than half of the wavelength (½λ) (Wooh & Shi, 1999). This is referred to as ‘critical spacing’. A linear or planar array with transducers spaced at critical spacing will be able to achieve desired fields without grating lobe artefacts. As demonstrated above, grating lobes for a beam produced at a right angle directly away from the array, vanish as the system approaches a wavelength (λ) spacing, or double that of critical spacing. If moving or steering the beam in any direction other than directly perpendicular however, in that arrangement, grating lobes will immediately appear when the system starts to steer. In between wavelength spacing (λ) and critical spacing (½λ) there exists a class of arrays which can steer to increasingly larger angles without grating lobes. This could be beneficial if large steering angles are not required as larger transducers tend to provide stronger acoustic fields. So, fewer would be required, simplifying the design of the system.


The geometry of ultrasonic transducers is dictated by many factors including the materials used, the actuating element, matching layers, resonant cavities, and many other aspects of the transducer element design. It can be difficult to design a transducing element which can achieve critical spacing. In addition, an oddly shaped elements may prevent arrangements which mitigate secondary focusing from grating lobes such as a phyllotactic spiral. The invention presented here is a series of tubes, or waveguide paths, which can be mounted directly atop a transducer or array of transducers which direct the acoustic output to a second aperture at the opposite end of the waveguide. From the perspective of the produced acoustic field, it is as if the transducer aperture has been substantially replaced by this second aperture in terms of the geometric arrangement of the phased array. In one such geometric arrangement, the waveguide can be used to adjust the spatial arrangement of transducers from, for example, rectilinear to a phyllotactic spiral. In another arrangement, the open aperture can be reduced so that critical spacing can be achieved.



FIGS. 1A, 1B, and 1C show an example arrangement 100 of this innovation in various views. Shown is a rectilinear array with tapering openings 120, 130 on the upper and lower sides with a cross section shown via A-A 140 in FIG. 1A. These openings 120130 are surrounded by members 110a, 110b, 110c, 110d as shown in FIGS. 1A, 1B, and 1C.


Specifically, this waveguide couples to a 16×16 rectilinear array 120 of 1 cm diameter circular transducers spaced at 1.03 cm which operate at 40 kHz. The waveguide forms straight-line tapering paths to circular openings with 5 mm spacing. At sea level and standard conditions, the wavelength of 40 kHz is 8.6 mm. The waveguide therefore transforms the apparent geometry of the array from 1.2λ spacing to 0.58λ spacing, much closer to the 0.5λ critical spacing. In other words, this shows an example waveguide that transforms a 16×16 rectilinear array of 10 mm 40 kHz transducers to near critical (5 mm) spacing.



FIG. 2 and FIG. 3 show the effectiveness of this new, tighter spacing. FIG. 2 shows a graph 200 of grating lobe suppression that is focused at [x, y, z]=[40 mm, 0, 150 mm]. The x-axis 210 is location in mm. The y-axis 220 is in db. A normal plot 230 is compared to a waveguide plot 240.


In FIG. 2, a focus point is projected at [x, y, z]=[40 mm, 0, 150 mm] and a microphone is swept across the x-dimension at z=150 mm. A clear focus point is observed at x=40 mm in both the regular and waveguide arrangement. However, for the widely spaced regular arrangement, a secondary focus caused by the grating lobe is readily apparent at x32−110 mm. The tighter spacing enabled by the waveguide prevents the creation of a secondary focus.



FIG. 3 shows another example of grating lobe suppression via graph 300 of a similar experimental measurement with the focus projected at x=80 mm. The x-axis 310 is location in mm. The y-axis 320 is in db. A normal plot 330 is compared to a waveguide plot 340.



FIG. 3 illustrates the necessity to approach critical spacing when steering to larger angles—in this case the secondary focus is nearly the same magnitude as the intended focus. Once again, the tight spacing enabled by the waveguide eliminates the grating lobe.


A further experimental verification is shown in FIG. 4, which is a series 400 of a scanning laser doppler vibrometer scan images 410430 of the acoustic field. This method directly images the acoustic field without potentially disturbing the field with a solid microphone. As with the microphone data, no grating lobe is observed without steering 420 and even when steered to a 45° angle 440


B. Waveguides for Focused Ultrasound


Mid-air haptics uses specialized high-pressure acoustic fields, typically modulated foci, to produce a vibrotactile sensation on the human body. Grating lobes can cause secondary fields which are also modulated, thereby creating haptics in unintended places.


One method to prevent grating lobes from forming secondary foci is to arrange the emitting array into a pseudo-random arrangement. FIG. 5 shows one such arrangement 500 of 7 mm transducers 530 as a phyllotactic spiral. The x-axis 510 and the y-axis 520 are in meters. The inset square 540 illustrates the extent of an array of the same transducers packed into a rectilinear arrangement. This arrangement contains no regular spatial frequencies and therefore prevents grating lobes from forming secondary foci.



FIG. 6 shows the effect of FIG. 5 in simulation 600. The x-axis 610 and y-axis 620 are in mm. The grayscale is in pressure (arbitrary) units. Here, the field in the x-y plane 640 parallel to the array at z=20 cm is simulated when a focus 630 is placed at x=10 cm and z=20 cm. The grating lobe focus in a rectilinear array of similar density would appear at approximately x=5 cm. The phyllotactic arrangement distributes this secondary focus to a large arc in the negative x domain. Without a tight focus, the grating lobe will not produce a haptic sensation.


One distinct downside of the phyllotactic arrangement is the large spacing required. The inset square 540 in FIG. 5 shows the extent of an array if the same transducers were packed rectilinearly. The increased size of the phyllotactic spiral arrangement might prevent the use of such an array in integrations which are tight on space, as well as likely increase the cost of manufacture.


Using a waveguide structure, it is possible to use connect a rectilinear transducer array to a phyllotactic spiral-arranged or similarly pseudo-random exit pattern which distributes grating lobe energy. In one arrangement, design consists of a straight-line tube from each transducer to the closest exit aperture. Depending on the size and shape of the exit arrangement, this may require iterative design to prevent crossing of tubes. This will also likely create different length tubes requiring measured or simulated phase offsets to be included in steering calculations (discussed below).


A pseudo-random arrangement is not required, however, when the exit apertures are near critical spacing. For haptics, however, this can lead to some drawbacks. For instance, with a reduced exit aperture, the effective depth of focus will increase at similar distances. Without a tight focus, peak pressure will be lower and potentially provide a reduced haptic effect. At the same time, with increased steering ability provided by the critical spacing, focus shape will be maintained through large steering angles close to the array. Depending on the application, a waveguide can be designed which optimizes the interplay between reduced grating lobes, depth of focus, and exit aperture size.


C. Waveguides for Parametric Audio


Parametric audio is an effect whereby audible sound is produced by nonlinear distortion in the air when ultrasound at varying frequencies is present. By controlling the short-wavelength field of ultrasound, the resulting audio can be controlled to a degree not possible using conventional loudspeakers.


The most common use of the parametric audio effect is to produce beams of audio which follow beams of ultrasound. Within the beam, audio is being produced in every volume element in proportion to the magnitude and relative frequencies present. After the audible sound is produced, it spreads out more due to its larger wavelength relative to the ultrasound. The largest magnitude of audible sound, however, will exist within the ultrasound beam, so only in a direction that will be reinforced through further parametric audio generation.



FIGS. 7A and 7B illustrate an ultrasonic acoustic simulation 700 of a rectilinear array at 1.2λ spacing producing a beam at 30° steering angle. A grating lobe beam is clearly visible, directed away from the steering direction. In FIG. 7A, the simulation 730 shows two audio beams, each directed along its own ultrasonic beam. The net result will be two diverging audio beams which will limit the perceived directionality of the system and its ability to target specific users. In FIG. 7B, the simulation 730 shows a grating lobe 770 that appears in the negative-y steering angle.



FIGS. 8A and 8B illustrate an ultrasonic acoustic simulation 800 using an array in a phyllotactic spiral arrangement with packing density comparable to a 1.2λ rectilinear array. Simulation of a phyllotactic-spiral arranged ultrasonic array above critical spacing projecting a beam in the positive-y direction at 30 degrees. In FIG. 8A, the simulation 830 shows the pseudo-random arrangement of transducers distributes the energy found in the grating lobe into a large arc. At first glance, it is not obvious that this diffuse, low-intensity, arc of ultrasound would be able to generate any significant parametric audio. In FIG. 8B, the simulation 860 shows a grating lobe 870 is distributed and directed towards in the negative-y direction but is much more diffuse when compared to the rectilinear arrangement.



FIG. 9 and FIG. 10 show the audio steering performance of 1 kHz tone production of a 61 kHz array arranged in a phyllotactic spiral with packing density of about 1.2λ at 10° and 30° respectively. The graph 900 in FIG. 9 has a plot 930 where the x-axis 910 is angle (degrees) and the y-axis 920 is SPL (db). The graph 1000 in FIG. 10 has a plot 1030 where the x-axis 1010 is angle (degrees) and the y-axis 1020 is SPL (db).


This measurement shows the audio sound level measured at a given angle with respect to the normal of the array in a large room. Even with a relatively small 10° steering angle (FIG. 9) the measured audio emitted is not symmetric about the array, which one would expect if the grating beam were not present. When steered to a more extreme angle such as 30° (FIG. 10), the polar profile shows sound is coming out at unintended angles, at around about −20°, and at a greater amplitude than even the intended +30° steering. This roughly corresponds to the angle of the grating beam/arc simulated in FIG. 8. This unexpected result is created because while the grating beam has a lower peak pressure spatially, its size and spatial extent make up for this lack of intensity. As discussed above, when parametric audio is generated, due to its larger wavelength, it diffracts and spreads out more readily than the ultrasound. Therefore, at any given cross-section, and entire arc of low-intensity sources in the grating beam are contributing to parametric audio in that general direction. As a result, phyllotactic spiral-arranged arrays not only do not help, but actively hurt parametric audio steering performance from ultrasonic phased arrays due to their lower packing density compared to rectilinear or hexagonal-packed arrays.


Fortunately, arrays approaching critical spacing do help with steering parametric audio due to their complete lack of grating lobe energy.



FIG. 11 shows a graph 1100 with an x-axis 1110 of angle (degrees) and a y-axis 1120 in dB having a normal plot 1130 and a waveguide plot 1140. Specifically, FIG. 11 shows steering of a parametric audio beam to +10 degrees using a rectilinear array at 1.2 lambda (normal) and the 0.58 lambda waveguide illustrated in FIG. 1.



FIG. 12 shows a graph 1200 with an x-axis 1210 of angle (degrees) and a y-axis 1220 in dB having a normal plot 1230 and a waveguide plot 1240. Specifically, FIG. 12 shows steering of a parametric audio beam to +20 degrees using a rectilinear array at 1.2 lambda (normal) and the 0.58 lambda waveguide illustrated in FIG. 1.



FIG. 13 shows a graph 1300 with an x-axis 1310 of angle (degrees) and a y-axis 1320 in dB having a normal plot 1330 and a waveguide plot 1340. Specifically, FIG. 13 shows steering of a parametric audio beam to +40 degrees using a rectilinear array at 1.2 lambda (normal) and the 0.58 lambda waveguide illustrated in FIG. 1.



FIG. 13 shows a graph 1400 with an x-axis 1410 of frequency (Hz) and a y-axis 1420 in SPL (dB) having a normal plot 1430 and a waveguide plot 1440. Specifically, FIG. 14 shows frequency response of parametric audio from a 16×16 40 kHz transducer array with and without a waveguide.


Thus FIG. 11, FIG. 12, and FIG. 13 show the parametric audio steering performance of the waveguide shown in FIG. 1 compared to a bare 1.2λ-spaced 40 kHz array. As is readily observed, the near-critically-spaced exit apertures of the waveguide eliminate the grating lobe beam and its resulting audio. This shows that the invention presented here enables aggressive steering of parametric audio to arbitrary angles from any size transducer by enabling critical spacing. In addition, the frequency response is virtually unaffected as shown in FIG. 14.


D. Waveguide Design and Operation


Enabling proper operation of a phased array with a waveguide requires adjusting the output to compensate for the waveguide itself. In other words, just like the phase of each and amplitude for each transducer must be coordinated and driven precisely, any relative change caused by a waveguide path must also be compensated for. For instance, if one waveguide path causes a phase offset of π/4 while another in for the same array causes a π/2 shift, then this offset must be subtracted from the desired phase of each transducer respectively when calculating activation coefficients for a given field. If both amplitude and phase for each transducer are considered as a complex number, and the attenuation and phase delay of the waveguide tube a further complex number, then the application of the correction factor for the waveguide may be realized as the division of the first by the second. Without this compensation, the field will be malformed and distorted by the waveguide. In addition, if activation coefficients are produced using a model which accounts for time-of-flight, any time-delay caused by the waveguide must be compensated for as coefficients are calculated.


Phase offsets and time-delays can be derived using empirical or simulated methods. The simplest approach, albeit time-consuming, is to measure the phase offsets and time-delays associated with each waveguide path directly. In one arrangement, phase can be measured with continuous, monochromatic drive with reference to a control signal, while time delay can be measured with an impulse, chirp or comparison to a control path. Another approach is to calculate the phase and time delay with simulation. This could be done with something as sophisticated as a finite element model (FEA) or an analytic model of a pipe or appropriate structure. In the data presented in previous sections, the phase offsets were calculated using the length of each waveguide path, where this was divided through by the wavelength of the ultrasonic excitation in free air resulting in a remainder that describes the appropriate phase offset. This was then refined by measuring the strength and location of a focus generated directly above the array at 15 cm and compared to a model. Increasing the effective length of each tube by 8% resulted in a good fit to simulation. As stated above, without this compensation, the waveguide structure will not produce the expected field.


Most of the discussion here has been about waveguides for transmit, but they also work for receive. A receiver placed at one end of a waveguide will only receive and produce a signal when ultrasound is directed at the aperture at the opposing end of the waveguide. A receive system at critical spacing will be free from aliased ghost images created by grating lobe artefacts. In addition, shaping the open aperture of the waveguide into a horn or similar structure could provide increased sensitivity compared to the receive element in open air.


The waveguide shown in FIG. 1 represents only one arrangement possible from this invention. The waveguide paths, in this case decreasing radius straight-line tubes, need not be straight, decreasing radius, circular in cross-section, or even void of material. As long as the ultrasonic acoustic wave can propagate down the waveguide path and its phase offset and time delay can be well characterized and consistent, then it can be used to manipulate the array. For instance, a waveguide which transforms a rectilinear array into a phyllotactic pseudo-random arrangement will certainly not involve straight-line tubes and will likely incorporate non-circular cross-sections. In another arrangement, a waveguide could be used to bend the acoustic field around a corner with each waveguide path bending around to have an exit aperture at 90 degrees relative to the original waveguide. In another arrangement, the cross-section of the waveguide path can narrow before flaring out again near the exit aperture. This narrowing can provide increased acoustic impedance to the transducer, improving its acoustic output, as well as providing a horn-like exit aperture to increase the coupling to open air. In another arrangement, a variety of transducers could be utilized within the same array, say mixed frequency or emitting power, and a waveguide can bring them all into a unified emitting region.


The waveguide can be composed of a variety of materials. This includes metals, plastic, and even flexible polymers. The acoustic impedance of the construction material needs to be sufficiently higher than that of air to prevent ultrasound from passing from one waveguide path to another (cross talk within the array). This is not difficult as most solids are at least two orders of magnitude higher acoustic impedance compared to air. This enables the possibility of using flexible materials such as plastic tubing as a portion of the waveguide. For instance, an exit aperture array, composed of metal or hard plastic could be coupled to an input array of transducers with plastic or polymer tubing. Then each could be mounted independently, allowing the flexible tubes to bridge the connection. The polymer tubes could remain flexible during their operating life or be cured in some way (UV for instance) after installation. Given that the length and shape will be fixed during assembly, the phase offset and time delay should remain mostly unchanged regardless of the exact details of placement, within reason. Extreme angles or pinched/obstructed tubes will obviously cause distortions. If more accuracy is required, measurement or simulation could provide the 2nd-order corrections necessary.


In addition to plastic or polymers, metal can be used for a portion or all of the waveguide. Metal has the benefit of acting as a heat-sink as the waveguide can readily trap air, causing excessive heat storage.


The waveguide cross-section need not be a decreasing-radius curve or act as a simple tube. It is possible to design a relatively sudden decrease in radius along a waveguide path to produce a Helmholtz resonator-like design. Using this methodology, the larger-volume chambers could provide a boost to the output efficiency of the transducers while the exit apertures could be packed together to approach critical spacing.


The volume within the waveguide paths need not be completely empty. Filling material such as Aerogel could be packed into the waveguide to provide a different acoustic impedance if so desired. Besides acoustic impedance matching, different materials could provide environmental proofing like water resistance.


Manufacturing the waveguides can be done with a variety of techniques. The array design shown in FIG. 1—and proven experimentally—was produced with an additive manufacturing technique (FDM 3D printing). Other possible options include injection molding, where each waveguide path is formed by a removable pin. Symmetry can be exploited for waveguide production as well. For instance, the waveguide shown in FIG. 1 has 4-fold symmetry and 4 identical pieces could be connected together to form the final product. Another manufacturing arrangement involves connecting many straight polymer tubes of appropriate lengths into a form then heating them near their glass transition temperature. Then a form can be applied externally to push the collection of tubes into their final waveguide form. This external force can be similar to a vacuum bag or even water pressure in the case of metal tubing. It is also possible to produce one waveguide tube at a time and then glue/fuse them into the final result.


The disclosure presented here allows for the transformation of ultrasonic phased arrays to transform from one arrangement to another without significant loss of output or field-synthesis ability. This enables critically spaced or pseudo-random arrangements from arbitrary-sized transducing elements.


The goal of this disclosure is to produce an estimate of the acoustic pressure from an ultrasound phased array which reasonably matches the measurement of a stationary or slow-moving microphone at a similar location.


There are methods that detail ways to calculate instantaneous pressure or intensity or other metrics in the field. Here a series of algorithms efficiently use computational resources to calculate time-averaged metrics. These are useful for determining and regulating hot spots and higher-than desired pressure.


Estimating the field strength from an ultrasonic phased array can be done by summing the contribution of each transducer to the point of interest. This contribution is already calculated when creating a converging spherical wave. We can reuse this calculation to add a virtual microphone to the system. By monitoring this microphone and moving it along with new focus points, a robust system of field estimates and regulation can be established.


E. Additional Disclosure


1. An ultrasonic array consisting of:


A) A plurality of ultrasonic transducers;


B) An operating acoustic wavelength;


C) A plurality of acoustic cavities;


D) Wherein each cavity has a input opening and an exit opening;


E) Wherein each input opening accepts ultrasound from a single transducer;


F) Wherein at least 2 of the geometric centers of the cavity exit openings are situated less than one wavelength from one another;


G) Wherein the ultrasound emerging from the exit opening has a phase offset relative to when it entered the input opening; and


H) Wherein at least 2 cavities have different phase offsets.


2. The apparatus as in ¶1, wherein the phase offset for at least one cavity is inverted and applied to the phase of at least one transducer drive before emission.


3. The apparatus as in ¶2, wherein the ultrasound is modulated to produce audible sound.


4. The apparatus as in ¶2, wherein the ultrasound is modulated to produce a mid-air haptic effect.


5. The apparatus as in ¶2, wherein the ultrasound is used to levitate an object.


6. The apparatus as in ¶2, wherein the ultrasound emerging from the exit opening has a different amplitude relative to when it entered the input opening.


7. The apparatus as in ¶6, wherein the amplitude offset is used to modify the amplitudes of at least one transducer before emission.


8. The apparatus as in ¶3, wherein the exit openings are substantially co-planar.


9. The apparatus as in ¶8, wherein the audio is directed at an angle greater than 15 degrees from the normal to the plane.


10. The apparatus as in ¶8, wherein the audio is directed at an angle greater than 30 degrees from the normal to the plane.


11. The apparatus as in ¶8, wherein the audio is directed at an angle greater than 45 degrees from the normal to the plane.


12. The apparatus as in ¶8, wherein the audio is directed at an angle greater than 60 degrees from the normal to the plane.


13. The apparatus as in ¶6, wherein the amplitude offset is within 2 dB.


14. The apparatus as in ¶1, wherein the cavities consist of straight cylinders with a decreasing radius from input to exit opening.


15. The apparatus as in ¶14, wherein the wavelength is less than 9 mm.


16. The apparatus as in ¶14, wherein the pitch of the exit cavities is less than 6 mm.


17. The apparatus as in ¶2, wherein the phase offsets are stored in memory on the apparatus.


18. The apparatus as in ¶6, wherein the amplitude offsets are stored in memory on the apparatus.


II. Transducer Sub-Tiles of Different Chirality

Previous disclosures have described the phyllotactic spiral as an example of a non-uniform structure that splits the grating lobe structures into many pieces. However, for ease of manufacture it is difficult to use, as can be seen when looking at the Voronoi diagram of the point set 1500, as shown in FIG. 15.


As can be seen form this Voronoi diagram of a point set in a phyllotactic spiral, the ‘seed shape’ moves between a diamond-like shape and a hexagon-like shape in bands that appear to roughly follow the Fibonacci sequence in thickness. As there is no one single shape in the limit, it is clear that there is no one optimal transducer shape for a design based on this approach.


While the continuously changing shape of the Voronoi cells results in a reasonable design for an array of transducing elements which are non-resonant with a broadband response as the function of output will then vary little with this small change in shape, when narrowband resonant structures are considered, this would require careful tuning of each structure which is currently commercially infeasible. Resonant devices cover a large proportion of existing technologies, including devices based on the piezoelectric effect; passing electricity through crystal structures to create mechanical bending.


Shown in FIG. 16 is a plot 1600 showing circular transducers 1640 arranged in a phyllotactic spiral are relatively densely packed in the center square 1630, but circular transducers may be more expensive to manufacture. The x-axis 1610 is in meters; the y-axis 1620 is in meters. Previous disclosures have also shown how circular transducers may be arranged in a phyllotactic spiral as in FIG. 16, but to reduce cost transducers are more likely to have rectilinear elements in their design or layout.


Square transducers are more difficult to position as a simple arrangement that does not require rotation yields the arrangement shown in FIG. 17.


Shown in FIG. 17 is a plot 1700 showing square transducers 1740 arranged in a phyllotactic spiral that are relatively densely packed in the center square 1730. The x-axis 1710 is in meters; the y-axis 1720 is in meters. The result of a rectilinear positioning of square transducers in the configuration of a phyllotactic spiral. The uniform packing without gaps is overlaid as the larger square 1730.


Using singulated unit transducers in a phyllotactic arrangement, only allowing rectilinear alignment of the set of square transducers, results in a configuration that is over twice the area of the equivalent uniform square packing that has no wasted space. This is a problem, because the power output of the array is reduced by this factor per unit area. The greater the packing density, the less energy per unit area is lost to the unoccupied regions.


This can be improved if the singulated units are allowed to rotate, breaking the rectilinearly aligned arrangement, as shown in FIG. 18. Here, the simulation 1800 shows results of positioning transducers with corners pointing towards the center of the spiral within square 1810. To increase the density further, the phyllotactic pattern has been built inwards and in cases where the square elements overlap, the angular position has been incremented until the overlap is resolved. The power has also been modified slightly downwards to an exponent of 0.4392 rather than the 0.5 that is more traditional to describe distance from the center. However, even in this configuration, there is around 40% extra area used over the densely packed alternative, leading to a drop in output at a focus from an area limited array of around 3 dB. As this is unwanted, finding an entirely dense packing of transducers is preferred. This would be beneficial from a manufacturing perspective as it could be designed to be produced as a sheet or roll. However, it is difficult to find a dense packing that also fulfils the requirement of a non-uniform arrangement.


A dense packing of transducers mounted on a surface is equivalent to a tiling of the plane. As the grating effects that need to be reduced or removed are effectively the result of wave phenomena interacting with the ‘lattice’ of transducer emission locations, so the effect can be determined ahead of time by taking the Fourier transform of the arrangement, yielding an equivalent to a modelled Bragg diffraction pattern. Then, to find a pattern that is effective, a ‘lattice’ of transducer emission locations must be found that has a weak and disperse Bragg diffraction pattern.


The Bragg diffraction of the rectilinear system yields the corresponding grating lobe configuration with the central focus surrounded by extra false images separated again by the rectilinear grid, as shown in FIG. 19. FIG. 19 shows a Bragg diffraction 1900 of a square lattice of transducer elements, showing the grating lobe configuration produced by this geometric layout.


As many interesting planar aperiodic tilings of the plane have been studied due to their properties as molecular models of crystalline systems and especially as models of quasi-crystals and mixtures of metals, there is literature that describes the Bragg diffractions of tilings as analogues of problems in X-ray crystallography. Due to this, considering the paper, Senechal, M. “Tilings, Diffraction and Quasi-crystals”, the most interesting two tiling systems studied alongside their Bragg diffractions are the binary and pinwheel systems for tiling the plane.


The first system considered is that of the ‘binary’ tiling, where transducing elements may take the two shapes of the fat and thin rhombus present in the tiling, as shown in FIG. 20. FIG. 20 shows “binary” tiling 2000. An aperiodic tiling with pentagonal symmetries, related to the Penrose rhombus tilings. Used originally to model chemical mixtures, it is made of two different types of rhombus’.


Shown in FIGS. 21A and 21B are Bragg diffraction of the “binary” tiling. FIG. 21A shows binary tiling and choice of elements 2100 for a potential transducer array. FIG. 21B shows five-fold pentagonal symmetry in the diffraction 2150 that appears here to be more decagonal symmetry. When considering the Bragg diffraction of the system shown in FIG. 21, it is mostly well spread out. However, manufacturing two different fat and thin rhombus transducer designs, in terms of their different acoustic properties, as well as tuning their frequency responses may prove time consuming and could involve different processes, e.g., thicknesses of bending structure. Furthermore, there is no pattern that can be easily tiled to construct larger sets of elements.


Shown in FIGS. 22A and 22B are pinwheel tiling and its Bragg diffraction. FIG. 22A shows pinwheel tiling 2200 and the element chosen as representative transducer tiles. FIG. 22B shows the Bragg diffraction 2250 of this configuration. This second system is the pinwheel tiling, where each transducing element is comprised of a right-angle triangle with sides measuring 1, 2 and √5 in ratio as shown in FIG. 22. As can be seen from the Bragg diffraction, the frequency distribution of elements of the pinwheel tiling is substantially disordered in the frequency domain. Of the two finalist tilings described earlier, this is more attractive for manufacture. This is firstly because there is only one species of shape to be produced in this design, but also secondly because the right-angled triangle can be realized as a rectangle with aspect ratio 1:2 cut diagonally, which can allow for manufacture in aspect ratio 1:2 rectangles and cut, allowing for processes for rectilinear elements to be used for the most part.


The pinwheel tiling is also a fractal in that there is a set of five right angle triangles with sides measuring ratios of 1, 2 and √5 which fit perfectly in the area of a single triangle of the same shape but with five times the area of one of these fitted triangles.


Shown in FIG. 23 are triangles 2300 that may also be set again inside of those, any integer power of five may be constructed into a right-angle triangle in this way (5, 25, 125, etc.), to produce a larger array in the shape of the right-angled triangle motif present in the pinwheel fractal construction. These are designs for left- and right-handed triangular arrays. The top-most 2310 and mid-bottom 2330 rows show possible piezoelectric material positioning while the mid-top 2320 and bottom-most 2340 rows show potential top plate structures.


Also shown are the left and right chiral constructions of the fractal pinwheel tiling, and also shown is the format that allows for complete structures to be potentially fabricated from a single sheet or attached together at the points shown. Further shown are lightly shaded locations to which a vibrating plate may be attached to generate a wave or may alternatively topologically illustrate a potential method to choose vent locations. If they are manufactured singly, then these right-angle triangle fractal tiles have the drawback that they do not use an equal number of left and right-handed right angle single elements, which may cause logistical difficulties if not considered.


The larger fractal tiles which by nature also have sides measuring ratios of 1, 2 and √5 may be reconstructed into rectangular arrays with 1:2 aspect ratio as shown in FIG. 24. FIG. 24 shows designs 2400 for left- and right-handed ‘domino’ arrays. The name ‘domino’ is appropriate because the configuration is involved in a related tiling pattern colloquially named ‘kite & domino’ (and kite shaped arrays may instead be created by flipping the direction of one of the two right angle triangle array elements along their shared hypotenuse, to produce arrays with the same number of elements). The top-most 2410 and mid-bottom 2430 rows show possible piezoelectric material positioning while the mid-top 2420 and bottom-most 2440 rows show potential top plate structures.


These arrays may contain an integer power of five multiplied by two elements (10, 50, 250 etc.) as shown and because they are purely asymmetric must require an equal number of left and right-handed triangles. This is preferable in the case of single element manufacture, as there are then fewer special cases to consider during processing.



FIG. 25 shows designs 2500 for all four variants of the ‘square’ arrays. Notice that the achiral antisymmetric designs require very different numbers of left- and right-handed elements which are highlighted via the difference in shading between single elements.


From these rectangular sub-tiles of different chirality 25102520253025402550256025702580 shown in FIG. 25, there may be four different square array configurations symmetric and asymmetric variants of a left- and right-handed configuration. However, there is a trade-off in that the asymmetric variant uses a different number of individual elemental left and right chirality transducers, but only left sub-tiles, but the symmetric variants uses left and right sub-tiles, but an equal number of left and right elements. These effects may be traded off to achieve an optimized manufacturing procedure depending on the relative cost of each step in the required processing. These square arrays result in an element count that is four multiplied by an integer power of five elements (20, 100, 500, etc.). The result of this is that either left and right sub-tiles must be manufactured, or the amount of piezoelectric crystal pieces consumed with different chirality is different, although with a native pinwheel tiling piezoelectric crystal cutting approach this would not be a problem.


These aforementioned array tiling designs should not preclude any partial tessellations as produced by taking a subsection of the pinwheel tiling to use for its superior diffraction characteristics.


The one remaining barrier to this design is that if the edges of the transducing element are clamped and there is a boundary condition, the structure bonded to the piezoelectric crystal may not flex with sufficient displacement to produce efficient output.


By simulating the eigenmodes using the Helmholtz equation as shown in FIG. 26 we can consider the displacement generated by a unit impulse. Simulating the displacement of a piezoelectric plate makes it clear that it is viable to create a piezoelectric transducer that fits the desired shape, as shown in FIG. 27. Cutting a slot makes the displacement increase, but decreases the resonant frequency as shown in FIG. 28.


Specifically, FIG. 26 shows eigenmodes 2800 of the solutions to the Helmholtz equation on the triangle 2810a 2810b 2810c 2180d 2180e 2180f 2180g 2180h 2180i which yield the harmonic modes of vibration. For each mode, the shape of the Helmholtz solution may be extrapolated to describe the acoustic far field actuated by the mode. This may also be used in reverse, as a pattern of directivity of a receiving element at a similar frequency. As it can be seen that each mode may generate a field that is complicated, taking the combination of multiple harmonics spanning different frequencies, the reception or transmission into the far field can identify spatial offsets into the far field, especially in angle, which may be parameterized into azimuth and elevation. Due to the nature of the asymmetry in the individual transducer element this is possible, but the effect may be strengthened further by coupling this with the irrational and non-repeating frequency behavior of the tiling. By actuating and/or receiving using these shapes, their tilings and their harmonics, potentially across multiple elements, exact positions of objects intersecting the far field of the acoustic generated by such an element or group of elements may be deduced by algorithmically or otherwise examining signals received by these elements or by microphones. Equally, the signal may be emitted by a simple transducer and received by an array such as is earlier described. The result of this is that by using all of the harmonics and receiver can track its angular location relative to potentially even an individual transducer.


Shown in FIG. 27 is a simulation 2600 of maximum z-deflection for bending mode of piezoelectric actuator in the right-angle triangle shape 2640 for insertion into the pinwheel tiling. The x-axis 2610 is in millimeters; the y-axis 2630 is in millimeters; the z-axis 2620 is in micrometers. The scaling is shown on the right bar 2650.


Shown in FIG. 28 is a simulation of maximum z-deflection for bending mode of piezoelectric actuator in the right-angle triangle shape 2740 for insertion into the pinwheel tiling. This has a slot cut to accentuate the bending mode but reducing the resonant frequency of the tile. The x-axis 2710 is in millimeters; the y-axis 2730 is in millimeters; the z-axis 2720 is in micrometers. The scaling is shown on the right bar 2750.


As any device that behaves with the correct center of mass may make use of this tiling procedure, it is in this case only required to create a wave generating technology with this physical footprint. The exact technology is not required to be piezoelectric transducing elements, and may be electrostatic, MEMs, CMUTs, PMUTs or any other prevailing technology or process. This invention may be applied to any transducer process to produce a complete or partial spatial packing of a two-dimensional plane with substantially reduced or eliminated element-to-element gaps.


Additional disclosure includes: 1. An array of triangular transducers wherein the locations of physical features can be described by barycentric coordinates applied to a triangle with sides forming the ratio 1:2:√5.


2. The array of ¶1, wherein the transducers comprise acoustic transducers.


3. The array of ¶1, wherein the transducers comprise an array of antennae for beamforming electromagnetic signals.


4. The array of ¶1, wherein the triangles whose sides form the ratio 1:2:√5 to which the barycentric coordinates are applied to yield the feature locations are themselves subdivisions of other triangles whose sides form the ratio 1:2:√5.


5. An array comprising one or more tiles of transducers each comprised of many square transducers in a partial phyllotactic spiral pattern wherein two opposite corners of the transducer and a point in space common to the acoustic transducer elements on the tile are collinear.


6. The array of ¶5, wherein the transducers comprise acoustic transducers.


7. The array of ¶5, wherein the transducers comprise an array of antennae for beamforming electromagnetic signals.


8. The array of ¶5, wherein the common point in space collinear to opposite corners of each transducer does not lie on the tile of transducer elements.


9. A device comprising one or more asymmetric transducers, wherein the field generated at a plurality of frequencies from a plurality of stable asymmetric resonant modes is used to localize a transducer detecting the field at a plurality of frequencies.


10. The device of ¶9, wherein the transducers comprise acoustic transducers.


11. The device of ¶9, wherein the transducers comprise an array of antennae for beamforming electromagnetic signals.


12. The device of ¶9, wherein the transducer is of a triangular shape, wherein the locations of physical features can be described by barycentric coordinates applied to a triangle with sides forming the ratio 1:2:√5.


13. The device of ¶9, wherein the transducer detecting the field is also an asymmetric transducer with a plurality of stable asymmetric resonant modes which are capable of detecting the field at a plurality of frequencies.


14. The device of ¶9, wherein the acoustic field detected using a plurality of stable asymmetric resonant modes at a plurality of resonant frequencies of the detector may be any arbitrary acoustic field.


III. Transducer Placement Using Recursive Techniques

Square shaped transducers are ideal for rectilinear arrangements resulting in zero wasted area. They can suffer from grating lobes, however, if they are of comparable size to the emitted wavelength. Placing square transducers into a phyllotactic spiral can break up secondary foci but necessities a reduction in packing density of at least 40%. To achieve the 40% parameter, individual transducers need to be singulated which increases cost of manufacture.


The invention presented here details a recursive technique to adjust the placement of square transducers in order to achieve an adjustable balance between packing density and effectiveness of reducing grating lobe magnitude.


Shown in FIG. 29 is a simulation 2900 that details the basic steps for arranging a square unit cell into a new arrangement. Starting with rectilinear placing 2910, cells 1 and 2 are displaced to the right by an amount ‘a’ 2920. Next, unit cells 2 and 3 are adjusted down by amount ‘b’ 2930. This is followed by 3 and 4 moving left by ‘c’ 2940 and 1 and 4 moving up by ‘d’ 2950. With the size of one edge of the square unit cell given by 2r, this changes the location of unit cell centers to:


Unit 1=[−r+a,r+d]


Unit 2=[r+a,r−b]


Unit 3=[r−c,−r−b]


Unit 4=[−r−c,−r+d],


where the notation is given by [x-location, y-location]. Careful choices of the adjustment parameters (a,b,c,d) can give arrangements of all the elements which breaks symmetry.


Shown in FIG. 30 is a simulation 3000 that illustrates how this method is recursively extended to build larger arrays of elements. Specifically, this is an illustration of a 4×4 tile recursively enumerated into a 16×16 element array 3010. The offset values (a′ 3020, b′ 3030, c′ 3040, d′ 3050) can be repeated from the previous round of recursion or generated anew.


Shown in FIG. 31 is a simulation 3100 that illustrates some variation possibilities provided by rotation 3110 or mirroring 3120 or both 3130. This can provide more randomness into the arrangement to increase performance at a given packing density. This shows variation on simple offset tiling. As each tile is duplicated it can be mirrored or rotated. Like the offset values, these techniques can be recursively repeated to larger and larger arrays.


Determining which arrangements are most effective must be done through simulation. This can be as computationally sophisticated as a full non-linear finite-element approach or as simple as a linear Huygens model. As an example, array activation coefficients can be calculated so that a focus is steered to [x,y,z]=[40 mm,0,200 mm], and a Huygens model calculates the field to some large extent in that plane. If the array is less dense than critical-spacing, a grating lobe secondary focus will appear somewhere in that plane. If the array arrangement is effective, this focus will be distributed in space and the peak secondary pressure (not the focus) will be low compared to the focus. The contrast between the focus pressure and the peak secondary pressure forms a metric for comparison of different arrangements. One can search through a large number of skew values with and without rotation or mirroring and pick the best performer for a given packing density.



FIGS. 32-34 illustrate a few examples of pseudo-random arrangements which effectively distribute grating lobe energy and prevent secondary foci using 7 mm square transducers operating at 61 kHz.



FIGS. 32A, 32B, 32C, and 32D show an example 256 element array of 7 mm square transducers constructed using rotation 3200321032203230. In this example [a,b,c,d]=[1.6 mm,1.3 mm,1.1 mm,0.7 mm] for each round of recursion.



FIGS. 33A, 33B, 33C, and 33D show an example 256 element array of 7 mm square transducers constructed using rotation and mirroring 3300331033203330. In this example [a,b,c,d]=[1.6 mm,1.3 mm,1.1 mm,0.7 mm] for each round of recursion just as FIG. 17 but with improved results.



FIGS. 34A, 34B, 34C, and 34D show an example 256 element array of 7 mm square transducers constructed using rotation and mirroring 3400341034203430. In this example [a,b,c,d]=[0,1.9 mm,0,0] for the first two rounds of recursion then no added offsets and only rotation for the last two.


One advantage of this technique compared to a phyllotactic spiral arrangement is that the array can be built in tiles. Each recursive arrangement step which quadruples the array size uses the previous unit cell as its basis—only rotating, mirroring, and skewing the arrangement as its placed into a new square. As a result, this unit cell (and its mirror, if used) can be manufactured as a unit and assembled into the larger array.


While this technique generates square arrays, when a satisfactory square arrangement is found, it can be sectioned to non-square sub-arrays which will be nearly as effective at spreading out grating lobe foci as the original square arrangement. These non-square arrangements can be used together to make larger non-square shapes. Only when the number of sub-units starts is comparable to the number of transducers within each sub-unit does the possibility of grating lob problems resurfacing become an issue.


The key advantage of the invention presented here is that the search space for effective solutions is far reduced compared to random, arbitrary placement. The parameters which can vary in this system are the offsets for each round of recursion and the decision to mirror, rotate, or both. This allows for a tightly bounded search space and reduces the computation required to a manageable subset.



FIG. 35 is a graph 3500 showing the best simulated recursive offset arrays using 256, 7 mm square transducers at 61 kHz. The y-axis 3520 is the difference between the focus pressure and peak grating lobe pressure. The x-axis 3510 shows the total area of each array. The ‘best 1-tile results’ line 3530 shows that through only rotation (as mirroring would require a ‘second-tile’ to be manufactured) solutions can be found whose performance ranges from closely-packed rectilinear to phyllotactic spiral-performance, albeit with lower density. The ‘best 2-tile results’ line 3540 shows that by adding mirroring, solutions within 1.5 dB of phyllotactic-spiral performance can be achieved at similar packing density, without the necessity of singulation or rotating individual elements. In addition, if space is limited for the array, for a given area an effective solution is generated which distributes grating lobe energy.


Other points included on the plot are closely-packed rectilinear (square array 3550), a phyllotactic spiral with rotated square elements (square rotated sunflower 3580), and estimates 3 triangle-element arrays 3560 (discussed elsewhere) with equal emission to the squares, as well as decreased emission at −3 dB 3570 and −4 dB 3590.


Additional disclosure includes: 1. An array comprising of many tiles comprising of a plurality of transducers wherein the physical transducer locations are perturbed through rigid transformations such that the new footprint of each element intersects the footprint before the transformation is applied, wherein the original footprint of each comprises a uniform layout of acoustic transducers.


2. The array of ¶1, wherein the transducers comprise acoustic transducers.


3. The array of ¶5, wherein the transducers comprise an array of antennae for beamforming electromagnetic signals.


4. The array of ¶1, wherein the physical tile locations are perturbed through rigid transformations, wherein the new footprint of each tile intersects the footprint before the transformation is applied.


5. The array of ¶1, wherein the transformations are applied recursively to smaller tile arrangements that make up larger tile arrangements.


6. The array of ¶1, wherein a single tile is replicated to produce a plurality of tiles, which are then arranged using rigid transformations to produce an array.


7. The array of ¶1, wherein the transformed arrangement reduces grating lobe intensity.


IV. Conclusion

In the foregoing specification, specific embodiments have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present teachings.


Moreover, in this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “has”, “having,” “includes”, “including,” “contains”, “containing” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, has, includes, contains a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a”, “has . . . a”, “includes . . . a”, “contains . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises, has, includes, contains the element. The terms “a” and “an” are defined as one or more unless explicitly stated otherwise herein. The terms “substantially”, “essentially”, “approximately”, “about” or any other version thereof, are defined as being close to as understood by one of ordinary skill in the art. The term “coupled” as used herein is defined as connected, although not necessarily directly and not necessarily mechanically. A device or structure that is “configured” in a certain way is configured in at least that way but may also be configured in ways that are not listed.


The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.

Claims
  • 1. An apparatus comprising: a plurality of ultrasonic transducers;an operating acoustic wavelength;a plurality of acoustic cavities, wherein each of the plurality of acoustic cavities has an input opening and an exit opening, the input opening having an entering ultrasound, the exit opening having a geometric center and having exiting ultrasound;wherein each input opening accepts ultrasound from one of the plurality of transducers;wherein at least two of the geometric centers of the exit openings are distanced from one another less than the operating acoustic wavelength;wherein for a first of the plurality of acoustic cavities, a first exiting ultrasound has a first phase offset relative to a first entering ultrasound;wherein for a second of the plurality of acoustic cavities, a second exiting ultrasound has a second phase offset relative to a second entering ultrasound;wherein the first phase offset is different than the second phase offset;wherein the first phase offset is inverted and applied to a phase of at least one transducer drive before emission.
  • 2. The apparatus as in claim 1, wherein the first exiting ultrasound is modulated to produce audible sound.
  • 3. The apparatus as in claim 1, wherein the first exiting ultrasound is modulated to produce a mid-air haptic effect.
  • 4. The apparatus as in claim 1, wherein the first exiting ultrasound is used to levitate an object.
  • 5. The apparatus as in claim 1, wherein the first exiting ultrasound has an amplitude offset relative to the first entering ultrasound.
  • 6. The apparatus as in claim 5, wherein the amplitude offset is used to modify amplitudes of at least one transducer before emission.
  • 7. The apparatus as in claim 2, wherein the exit openings are substantially co-planar.
  • 8. The apparatus as in claim 7, wherein the audible sound is directed at an angle greater than 15 degrees normal to a plane.
  • 9. The apparatus as in claim 7, wherein the audible sound is directed at an angle greater than 30 degrees normal to a plane.
  • 10. The apparatus as in claim 7, wherein the audible sound is directed at an angle greater than 45 degrees normal to a plane.
  • 11. The apparatus as in claim 7, wherein the audible sound is directed at an angle greater than 60 degrees normal to a plane.
  • 12. The apparatus as in claim 5, wherein the amplitude offset is within 2 dB.
  • 13. The apparatus as in claim 1, wherein the plurality of acoustic cavities comprise straight cylinders with a decreasing radius from the input opening to the exit opening.
  • 14. The apparatus as in claim 13, wherein the operating acoustic wavelength is less than 9 mm.
  • 15. The apparatus as in claim 13, wherein a pitch of the exit opening is less than 6 mm.
  • 16. The apparatus as in claim 1, wherein the first phase offset and the second phase offset are stored in memory.
  • 17. The apparatus as in claim 5, wherein the amplitude offset is stored in memory.
  • 18. The apparatus as in claim 1, wherein the exit openings are arranged to create grating lobe intensity.
  • 19. The apparatus as in claim 18, wherein the exit openings have a horn-like exit aperture to increase coupling to open air.
PRIOR APPLICATIONS

This application claims the benefit of: (1) U.S. Provisional Patent Application No. 62/953,577, filed Dec. 25, 2019; and (2) U.S. Provisional Patent Application No. 62/954,171, filed on Dec. 27, 2019, both of which are incorporated by reference in its entirety.

US Referenced Citations (333)
Number Name Date Kind
4218921 Berge Aug 1980 A
4771205 Mequio Sep 1988 A
4881212 Takeuchi Nov 1989 A
5226000 Moses Jul 1993 A
5235986 Maslak Aug 1993 A
5243344 Koulopoulos Sep 1993 A
5329682 Thurn Jul 1994 A
5371834 Tawel Dec 1994 A
5422431 Ichiki Jun 1995 A
5426388 Flora Jun 1995 A
5477736 Lorraine Dec 1995 A
5511296 Dias Apr 1996 A
5729694 Holzrichter Mar 1998 A
5859915 Norris Jan 1999 A
6029518 Oeftering Feb 2000 A
6193936 Gardner Feb 2001 B1
6216538 Yasuda Apr 2001 B1
6436051 Morris Aug 2002 B1
6503204 Sumanaweera Jan 2003 B1
6647359 Verplank Nov 2003 B1
6771294 Pulli Aug 2004 B1
6772490 Toda Aug 2004 B2
6800987 Toda Oct 2004 B2
7107159 German Sep 2006 B2
7109789 Spencer Sep 2006 B2
7182726 Williams Feb 2007 B2
7225404 Zilles May 2007 B1
7284027 Jennings, III Oct 2007 B2
7345600 Fedigan Mar 2008 B1
7487662 Schabron Feb 2009 B2
7497662 Mollmann Mar 2009 B2
7577260 Hooley Aug 2009 B1
7692661 Cook Apr 2010 B2
RE42192 Schabron Mar 2011 E
7966134 German Jun 2011 B2
8000481 Nishikawa Aug 2011 B2
8123502 Blakey Feb 2012 B2
8269168 Axelrod Sep 2012 B1
8279193 Birnbaum Oct 2012 B1
8351646 Fujimura Jan 2013 B2
8369973 Risbo Feb 2013 B2
8594350 Hooley Nov 2013 B2
8607922 Werner Dec 2013 B1
8782109 Tsutsui Jul 2014 B2
8833510 Koh Sep 2014 B2
8884927 Cheatham, III Nov 2014 B1
9208664 Peters Dec 2015 B1
9267735 Funayama Feb 2016 B2
9421291 Robert Aug 2016 B2
9612658 Subramanian Apr 2017 B2
9662680 Yamamoto May 2017 B2
9667173 Kappus May 2017 B1
9816757 Zielinski Nov 2017 B1
9841819 Carter Dec 2017 B2
9863699 Corbin, III Jan 2018 B2
9898089 Subramanian Feb 2018 B2
9945818 Ganti Apr 2018 B2
9958943 Long May 2018 B2
9977120 Carter May 2018 B2
10101811 Carter Oct 2018 B2
10101814 Carter Oct 2018 B2
10133353 Eid Nov 2018 B2
10140776 Schwarz Nov 2018 B2
10146353 Smith Dec 2018 B1
10168782 Tchon Jan 2019 B1
10268275 Carter Apr 2019 B2
10281567 Carter May 2019 B2
10318008 Sinha Jun 2019 B2
10444842 Long Oct 2019 B2
10469973 Hayashi Nov 2019 B2
10496175 Long Dec 2019 B2
10497358 Tester Dec 2019 B2
10510357 Kovesi Dec 2019 B2
10520252 Momen Dec 2019 B2
10523159 Megretski Dec 2019 B2
10531212 Long Jan 2020 B2
10535174 Rigiroli Jan 2020 B1
10569300 Hoshi Feb 2020 B2
10593101 Han Mar 2020 B1
10657704 Han May 2020 B1
10685538 Carter Jun 2020 B2
10755538 Carter Aug 2020 B2
10818162 Carter Oct 2020 B2
10911861 Buckland Feb 2021 B2
10915177 Carter Feb 2021 B2
10921890 Subramanian Feb 2021 B2
10930123 Carter Feb 2021 B2
10943578 Long Mar 2021 B2
11048329 Lee Jun 2021 B1
11098951 Kappus Aug 2021 B2
11113860 Rigiroli Sep 2021 B2
11169610 Sarafianou Nov 2021 B2
11189140 Long Nov 2021 B2
11204644 Long Dec 2021 B2
11276281 Carter Mar 2022 B2
11531395 Kappus Dec 2022 B2
11543507 Carter Jan 2023 B2
11550395 Beattie Jan 2023 B2
11550432 Carter Jan 2023 B2
11553295 Kappus Jan 2023 B2
20010007591 Pompei Jul 2001 A1
20010033124 Norris Oct 2001 A1
20020149570 Knowles Oct 2002 A1
20030024317 Miller Feb 2003 A1
20030144032 Brunner Jul 2003 A1
20030182647 Radeskog Sep 2003 A1
20040005715 Schabron Jan 2004 A1
20040014434 Haardt Jan 2004 A1
20040052387 Norris Mar 2004 A1
20040091119 Duraiswami May 2004 A1
20040210158 Organ Oct 2004 A1
20040226378 Oda Nov 2004 A1
20040264707 Yang Dec 2004 A1
20050052714 Klug Mar 2005 A1
20050056851 Althaus Mar 2005 A1
20050212760 Marvit Sep 2005 A1
20050226437 Pellegrini Oct 2005 A1
20050267695 German Dec 2005 A1
20050273483 Dent Dec 2005 A1
20060085049 Cory Apr 2006 A1
20060090955 Cardas May 2006 A1
20060091301 Trisnadi May 2006 A1
20060164428 Cook Jul 2006 A1
20070036492 Lee Feb 2007 A1
20070094317 Wang Apr 2007 A1
20070177681 Choi Aug 2007 A1
20070214462 Boillot Sep 2007 A1
20070263741 Erving Nov 2007 A1
20080012647 Risbo Jan 2008 A1
20080027686 Mollmann Jan 2008 A1
20080084789 Altman Apr 2008 A1
20080130906 Goldstein Jun 2008 A1
20080152191 Fujimura Jun 2008 A1
20080226088 Aarts Sep 2008 A1
20080273723 Hartung Nov 2008 A1
20080300055 Lutnick Dec 2008 A1
20090093724 Pernot Apr 2009 A1
20090116660 Croft, III May 2009 A1
20090232684 Hirata Sep 2009 A1
20090251421 Bloebaum Oct 2009 A1
20090319065 Risbo Dec 2009 A1
20100013613 Weston Jan 2010 A1
20100016727 Rosenberg Jan 2010 A1
20100030076 Vortman Feb 2010 A1
20100044120 Richter Feb 2010 A1
20100066512 Rank Mar 2010 A1
20100085168 Kyung Apr 2010 A1
20100103246 Schwerdtner Apr 2010 A1
20100109481 Buccafusca May 2010 A1
20100199232 Mistry Aug 2010 A1
20100231508 Cruz-Hernandez Sep 2010 A1
20100262008 Roundhill Oct 2010 A1
20100302015 Kipman Dec 2010 A1
20100321216 Jonsson Dec 2010 A1
20110006888 Bae Jan 2011 A1
20110010958 Clark Jan 2011 A1
20110051554 Varray Mar 2011 A1
20110066032 Vitek Mar 2011 A1
20110199342 Vartanian Aug 2011 A1
20110310028 Camp, Jr. Dec 2011 A1
20120057733 Morii Mar 2012 A1
20120063628 Rizzello Mar 2012 A1
20120066280 Tsutsui Mar 2012 A1
20120223880 Birnbaum Sep 2012 A1
20120229400 Birnbaum Sep 2012 A1
20120229401 Birnbaum Sep 2012 A1
20120236689 Brown Sep 2012 A1
20120243374 Dahl Sep 2012 A1
20120249409 Toney Oct 2012 A1
20120249474 Pratt Oct 2012 A1
20120299853 Dagar Nov 2012 A1
20120307649 Park Dec 2012 A1
20120315605 Cho Dec 2012 A1
20130035582 Radulescu Feb 2013 A1
20130079621 Shoham Mar 2013 A1
20130094678 Scholte Apr 2013 A1
20130100008 Marti Apr 2013 A1
20130101141 Mcelveen Apr 2013 A1
20130173658 Adelman Jul 2013 A1
20130331705 Fraser Dec 2013 A1
20140027201 Islam Jan 2014 A1
20140104274 Hilliges Apr 2014 A1
20140139071 Yamamoto May 2014 A1
20140168091 Jones Jun 2014 A1
20140201666 Bedikian Jul 2014 A1
20140204002 Bennet Jul 2014 A1
20140265572 Siedenburg Sep 2014 A1
20140269207 Baym Sep 2014 A1
20140269208 Baym Sep 2014 A1
20140269214 Baym Sep 2014 A1
20140270305 Baym Sep 2014 A1
20140369514 Baym Dec 2014 A1
20150002477 Cheatham, III Jan 2015 A1
20150005039 Liu Jan 2015 A1
20150006645 Oh Jan 2015 A1
20150007025 Sassi Jan 2015 A1
20150013023 Wang Jan 2015 A1
20150029155 Lee Jan 2015 A1
20150066445 Lin Mar 2015 A1
20150070147 Cruz-Hernandez Mar 2015 A1
20150070245 Han Mar 2015 A1
20150078136 Sun Mar 2015 A1
20150081110 Houston Mar 2015 A1
20150084929 Lee Mar 2015 A1
20150110310 Minnaar Apr 2015 A1
20150130323 Harris May 2015 A1
20150168205 Lee Jun 2015 A1
20150192995 Subramanian Jul 2015 A1
20150220199 Wang Aug 2015 A1
20150226537 Schorre Aug 2015 A1
20150226831 Nakamura Aug 2015 A1
20150248787 Abovitz Sep 2015 A1
20150258431 Stafford Sep 2015 A1
20150277610 Kim Oct 2015 A1
20150293592 Cheong Oct 2015 A1
20150304789 Babayoff Oct 2015 A1
20150323667 Przybyla Nov 2015 A1
20150331576 Piya Nov 2015 A1
20150332075 Burch Nov 2015 A1
20160019762 Levesque Jan 2016 A1
20160019879 Daley Jan 2016 A1
20160026253 Bradski Jan 2016 A1
20160044417 Clemen, Jr. Feb 2016 A1
20160124080 Carter May 2016 A1
20160138986 Carlin May 2016 A1
20160175701 Froy Jun 2016 A1
20160175709 Idris Jun 2016 A1
20160189702 Blanc Jun 2016 A1
20160242724 Lavallee Aug 2016 A1
20160246374 Carter Aug 2016 A1
20160249150 Carter Aug 2016 A1
20160291716 Boser Oct 2016 A1
20160306423 Uttermann Oct 2016 A1
20160320843 Long Nov 2016 A1
20160339132 Cosman Nov 2016 A1
20160374562 Vertikov Dec 2016 A1
20170002839 Bukland Jan 2017 A1
20170004819 Ochiai Jan 2017 A1
20170018171 Carter Jan 2017 A1
20170024921 Beeler Jan 2017 A1
20170052148 Estevez Feb 2017 A1
20170123487 Hazra May 2017 A1
20170123499 Eid May 2017 A1
20170140552 Woo May 2017 A1
20170144190 Hoshi May 2017 A1
20170153707 Subramanian Jun 2017 A1
20170168586 Sinha Jun 2017 A1
20170181725 Han Jun 2017 A1
20170193768 Long Jul 2017 A1
20170193823 Jiang Jul 2017 A1
20170211022 Reinke Jul 2017 A1
20170236506 Przybyla Aug 2017 A1
20170270356 Sills Sep 2017 A1
20170279951 Hwang Sep 2017 A1
20170336860 Smoot Nov 2017 A1
20170366908 Long Dec 2017 A1
20180035891 Van Soest Feb 2018 A1
20180039333 Carter Feb 2018 A1
20180047259 Carter Feb 2018 A1
20180074580 Hardee Mar 2018 A1
20180081439 Daniels Mar 2018 A1
20180101234 Carter Apr 2018 A1
20180139557 Ochiai May 2018 A1
20180146306 Benattar May 2018 A1
20180151035 Maalouf May 2018 A1
20180166063 Long Jun 2018 A1
20180181203 Subramanian Jun 2018 A1
20180182372 Tester Jun 2018 A1
20180190007 Panteleev Jul 2018 A1
20180246576 Long Aug 2018 A1
20180253627 Baradel Sep 2018 A1
20180267156 Carter Sep 2018 A1
20180304310 Long Oct 2018 A1
20180309515 Murakowski Oct 2018 A1
20180310111 Kappus Oct 2018 A1
20180350339 Macours Dec 2018 A1
20180361174 Radulescu Dec 2018 A1
20190038496 Levesque Feb 2019 A1
20190091565 Nelson Mar 2019 A1
20190163275 Iodice May 2019 A1
20190175077 Zhang Jun 2019 A1
20190187244 Riccardi Jun 2019 A1
20190196578 Iodice Jun 2019 A1
20190196591 Long Jun 2019 A1
20190197840 Kappus Jun 2019 A1
20190197841 Carter Jun 2019 A1
20190197842 Long Jun 2019 A1
20190204925 Long Jul 2019 A1
20190206202 Carter Jul 2019 A1
20190235628 Lacroix Aug 2019 A1
20190257932 Carter Aug 2019 A1
20190310710 Deeley Oct 2019 A1
20190342654 Buckland Nov 2019 A1
20200042091 Long Feb 2020 A1
20200080776 Kappus Mar 2020 A1
20200082804 Kappus Mar 2020 A1
20200103974 Carter Apr 2020 A1
20200117229 Long Apr 2020 A1
20200193269 Park Jun 2020 A1
20200218354 Beattie Jul 2020 A1
20200294299 Rigiroli Sep 2020 A1
20200302760 Carter Sep 2020 A1
20200320347 Nikolenko Oct 2020 A1
20200327418 Lyons Oct 2020 A1
20200380832 Carter Dec 2020 A1
20210037332 Kappus Feb 2021 A1
20210043070 Carter Feb 2021 A1
20210109712 Long Apr 2021 A1
20210111731 Long Apr 2021 A1
20210112353 Kappus Apr 2021 A1
20210141458 Sarafianou May 2021 A1
20210165491 Sun Jun 2021 A1
20210170447 Buckland Jun 2021 A1
20210183215 Carter Jun 2021 A1
20210201884 Kappus Jul 2021 A1
20210225355 Long Jul 2021 A1
20210303072 Carter Sep 2021 A1
20210303758 Long Sep 2021 A1
20210334706 Yamaguchi Oct 2021 A1
20210381765 Kappus Dec 2021 A1
20210397261 Kappus Dec 2021 A1
20220035479 Lasater Feb 2022 A1
20220083142 Brown Mar 2022 A1
20220095068 Kappus Mar 2022 A1
20220113806 Long Apr 2022 A1
20220155949 Ring May 2022 A1
20220198892 Carter Jun 2022 A1
20220236806 Carter Jul 2022 A1
20220252550 Catsis Aug 2022 A1
20220300028 Long Sep 2022 A1
20220300070 Iodice Sep 2022 A1
20220329250 Long Oct 2022 A1
20220393095 Chilles Dec 2022 A1
Foreign Referenced Citations (61)
Number Date Country
2470115 Jun 2003 CA
101986787 Mar 2011 CN
102459900 May 2012 CN
102591512 Jul 2012 CN
103797379 May 2014 CN
103984414 Aug 2014 CN
107340871 Nov 2017 CN
0057594 Aug 1982 EP
309003 Mar 1989 EP
0696670 Feb 1996 EP
1875081 Jan 2008 EP
1911530 Apr 2008 EP
2271129 Jan 2011 EP
1461598 Apr 2014 EP
3207817 Aug 2017 EP
3216231 Aug 2019 EP
2464117 Apr 2010 GB
2513884 Nov 2014 GB
2513884 Nov 2014 GB
2530036 Mar 2016 GB
2008074075 Apr 2008 JP
2010109579 May 2010 JP
2011172074 Sep 2011 JP
2012048378 Mar 2012 JP
2012048378 Mar 2012 JP
5477736 Apr 2014 JP
2015035657 Feb 2015 JP
2016035646 Mar 2016 JP
20120065779 Jun 2012 KR
20130055972 May 2013 KR
20160008280 Jan 2016 KR
20200082449 Jul 2020 KR
9118486 Nov 1991 WO
9639754 Dec 1996 WO
03050511 Jun 2003 WO
2005017965 Feb 2005 WO
2007144801 Dec 2007 WO
2009071746 Jun 2009 WO
2009112866 Sep 2009 WO
2010003836 Jan 2010 WO
2010139916 Dec 2010 WO
2011132012 Oct 2011 WO
2012023864 Feb 2012 WO
2012104648 Aug 2012 WO
2013179179 Dec 2013 WO
2014181084 Nov 2014 WO
2014181084 Nov 2014 WO
2015006467 Jan 2015 WO
2015039622 Mar 2015 WO
2015127335 Aug 2015 WO
2016007920 Jan 2016 WO
2016073936 May 2016 WO
2016095033 Jun 2016 WO
2016099279 Jun 2016 WO
2016132141 Aug 2016 WO
2016132144 Aug 2016 WO
2016137675 Sep 2016 WO
2016162058 Oct 2016 WO
2017172006 Oct 2017 WO
2020049321 Mar 2020 WO
WO-2021130505 Jul 2021 WO
Non-Patent Literature Citations (317)
Entry
Communication Pursuant to Article 94(3) EPC for EP 19723179.8 (Feb. 15, 2022), 10 pages.
EPO ISR and WO for PCT/GB2022/050204 (Apr. 7, 2022) (15 pages).
IN 202047026493 Office Action dated Mar. 8, 2022, 6 pages.
ISR & WO for PCT/GB2021/052946, 15 pages.
Office Action (Final Rejection) dated Mar. 14, 2022 for U.S. Appl. No. 16/564,016 (pp. 1-12).
Office Action (Non-Final Rejection) dated Mar. 4, 2022 for U.S. Appl. No. 16/404,660 (pp. 1-5).
Office Action (Non-Final Rejection) dated Mar. 15, 2022 for U.S. Appl. No. 16/144,474 (pp. 1-13).
Office Action (Non-Final Rejection) dated Apr. 1, 2022 for U.S. Appl. No. 16/229,091 (pp. 1-10).
Office Action (Non-Final Rejection) dated May 2, 2022 for U.S. Appl. No. 17/068,831 (pp. 1-10).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Mar. 7, 2022 for U.S. Appl. No. 16/600,496 (pp. 1-5).
Almusawi et al., “A new artificial neural network approach in solving inverse kinematics of robotic arm (denso vp6242).” Computational intelligence and neuroscience 2016 (2016). (Year: 2016).
Azad et al., Deep domain adaptation under deep label scarcity. arXiv preprint arXiv:1809.08097 (2018) (Year: 2018).
Beranek, L., & Mellow, T. (2019). Acoustics: Sound Fields, Transducers and Vibration. Academic Press.
Boureau et al.,“A theoretical analysis of feature pooling in visual recognition.” In Proceedings of the 27th international conference on machine learning (ICML-10), pp. 111-118. 2010. (Year: 2010).
Bybi, A., Grondel, S., Mzerd, A., Granger, C., Garoum, M., & Assaad, J. (2019). Investigation of cross-coupling in piezoelectric transducer arrays and correction. International Journal of Engineering and Technology Innovation, 9(4), 287.
Certon, D., Felix, N., Hue, P. T. H., Patat, F., & Lethiecq, M. (Oct. 1999). Evaluation of laser probe performances for measuring cross-coupling in 1-3 piezocomposite arrays. In 1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium (Cat. No. 99CH37027) (vol. 2, pp. 1091-1094).
Certon, D., Felix, N., Lacaze, E., Teston, F., & Patat, F. (2001). Investigation of cross-coupling in 1-3 piezocomposite arrays. ieee transactions on ultrasonics, ferroelectrics, and frequency control, 48(1), 85-92.
Chang Suk Lee et al., An electrically switchable visible to infra-red dual frequency cholesteric liquid crystal light shutter, J. Mater. Chem. C, 2018, 6, 4243 (7 pages).
Der et al., Inverse kinematics for reduced deformable models. ACM Transactions on graphics (TOG) 25, No. 3 (2006): 1174-1179 (Year: 2006).
DeSilets, C. S. (1978). Transducer arrays suitable for acoustic imaging (No. GL-2833). Stanford Univ CA Edward L Ginzton Lab of Physics.
Duka, “Neural network based inverse kinematics solution for trajectory tracking of a robotic arm.” Procedia Technology 12 (2014) 20-27. (Year: 2014).
Henneberg, J., Geriach, A., Storck, H., Cebulla, H., & Marburg, S. (2018). Reducing mechanical cross-coupling in phased array transducers using stop band material as backing. Journal of Sound and Vibration, 424, 352-364.
https://radiopaedia.org/articles/physical-principles-of-ultrasound-1?lang=gb (Accessed May 29, 2022).
Office Action (Non-Final Rejection) dated May 25, 2022 for U.S. Appl. No. 16/843,281 (pp. 1-28).
Office Action (Non-Final Rejection) dated Jun. 9, 2022 for U.S. Appl. No. 17/080,840 (pp. 1-9).
Office Action (Non-Final Rejection) dated Jun. 27, 2022 for U.S. Appl. No. 16/198,959 (pp. 1-17).
Office Action (Non-Final Rejection) dated Jun. 27, 2022 for U.S. Appl. No. 16/734,479 (pp. 1-13).
Oikonomidis et al., “Efficient model-based 3D tracking of hand articulations using Kinect.” In BmVC, vol. 1, No. 2, p. 3. 2011. (Year 2011).
Patricio Rodrigues, E., Francisco de Oliveira, T., Yassunori Matuda, M., & Buiochi, F. (Sep. 2019). Design and Construction of a 2-D Phased Array Ultrasonic Transducer for Coupling in Water. In Inter-Noise and Noise-Con Congress and Conference Proceedings (vol. 259, No. 4, pp. 5720-5731). Institute of Noise Control Engineering.
Seo et al., “Improved numerical inverse kinematics for human pose estimation,” Opt. Eng. 50(3 037001 (Mar. 1, 2011) https://doi.org/10.1117/1.3549255 (Year: 2011).
Walter, S., Nieweglowski, K., Rebenklau, L., Wolter, K. J., Lamek, B., Schubert, F., . . . & Meyendorf, N. (May 2008). Manufacturing and electrical interconnection of piezoelectric 1-3 composite materials for phased array ultrasonic transducers. In 2008 31st International Spring Seminar on Electronics Technology (pp. 255-260).
Wang et al., Few-shot adaptive faster r-cnn. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7173-7182. 2019 (Year: 2019).
EPO Examination Search Report 17 702 910.5 (dated Jun. 23, 2021).
Office Action dated Oct. 29, 2021 for U.S. Appl. No. 16/198,959 (pp. 1-7).
Notice of Allowance dated Nov. 5, 2021 for U.S. Appl. No. 16/899,720 (pp. 1-9).
Corrected Notice of Allowability dated Nov. 24, 2021 for U.S. Appl. No. 16/600,500 (pp. 1-5).
International Search Report and Written Opinion for App. No. PCT/GB2021/051590, dated Nov. 11, 2021, 20 pages.
Anonymous: “How does Ultrahaptics technology work?—Ultrahaptics Developer Information”, Jul. 31, 2018 (Jul. 31, 2018), XP055839320, Retrieved from the Internet: URL:https://developer.ultrahaptics.com/knowledgebase/haptics-overview/ [retrieved on Sep. 8, 2021].
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Dec. 14, 2021 for U.S. Appl. No. 17/170,841 (pp. 1-8).
Office Action (Non-Final Rejection) dated Dec. 20, 2021 for U.S. Appl. No. 17/195,795 (pp. 1-7).
EPO Application 18 725 358.8 Examination Report dated Sep. 22, 2021.
EPO 21186570.4 Extended Search Report dated Oct. 29, 2021.
“Welcome to Project Soli” video, https://atap.google.com/#project-soli Accessed Nov. 30, 2018, 2 pages.
A. Sand, Head-Mounted Display with Mid-Air Tactile Feedback, Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, Nov. 13-15, 2015 (8 pages).
Alexander, J. et al. (2011), Adding Haptic Feedback to Mobile TV (6 pages).
Aoki et al., Sound location of stero reproduction with parametric loudspeakers, Applied Acoustics 73 (2012) 1289-1295 (7 pages).
Ashish Shrivastava et al., Learning from Simulated and Unsupervised Images through Adversarial Training, Jul. 19, 2017, pp. 1-16.
Bajard et al., BKM: A New Hardware Algorithm for Complex Elementary Functions, 8092 IEEE Transactions on Computers 43 (1994) (9 pages).
Bajard et al., Evaluation of Complex Elementary Functions / A New Version of BKM, SPIE Conference on Advanced Signal Processing, Jul. 1999 (8 pages).
Benjamin Long et al, “Rendering volumetric haptic shapes in mid-air using ultrasound”, ACM Transactions on Graphics (TOG), ACM, US, (Nov. 19, 2014), vol. 33, No. 6, ISSN 0730-0301, pp. 1-10.
Bortoff et al., Pseudolinearization of the Acrobot using Spline Functions, IEEE Proceedings of the 31st Conference on Decision and Control, Sep. 10, 1992 (6 pages).
Bozena Smagowska & Matgorzata Pawlaczyk-Łuszczyńska (2013) Effects of Ultrasonic Noise on the Human Body—A Bibliographic Review, International Journal of Occupational Safety and Ergonomics, 19:2, 195-202.
Canada Application 2,909,804 Office Action dated Oct. 18, 2019, 4 pages.
Casper et al., Realtime Control of Multiple-focus Phased Array Heating Patterns Based on Noninvasive Ultrasound Thermography, IEEE Trans Biomed Eng. Jan. 2012; 59(1): 95-105.
Christoper M. Bishop, Pattern Recognition and Machine Learning, 2006, pp. 1-758.
Colgan, A., “How Does the Leap Motion Controller Work?” Leap Motion, Aug. 9, 2014, 10 pages.
Corrected Notice of Allowability dated Jan. 14, 2021 for U.S. Appl. No. 15/897,804 (pp. 1-2).
Corrected Notice of Allowability dated Jun. 21, 2019 for U.S. Appl. No. 15/966,213 (2 pages).
Corrected Notice of Allowability dated Oct. 31, 2019 for U.S. Appl. No. 15/623,516 (pp. 1-2).
Damn Geeky, “Virtual projection keyboard technology with haptic feedback on palm of your hand,” May 30, 2013, 4 pages.
David Joseph Tan et al., Fits like a Glove: Rapid and Reliable Hand Shape Personalization, 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 5610-5619.
Definition of “Interferometry”according to Wikipedia, 25 pages., Retrieved Nov. 2018.
Definition of “Multilateration” according to Wikipedia, 7 pages., Retrieved Nov. 2018.
Definition of “Trilateration”according to Wikipedia, 2 pages., Retrieved Nov. 2018.
Diederik P. Kingma et al., Adam: A Method for Stochastic Optimization, Jan. 30, 2017, pp. 1-15.
E. Bok, Metasurface for Water-to-Air Sound Transmission, Physical Review Letters 120, 044302 (2018) (6 pages).
E.S. Ebbini et al. (1991), Aspherical-section ultrasound phased array applicator for deep localized hyperthermia, Biomedical Engineering, IEEE Transactions on (vol. 38 Issue: 7), pp. 634-643.
EPO Office Action for EP16708440.9 dated Sep. 12, 2018 (7 pages).
EPSRC Grant summary EP/J004448/1 (2011) (1 page).
Eric Tzeng et al., Adversarial Discriminative Domain Adaptation, Feb. 17, 2017, pp. 1-10.
European Office Action for Application No. EP16750992.6, dated Oct. 2, 2019, 3 pages.
Ex Parte Quayle Action dated Dec. 28, 2018 for U.S. Appl. No. 15/966,213 (pp. 1-7).
Extended European Search Report for Application No. EP19169929.7, dated Aug. 6, 2019, 7 pages.
Freeman et al., Tactile Feedback for Above-Device Gesture Interfaces: Adding Touch to Touchless Interactions ICMI'14, Nov. 12-16, 2014, Istanbul, Turkey (8 pages).
Gavrilov L R et al (2000) “A theoretical assessment of the relative performance of spherical phased arrays for ultrasound surgery” Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on (vol. 47, Issue: 1), pp. 125-139.
Gavrilov, L.R. (2008) “The Possibility of Generating Focal Regions of Complex Configurations in Application to the Problems of Stimulation of Human Receptor Structures by Focused Ultrasound” Acoustical Physics, vol. 54, No. 2, pp. 269-278.
Georgiou et al., Haptic In-Vehicle Gesture Controls, Adjunct Proceedings of the 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17), Sep. 24-27, 2017 (6 pages).
GitHub—danfis/libccd: Library for collision detection between two convex shapes, Mar. 26, 2020, pp. 1-6.
GitHub—IntelRealSense/hand_tracking_samples: researc codebase for depth-based hand pose estimation using dynamics based tracking and CNNs, Mar. 26, 2020, 3 pages.
Gokturk, et al., “ATime-of-Flight Depth Sensor-System Description, Issues and Solutions,” Published in: 2004 Conference on Computer Vision and Pattern Recognition Workshop, Date of Conference: Jun. 27-Jul. 2, 2004, 9 pages.
Hasegawa, K. and Shinoda, H. (2013) “Aerial Display of Vibrotactile Sensation with High Spatial-Temporal Resolution using Large Aperture Airbourne Ultrasound Phased Array”, University of Tokyo (6 pages).
Hilleges et al. Interactions in the air: adding further depth to interactive tabletops, UIST '09: Proceedings of the 22nd annual ACM symposium on User interface software and technologyOct. 2009 pp. 139-148.
Hoshi T et al, “Noncontact Tactile Display Based on Radiation Pressure of Airborne Ultrasound”, IEEE Transactions on Haptics, IEEE, USA, (Jul. 1, 2010), vol. 3, No. 3, ISSN 1939-1412, pp. 155-165.
Hoshi, T., Development of Aerial-Input and Aerial-Tactile-Feedback System, IEEE World Haptics Conference 2011, p. 569-573.
Hoshi, T., Handwriting Transmission System Using Noncontact Tactile Display, IEEE Haptics Symposium 2012 pp. 399-401.
Hoshi, T., Non-contact Tactile Sensation Synthesized by Ultrasound Transducers, Third Joint Euro haptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems 2009 (5 pages).
Hoshi, T., Touchable Holography, SIGGRAPH 2009, New Orleans, Louisiana, Aug. 3-7, 2009. (1 Page).
Hua J, Qin H., Haptics-based dynamic implicit solid modeling, IEEE Trans Vis Comput Graph. Sep.-Oct. 2004;10(5):574-86.
Iddan, et al., “3D Imaging in the Studio (And Elsewhwere . . . ” Apr. 2001, 3DV systems Ltd., Yokneam, Isreal, www.3dvsystems.com.il, 9 pages.
Imaginary Phone: Learning Imaginary Interfaces by Transferring Spatial Memory From a Familiar Device Sean Gustafson, Christian Holz and Patrick Baudisch. UIST 2011. (10 pages).
International Preliminary Report on Patentability and Written Opinion issued in corresponding PCT/US2017/035009, dated Dec. 4, 2018, 8 pages.
International Preliminary Report on Patentability for Application No. PCT/EP2017/069569 dated Feb. 5, 2019, 11 pages.
International Search Report and Written Opinion for Application No. PCT/GB2018/053738, dated Apr. 11, 2019, 14 pages.
International Search Report and Written Opinion for Application No. PCT/GB2018/053739, dated Jun. 4, 2019, 16 pages.
International Search Report and Written Opinion for Application No. PCT/GB2019/050969, dated Jun. 13, 2019, 15 pages.
International Search Report and Written Opinion for Application No. PCT/GB2019/051223, dated Aug. 8, 2019, 15 pages.
International Search Report and Written Opinion for Application No. PCT/GB2019/052510, dated Jan. 14, 2020, 25 pages.
ISR and WO for PCT/GB2020/050013 (Jul. 13, 2020) (20 pages).
ISR and WO for PCT/GB2020/050926 (Jun. 2, 2020) (16 pages).
ISR and WO for PCT/GB2020/052544 (Dec. 18, 2020) (14 pages).
ISR and WO for PCT/GB2020/052545 (Jan. 27, 2021) (14 pages).
ISR and WO for PCT/GB2020/052829 (Feb. 1, 2021) (15 pages).
Iwamoto et al. (2008), Non-contact Method for Producing Tactile Sensation Using Airborne Ultrasound, EuroHaptics, pp. 504-513.
Iwamoto et al., Airborne Ultrasound Tactile Display: Supplement, The University of Tokyo 2008 (2 pages).
Iwamoto T et al, “Two-dimensional Scanning Tactile Display using Ultrasound Radiation Pressure”, Haptic Interfaces for Virtual Environment and Teleoperator Systems, 20 06 14th Symposium on Alexandria, VA, USA Mar. 25-26, 2006, Piscataway, NJ, USA,IEEE, (Mar. 25, 2006), ISBN 978-1-4244-0226-7, pp. 57-61.
Jager et al., “Air-Coupled 40-KHZ Ultrasonic 2D-Phased Array Based on a 3D-Printed Waveguide Structure”, 2017 IEEE, 4 pages.
Japanese Office Action (with English language translation) for Application No. 2017-514569, dated Mar. 31, 3019, 10 pages.
Jonathan Taylor et al., Articulated Distance Fields for Ultra-Fast Tracking of Hands Interacting, ACM Transactions on Graphics, vol. 36, No. 4, Article 244, Publication Date: Nov. 2017, pp. 1-12.
Jonathan Taylor et al., Efficient and Precise Interactive Hand Tracking Through Joint, Continuous Optimization of Pose and Correspondences, SIGGRAPH '16 Technical Paper, Jul. 24-28, 2016, Anaheim, CA, ISBN: 978-1-4503-4279-87/16/07, pp. 1-12.
Jonathan Tompson et al., Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks, ACM Trans. Graph. 33, 5, Article 169, Aug. 2014, pp. 1-10.
K. Jia, Dynamic properties of micro-particles in ultrasonic transportation using phase-controlled standing waves, J. Applied Physics 116, n. 16 (2014) (12 pages).
Kaiming He et al., Deep Residual Learning for Image Recognition, http://image-net.org/challenges/LSVRC/2015/ and http://mscoco.org/dataset/#detections-challenge2015, Dec. 10, 2015, pp. 1-12.
Kamakura, T. and Aoki, K. (2006) “A Highly Directional Audio System using a Parametric Array in Air” WESPAC IX 2006 (8 pages).
Kolb, et al., “Time-of-Flight Cameras in Computer Graphics,” Computer Graphics forum, vol. 29 (2010), No. 1, pp. 141-159.
Konstantinos Bousmalis et al., Domain Separation Networks, 29th Conference on Neural Information Processing Sysgtems (NIPS 2016), Barcelona, Spain. Aug. 22, 2016, pp. 1-15.
Krim, et al., “Two Decades of Array Signal Processing Research—The Parametric Approach”, IEEE Signal Processing Magazine, Jul. 1996, pp. 67-94.
Lang, Robert, “3D Time-of-Flight Distance Measurement with Custom Solid-State Image Sensors in CMOS/CCD—Technology”, A dissertation submitted to Department of EE and CS at Univ. of Siegen, dated Jun. 28, 2000, 223 pages.
Large et al.,Feel the noise: Mid-air ultrasound haptics as a novel human-vehicle interaction paradigm, Applied Ergonomics (2019) (10 pages).
Li, Larry, “Time-of-Flight Camera—An Introduction,” Texas Instruments, Technical White Paper, SLOA190B—Jan. 2014 Revised May 2014, 10 pages.
Light, E.D., Progress in Two Dimensional Arrays for Real Time Volumetric Imaging, 1998 (17 pages).
M. Barmatz et al, “Acoustic radiation potential on a sphere in plane, cylindrical, and spherical standing wave fields”, The Journal of the Acoustical Society of America, New York, NY, US, (Mar. 1, 1985), vol. 77, No. 3, pp. 928-945, XP055389249.
M. Toda, New Type of Matching Layer for Air-Coupled Ultrasonic Transducers, IEEE Transactions on Ultrasonics, Ferroelecthcs, and Frequency Control, vol. 49, No. 7, Jul. 2002 (8 pages).
Mahdi Rad et al., Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images, Mar. 26, 2018, pp. 1-14.
Marco A B Andrade et al, “Matrix method for acoustic levitation simulation”, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, IEEE, US, (Aug. 1, 2011), vol. 58, No. 8, ISSN 0885-3010, pp. 1674-1683.
Marin, About LibHand, LibHand—AHand Articulation Library, www.libhand.org/index.html, Mar. 26, 2020, pp. 1-2; www.libhand.org/download.html, 1 page; www.libhand.org/examples.html, pp. 1-2.
Markus Oberweger et al., DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation, Aug. 28, 2017, pp. 1-10.
Markus Oberweger et al., Hands Deep in Deep Learning for Hand Pose Estimation, Dec. 2, 2016, pp. 1-10.
Marshall, M ., Carter, T., Alexander, J., & Subramanian, S. (2012). Ultratangibles: creating movable tangible objects on interactive tables. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, (pp. 2185-2188).
Marzo et al., Holographic acoustic elements for manipulation of levitated objects, Nature Communications DOI: I0.1038/ncomms9661 (2015) (7 pages).
Meijster, A., et al., “A General Algorithm for Computing Distance Transforms in Linear Time,” Mathematical Morphology and its Applications to Image and Signal Processing, 2002, pp. 331-340.
Mingzhu Lu et al. (2006) Design and experiment of 256-element ultrasound phased array for noninvasive focused ultrasound surgery, Ultrasonics, vol. 44, Supplement, Dec. 22, 2006, pp. e325-e330.
Mueller, GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB, Eye in-Painting with Exemplar Generative Adverserial Networks, pp. 49-59 (Jun. 1, 2018).
Nina Gaissert, Christian Wallraven, and Heinrich H. Bulthoff, “Visual and Haptic Perceptual Spaces Show High Similarity in Humans ”, published to Journal of Vision in 2010, available at http://www.journalofvision.org/content/10/11/2 and retrieved on Apr. 22, 2020 (Year: 2010), 20 pages.
Notice of Allowance dated Apr. 22, 2020 for U.S. Appl. No. 15/671,107 (pp. 1-5).
Notice of Allowance dated Dec. 19, 2018 for U.S. Appl. No. 15/665,629 (pp. 1-9).
Notice of Allowance dated Dec. 21, 2018 for U.S. Appl. No. 15/983,864 (pp. 1-7).
Notice of Allowance dated Feb. 10, 2020, for U.S. Appl. No. 16/160,862 (pp. 1-9).
Notice of Allowance dated Feb. 7, 2019 for U.S. Appl. No. 15/851,214 (pp. 1-7).
Notice of Allowance dated Jul. 31, 2019 for U.S. Appl. No. 15/851,214 (pp. 1-9).
Notice of Allowance dated Jul. 31, 2019 for U.S. Appl. No. 16/296,127 (pp. 1-9).
Notice of Allowance dated Jun. 17, 2020 for U.S. Appl. No. 15/210,661 (pp. 1-9).
Notice of Allowance dated May 30, 2019 for U.S. Appl. No. 15/966,213 (pp. 1-9).
Notice of Allowance dated Oct. 1, 2020 for U.S. Appl. No. 15/897,804 (pp. 1-9).
Notice of Allowance dated Oct. 16, 2020 for U.S. Appl. No. 16/159,695 (pp. 1-7).
Notice of Allowance dated Oct. 30, 2020 for U.S. Appl. No. 15/839,184 (pp. 1-9).
Notice of Allowance dated Oct. 6, 2020 for U.S. Appl. No. 16/699,629 (pp. 1-8).
Notice of Allowance dated Sep. 30, 2020 for U.S. Appl. No. 16/401,148 (pp. 1-10).
Notice of Allowance in U.S. Appl. No. 15/210,661 dated Jun. 17, 2020 (22 pages).
Obrist et al., Emotions Mediated Through Mid-Air Haptics, CHI 2015, Apr. 18-23, 2015, Seoul, Republic of Korea. (10 pages).
Obrist et al., Talking about Tactile Experiences, CHI 2013, Apr. 27-May 2, 2013 (10 pages).
Office Action dated Apr. 8, 2020, for U.S. Appl. No. 16/198,959 (pp. 1-17).
Office Action dated Apr. 16, 2020 for U.S. Appl. No. 15/839,184 (pp. 1-8).
Office Action dated Apr. 17, 2020 for U.S. Appl. No. 16/401,148 (pp. 1-15).
Office Action dated Apr. 18, 2019 for U.S. Appl. No. 16/296,127 (pp. 1-6).
Office Action dated Apr. 28, 2020 for U.S. Appl. No. 15/396,851 (pp. 1-12).
Office Action dated Apr. 29, 2020 for U.S. Appl. No. 16/374,301 (pp. 1-18).
Office Action dated Apr. 4, 2019 for U.S. Appl. No. 15/897,804 (pp. 1-10).
Office Action dated Aug. 22, 2019 for U.S. Appl. No. 16/160,862 (pp. 1-5).
Office Action dated Dec. 11, 2019 for U.S. Appl. No. 15/959,266 (pp. 1-15).
Office Action dated Dec. 7, 2020 for U.S. Appl. No. 16/563,608 (pp. 1-8).
Office Action dated Feb. 20, 2019 for U.S. Appl. No. 15/623,516 (pp. 1-8).
Office Action dated Feb. 25, 2020 for U.S. Appl. No. 15/960,113 (pp. 1-7).
Office Action dated Feb. 7, 2020 for U.S. Appl. No. 16/159,695 (pp. 1-8).
Office Action dated Jan. 10, 2020 for U.S. Appl. No. 16/228,767 (pp. 1-6).
Office Action dated Jan. 29, 2020 for U.S. Appl. No. 16/198,959 (p. 1-6).
Office Action dated Jul. 10, 2019 for U.S. Appl. No. 15/210,661 (pp. 1-12).
Office Action dated Jul. 26, 2019 for U.S. Appl. No. 16/159,695 (pp. 1-8).
Office Action dated Jul. 9, 2020 for U.S. Appl. No. 16/228,760 (pp. 1-17).
Office Action dated Jun. 19, 2020 for U.S. Appl. No. 16/699,629 (pp. 1-12).
Office Action dated Jun. 25, 2020 for U.S. Appl. No. 16/228,767 (pp. 1-27).
Office Action dated Mar. 11, 2021 for U.S. Appl. No. 16/228,767 (pp. 1-23).
Office Action dated Mar. 20, 2020 for U.S. Appl. No. 15/210,661 (pp. 1-10).
Office Action dated May 16, 2019 for U.S. Appl. No. 15/396,851 (pp. 1-7).
Office Action dated May 18, 2020 for U.S. Appl. No. 15/960,113 (pp. 1-21).
Office Action dated Oct. 17, 2019 for U.S. Appl. No. 15/897,804 (pp. 1-10).
Office Action dated Oct. 31, 2019 for U.S. Appl. No. 15/671,107 (pp. 1-6).
Office Action dated Oct. 7, 2019 for U.S. Appl. No. 15/396,851 (pp. 1-9).
Office Action dated Sep. 18, 2020 for U.S. Appl. No. 15/396,851 (pp. 1-14).
Office Action dated Sep. 21, 2020 for U.S. Appl. No. 16/198,959 (pp. 1-17).
OGRECave/ogre—GitHub: ogre/Samples/Media/materials at 7de80a7483f20b50f2b10d7ac6de9d9c6c87d364, Mar. 26, 2020, 1 page.
Optimal regularisation for acoustic source reconstruction by inverse methods, Y. Kim, P.A. Nelson, Institute of Sound and Vibration Research, University of Southampton, Southampton, SO17 1BJ, UK; 25 pages.
Oscar Martínez-Graullera et al, “2D array design based on Fermat spiral for ultrasound imaging”, Ultrasonics, (Feb. 1, 2010), vol. 50, No. 2, ISSN 0041-624X, pp. 280-289, XP055210119.
Partial International Search Report for Application No. PCT/GB2018/053735, dated Apr. 12, 2019, 14 pages.
Partial ISR for Application No. PCT/GB2020/050013 dated May 19, 2020 (16 pages).
PCT Partial International Search Report for Application No. PCT/GB2018/053404 dated Feb. 25, 2019, 13 pages.
Péter Tamás Kovács et al, “Tangible Holographic 3D Objects with Virtual Touch”, Interactive Tabletops & Surfaces, ACM, 2 Penn Plaza, Suite 701 New York NY 10121-0701 USA, (Nov. 15, 2015), ISBN 978-1-4503-3899-8, pp. 319-324.
Phys.org, Touchable Hologram Becomes Reality, Aug. 6, 2009, by Lisa Zyga (2 pages).
Pompei, F.J. (2002), “Sound from Ultrasound: The Parametric Array as an Audible Sound Source”, Massachusetts Institute of Technology (132 pages).
Rocchesso et al., Accessing and Selecting Menu Items by In-Air Touch, ACM CHItaly'19, Sep. 23-25, 2019, Padova, Italy (9 pages).
Schmidt, Ralph, “Multiple Emitter Location and Signal Parameter Estimation” IEEE Transactions of Antenna and Propagation, vol. AP-34, No. 3, Mar. 1986, pp. 276-280.
Sean Gustafson et al., “Imaginary Phone”, Proceedings of the 24th Annual ACM Symposium on User Interface Software and Techology: Oct. 16-19, 2011, Santa Barbara, CA, USA, ACM, New York, NY, Oct. 16, 2011, pp. 283-292, XP058006125, DOI: 10.1145/2047196.2047233, ISBN: 978-1-4503-0716-1.
Search report and Written Opinion of ISA for PCT/GB2015/050417 dated Jul. 8, 2016 (20 pages).
Search report and Written Opinion of ISA for PCT/GB2015/050421 dated Jul. 8, 2016 (15 pages).
Search report and Written Opinion of ISA for PCT/GB2017/050012 dated Jun. 8, 2017. (18 pages).
Search Report by EPO for EP 17748466 dated Jan. 13, 2021 (16 pages).
Search Report for GB1308274.8 dated Nov. 11, 2013. (2 pages).
Search Report for GB1415923.0 dated Mar. 11, 2015. (1 page).
Search Report for PCT/GB/2017/053729 dated Mar. 15, 2018 (16 pages).
Search Report for PCT/GB/2017/053880 dated Mar. 21, 2018. (13 pages).
Search report for PCT/GB2014/051319 dated Dec. 8, 2014 (4 pages).
Search report for PCT/GB2015/052507 dated Mar. 11, 2020 (19 pages).
Search report for PCT/GB2015/052578 dated Oct. 26, 2015 (12 pages).
Search report for PCT/GB2015/052916 dated Feb. 26, 2020 (18 pages).
Search Report for PCT/GB2017/052332 dated Oct. 10, 2017 (12 pages).
Search report for PCT/GB2018/051061 dated Sep. 26, 2018 (17 pages).
Search report for PCT/US2018/028966 dated Jul. 13, 2018 (43 pages).
Sergey Ioffe et al., Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariat Shift, Mar. 2, 2015, pp. 1-11.
Seungryul, Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation for RGB-based Desne 3D Hand Pose Estimation via Neural Rendering, arXiv:1904.04196v2 [cs.CV] Apr. 9, 2019 (5 pages).
Shakeri, G., Williamson, J. H. and Brewster, S. (2018) May the Force Be with You: Ultrasound Haptic Feedback for Mid-Air Gesture Interaction in Cars. In: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2018) (11 pages).
Shanxin Yuan et al., BigHand2.2M Bechmark: Hand Pose Dataset and State of the Art Analysis, Dec. 9, 2017, pp. 1-9.
Shome Subhra Das, Detectioin of Self Intersection in Synthetic Hand Pose Generators, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), Nagoya University, Nagoya, Japan, May 8-12, 2017, pp. 354-357.
Sixth Sense webpage, http://www.pranavmistry.com/projects/sixthsense/ Accessed Nov. 30, 2018, 7 pages.
Stan Melax et al., Dynamics Based 3D Skeletal Hand Tracking, May 22, 2017, pp. 1-8.
Steve Guest et al., “Audiotactile interactions in roughness perception”, Exp. Brain Res (2002) 146:161-171, DOI 10.1007/s00221-002-1164-z, Accepted: May 16, 2002/Published online: Jul. 26, 2002, Springer-Verlag 2002, (11 pages).
Sylvia Gebhardt, Ultrasonic Transducer Arrays for Particle Manipulation (date unknown) (2 pages).
Takahashi Dean: “Ultrahaptics shows off sense of touch in virtual reality”, Dec. 10, 2016 (Dec. 10, 2016), XP055556416, Retrieved from the Internet: URL: https://venturebeat.com/2016/12/10/ultrahaptics-shows-off-sense-of-touch-in-virtual-reality/ [retrieved on Feb. 13, 2019] 4 pages.
Takahashi, M. et al., Large Aperture Airborne Ultrasound Tactile Display Using Distributed Array Units, SICE Annual Conference 2010 p. 359-62.
Takayuki et al., “Noncontact Tactile Display Based on Radiation Pressure of Airborne Ultrasound” IEEE Transactions on Haptics vol. 3, No. 3, p. 165 (2010).
Teixeira, et al., “A brief introduction to Microsoft's Kinect Sensor,” Kinect, 26 pages, retrieved Nov. 2018.
Toby Sharp et al., Accurate, Robust, and Flexible Real-time Hand Tracking, CHI '15, Apr. 18-23, 2015, Seoul, Republic of Korea, ACM 978-1-4503-3145-6/15/04, pp. 1-10.
Tom Carter et al, “UltraHaptics: Multi-Point Mid-Air Haptic Feedback for Touch Surfaces”, Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, UIST'13, New York, New York, USA, (Jan. 1, 2013), ISBN 978-1-45-032268-3, pp. 505-514.
Tom Nelligan and Dan Kass, Intro to Ultrasonic Phased Array (date unknown) (8 pages).
Vincent Lepetit et al., Model Based Augmentation and Testing of an Annotated Hand Pose Dataset, ResearchGate, https://www.researchgate.net/publication/307910344, Sep. 2016, 13 pages.
Wang et al., Device-Free Gesture Tracking Using Acoustic Signals, ACM MobiCom '16, pp. 82-94 (13 pages).
Wilson et al., Perception of Ultrasonic Haptic Feedback on the Hand: Localisation and Apparent Motion, CHI 2014, Apr. 26-May 1, 2014, Toronto, Ontario, Canada. (10 pages).
Wooh et al., “Optimum beam steering of linear phased arays,” Wave Motion 29 (1999) pp. 245-265, 21 pages.
Xin Cheng et al, “Computation of the acoustic radiation force on a sphere based on the 3-D FDTD method”, Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA), 2010 Symposium on, IEEE, (Dec. 10, 2010), ISBN 978-1-4244-9822-2, pp. 236-239.
Xu Hongyi et al, “6-DoF Haptic Rendering Using Continuous Collision Detection between Points and Signed Distance Fields”, IEEE Transactions on Haptics, IEEE, USA, vol. 10, No. 2, ISSN 1939-1412, (Sep. 27, 2016), pp. 151-161, (Jun. 16, 2017).
Yang Ling et al, “Phase-coded approach for controllable generation of acoustical vortices”, Journal of Applied Physics, American Institute of Physics, US, vol. 113, No. 15, ISSN 0021-8979, (Apr. 21, 2013), pp. 154904-154904.
Yarin Gal et al., Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning, Oct. 4, 2016, pp. 1-12, Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016, JMLR: W&CP vol. 48.
Yaroslav Ganin et al., Domain-Adversarial Training of Neural Networks, Journal of Machine Learning Research 17 (2016) 1-35, submitted May 2015; published Apr. 2016.
Yaroslav Ganin et al., Unsupervised Domain Adaptataion by Backpropagation, Skolkovo Institute of Science and Technology (Skoltech), Moscow Region, Russia, Proceedings of the 32nd International Conference on Machine Learning, Lille, France, 2015, JMLR: W&CP vol. 37, copyright 2015 by the author(s), 11 pages.
Yoshino, K. and Shinoda, H. (2013), “Visio Acoustic Screen for Contactless Touch Interface with Tactile Sensation”, University of Tokyo (5 pages).
Zeng, Wejun, “Microsoft Kinect Sensor and Its Effect,” IEEE Multimedia, Apr.-Jun. 2012, 7 pages.
Brian Kappus and Ben Long, Spatiotemporal Modulation for Mid-Air Haptic Feedback from an Ultrasonic Phased Array, ICSV25, Hiroshima, Jul. 8-12, 2018, 6 pages.
Hoshi et al.,Tactile Presentation by Airborne Ultrasonic Oscillator Array, Proceedings of Robotics and Mechatronics Lecture 2009, Japan Society of Mechanical Engineers; May 24, 2009 (5 pages).
ISR & WO for PCT/GB2020/052545 (Jan. 27, 2021) 14 pages.
ISR for PCT/GB2020/052546 (Feb. 23, 2021) (14 pages).
ISR for PCT/GB2020/053373 (Mar. 26, 2021) (16 pages).
Notice of Allowance dated Apr. 20, 2021 for U.S. Appl. No. 16/563,608 (pp. 1-5).
Notice of Allowance dated Jun. 10, 2021 for U.S. Appl. No. 17/092,333 (pp. 1-9).
Notice of Allowance dated Jun. 25, 2021 for U.S. Appl. No. 15/396,851 (pp. 1-10).
Office Action dated Jun. 25, 2021 for U.S. Appl. No. 16/899,720 (pp. 1-5).
Office Action dated Mar. 31, 2021 for U.S. Appl. No. 16/228,760 (pp. 1-21).
Office Action dated May 13, 2021 for U.S. Appl. No. 16/600,500 (pp. 1-9).
Office Action dated May 14, 2021 for U.S. Appl. No. 16/198,959 (pp. 1-6).
ISR & WO for PCT/GB2022/051388 (Aug. 30, 2022) (15 pages).
Office Action (Final Rejection) dated Sep. 16, 2022 for U.S. Appl. No. 16/404,660 (pp. 1-6).
Office Action (Non-Final Rejection) dated Aug. 29, 2022 for U.S. Appl. No. 16/995,819 (pp. 1-6).
Office Action (Non-Final Rejection) dated Sep. 21, 2022 for U.S. Appl. No. 17/721,315 (pp. 1-10).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Aug. 24, 2022 for U.S. Appl. No. 16/198,959 (pp. 1-6).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Aug. 31, 2022 for U.S. Appl. No. 16/198,959 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Sep. 7, 2022 for U.S. Appl. No. 17/068,834 (pp. 1-8).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Sep. 8, 2022 for U.S. Appl. No. 17/176,899 (pp. 1-8).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Sep. 12, 2022 for U.S. Appl. No. 16/734,479 (pp. 1-7).
A. B. Vallbo, Receptive field characteristics of tactile units with myelinated afferents in hairy skin of human subjects, Journal of Physiology (1995), 483.3, pp. 783-795.
Amanda Zimmerman, The gentle touch receptors of mammalian skin, Science, Nov. 21, 2014, vol. 346 Issue 6212, p. 950.
Corrected Notice of Allowability dated Aug. 9, 2021 for U.S. Appl. No. 15/396,851 (pp. 1-6).
Henrik Bruus, Acoustofluidics 2: Perturbation theory and ultrasound resonance modes, Lab Chip, 2012, 12, 20-28.
Hyunjae Gil, Whiskers: Exploring the Use of Ultrasonic Haptic Cues on the Face, CHI 2018, Apr. 21-26, 2018, Montréal, QC, Canada.
India Morrison, The skin as a social organ, Exp Brain Res (2010) 204:305-314.
JonasChatel-Goldman, Touch increases autonomic coupling between romantic partners, Frontiers in Behavioral Neuroscience Mar. 2014, vol. 8, Article 95.
Kai Tsumoto, Presentation of Tactile Pleasantness Using Airborne Ultrasound, 2021 IEEE World Haptics Conference (WHC) Jul. 6-9, 2021. Montreal, Canada.
Keisuke Hasegawa, Electronically steerable ultrasound-driven long narrow airstream, Applied Physics Letters 111, 064104 (2017).
Keisuke Hasegawa, Midair Ultrasound Fragrance Rendering, IEEE Transactions on Visualization and Computer Graphics, vol. 24, No. 4, Apr. 2018 1477.
Keisuke Hasegawa,,Curved acceleration path of ultrasound-driven airflow, J. Appl. Phys. 125, 054902 (2019).
Line S Loken, Coding of pleasant touch by unmyelinated afferents in humans, Nature Neuroscience vol. 12 [ No. 5 [ May 2009 547.
Mariana von Mohr, The soothing function of touch: affective touch reduces feelings of social exclusion, Scientific Reports, 7: 13516, Oct. 18, 2017.
Mitsuru Nakajima, Remotely Displaying Cooling Sensation via Ultrasound-Driven Air Flow, Haptics Symposium 2018, San Francisco, USA p. 340.
Mohamed Yacine Tsalamlal, Affective Communication through Air Jet Stimulation: Evidence from Event-Related Potentials, International Journal of Human-Computer Interaction 2018.
Notice of Allowance dated Jul. 22, 2021 for U.S. Appl. No. 16/600,500 (pp. 1-9).
Office Action dated Aug. 10, 2021 for U.S. Appl. No. 16/564,016 (pp. 1-14).
Office Action dated Aug. 19, 2021 for U.S. Appl. No. 17/170,841 (pp. 1-9).
Office Action dated Aug. 9, 2021 for U.S. Appl. No. 17/068,825 (pp. 1-9).
Office Action dated Sep. 16, 2021 for U.S. Appl. No. 16/600,496 (pp. 1-8).
Office Action dated Sep. 24, 2021 for U.S. Appl. No. 17/080,840 (pp. 1-9).
Rochelle Ackerley, Human C-Tactile Afferents Are Tuned to the Temperature of a Skin-Stroking Caress, J. Neurosci., Feb. 19, 2014, 34(8):2879-2883.
Ryoko Takahashi, Tactile Stimulation by Repetitive Lateral Movement of Midair Ultrasound Focus, Journal of Latex Class Files, vol. 14, No. 8, Aug. 2015.
Stanley J. Bolanowski, Hairy Skin: Psychophysical Channels and Their Physiological Substrates, Somatosensory and Motor Research, vol. 11. No. 3, 1994, pp. 279-290.
Stefan G. Lechner, Hairy Sensation, Physiology 28: 142-150, 2013.
Supplemental Notice of Allowability dated Jul. 28, 2021 for U.S. Appl. No. 16/563,608 (pp. 1-2).
Supplemental Notice of Allowability dated Jul. 28, 2021 for U.S. Appl. No. 17/092,333 (pp. 1-2).
Takaaki Kamigaki, Noncontact Thermal and Vibrotactile Display Using Focused Airborne Ultrasound, EuroHaptics 2020, LNCS 12272, pp. 271-278, 2020.
Tomoo Kamakura, Acoustic streaming induced in focused Gaussian beams, J. Acoust. Soc. Am. 97 (5), Pt. 1, May 1995 p. 2740.
Uta Sailer, How Sensory and Affective Attributes Describe Touch Targeting C-Tactile Fibers, Experimental Psychology (2020), 67(4), 224-236.
EPO Communication for Application 18 811 906.9 (dated Nov. 29, 2021) (15 pages).
EPO Examination Report 17 748 4656.4 (dated Jan. 12, 2021) (16 pages).
Gareth Young et al.. Designing Mid-Air Haptic Gesture Controlled User Interfaces for Cars, PACM on Human-Computer Interactions, Jun. 2020 (24 pages).
ISR and WO for PCT/GB2020/052829 (Feb. 10, 2021) (15 pages).
ISR and WO for PCT/GB2021/052415 (Dec. 22, 2021) (16 pages).
Mohamed Yacine Tsalamlal, Non-Intrusive Haptic Interfaces: State-of-the Art Survey, HAID 2013, LNCS 7989, pp. 1-9, 2013.
Office Action (Non-Final Rejection) dated Jan. 21, 2022 for U.S. Appl. No. 17/068,834 (pp. 1-12).
Office Action (Non-Final Rejection) dated Jan. 24, 2022 for U.S. Appl. No. 16/228,767 (pp. 1-22).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Jan. 18, 2022 for U.S. Appl. No. 16/899,720 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Feb. 11, 2022 for U.S. Appl. No. 16/228,760 (pp. 1-8).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Feb. 28, 2022 for U.S. Appl. No. 17/068,825 (pp. 1-7).
Al-Mashhadany, “Inverse Kinematics Problem (IKP) of 6-DOF Manipulator by Locally Recurrent Neural Networks (LRNNs),” Management and Service Science (MASS), International Conference on Management and Service Science., IEEE, Aug. 24, 2010, 5 pages. (Year: 2010).
Guez, “Solution to the inverse kinematic problem in robotics by neural networks ” In Proceedings of the 2nd International Conference on Neural Networks, 1988. San Diego, California. (Year: 1988).
Invitatioin to Pay Additional Fees for PCT/GB2022/051821 (dated Oct. 20, 2022).
Mahboob, “Atlincial neural networks for learning inverse kinematics of humanoid robot arms.” MS Thesis, 2015. (Year: 2015).
Office Action (Ex Parte Quayle Action) dated Jan. 6, 2023 for U.S. Appl. No. 17/195,795 (pp. 1-6).
Office Action (Final Rejection) dated Jan. 9, 2023 for U.S. Appl. No. 16/144,474 (pp. 1-16).
Office Action (Final Rejection) dated Nov. 18, 2022 for U.S. Appl. No. 16/228,767 (pp. 1-27).
Office Action (Final Rejection) dated Nov. 18, 2022 for U.S. Appl. No. 17/068,831 (pp. 1-9).
Office Action (Final Rejection) dated Dec. 8, 2022 for U.S. Appl. No. 16/229,091 (pp. 1-9).
Office Action (Final Rejection) dated Dec. 15, 2022 for U.S. Appl. No. 16/843,281 (pp. 1-25).
Office Action (Non-Final Rejection) dated Oct. 17, 2022 for U.S. Appl. No. 17/807,730 (pp. 1-8).
Office Action (Non-Final Rejection) dated Nov. 9, 2022 for U.S. Appl. No. 17/454,823 (pp. 1-16).
Office Action (Non-Final Rejection) dated Nov. 16, 2022 for U.S. Appl. No. 17/692,852 (pp. 1-4).
Office Action (Non-Final Rejection) dated Dec. 6, 2022 for U.S. Appl. No. 17/409,783 (pp. 1-7).
Office Action (Non-Final Rejection) dated Dec. 22, 2022 for U.S. Appl. No. 17/457,663 (pp. 1-20).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Oct. 31, 2022 for U.S. Appl. No. 17/068,834 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Oct. 31, 2022 for U.S. Appl. No. 17/176,899 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Nov. 1, 2022 for U.S. Appl. No. 16/404,660 (pp. 1-5).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Nov. 2, 2022 for U.S. Appl. No. 16/734,479 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Nov. 10, 2022 for U.S. Appl. No. 16/198,959 (pp. 1-2).
Office Action (Notice of Allowance and Fees Due (PTOL-85)) dated Nov. 16, 2022 for U.S. Appl. No. 16/404,660 (pp. 1-2).
Related Publications (1)
Number Date Country
20210201884 A1 Jul 2021 US
Provisional Applications (2)
Number Date Country
62954171 Dec 2019 US
62953577 Dec 2019 US