Calibration and detection techniques in haptic systems

Information

  • Patent Grant
  • 11189140
  • Patent Number
    11,189,140
  • Date Filed
    Tuesday, January 3, 2017
    7 years ago
  • Date Issued
    Tuesday, November 30, 2021
    2 years ago
  • CPC
  • Field of Search
    • CPC
    • G01S15/06
    • G01S7/4817
    • G01S17/931
    • G01S13/931
    • G01S17/42
    • G01S17/894
    • G01S17/89
    • G01S7/4816
    • G01S7/4865
    • G01S17/10
    • G01S19/42
    • G01S7/4814
    • G01S7/4815
    • G01S13/56
    • G01S13/66
    • G01S13/88
    • G01S17/08
    • G01S19/40
    • G01S19/47
    • G01S5/18
    • G01S7/03
    • G01S7/497
    • G01S13/04
    • G01S13/34
    • G01S13/75
    • G01S13/867
    • G01S17/74
    • G01S17/86
    • G01S19/05
    • G01S19/13
    • G01S19/235
    • G01S19/39
    • G01S19/46
    • G01S19/48
    • G01S19/51
    • G01S5/0284
    • G01S7/025
    • G01S7/292
    • G01S7/40
    • G01S7/4026
    • G01S7/415
    • G01S7/4808
    • G01S7/4811
    • G01S7/4813
    • G01S7/484
    • G01S7/4863
    • G01S7/499
    • G01S11/10
    • G01S13/003
    • G01S13/20
    • G01S13/24
    • G01S13/343
    • G01S13/42
    • G01S13/582
    • G01S13/584
    • G01S13/589
    • G01S13/62
    • G01S13/751
    • G01S13/753
    • G01S13/758
    • G01S13/767
    • G01S13/825
    • G01S13/84
    • G01S13/87
    • G01S13/887
    • G01S13/89
    • G01S13/91
    • G01S15/04
    • G01S15/66
    • G01S15/876
    • G01S15/88
    • G01S15/89
    • G01S15/8977
    • G01S15/931
    • G01S15/96
    • G01S17/04
    • G01S17/06
    • G01S17/18
    • G01S17/26
    • G01S17/48
    • G01S17/50
    • G01S17/58
    • G01S17/66
    • G01S17/87
    • G01S17/88
    • G01S19/01
    • G01S19/07
    • G01S19/11
    • G01S19/14
    • G01S19/19
    • G01S19/252
    • G01S19/32
    • G01S19/33
    • G01S19/34
    • G01S19/36
    • G01S19/37
    • G01S19/393
    • G01S19/41
    • G01S19/421
    • G01S19/43
    • G01S19/44
    • G01S1/0426
    • G01S1/0428
    • G01S1/68
    • G01S1/70
    • G01S1/7038
    • G01S2013/932
    • G01S2013/9329
    • G01S2205/002
    • G01S3/7861
    • G01S3/801
    • G01S3/802
    • G01S3/808
    • G01S3/8083
    • G01S5/0027
    • G01S5/02
    • G01S5/0247
    • G01S5/0257
    • G01S5/14
    • G01S5/30
    • G01S7/003
    • G01S7/021
    • G01S7/032
    • G01S7/064
    • G01S7/34
    • G01S7/352
    • G01S7/356
    • G01S7/4021
    • G01S7/403
    • G01S7/4034
    • G01S7/4039
    • G01S7/41
    • G01S7/411
    • G01S7/412
    • G01S7/417
    • G01S7/481
    • G01S7/4812
    • G01S7/4818
    • G01S7/483
    • G01S7/4915
    • G01S7/4917
    • G01S7/4918
    • G01S7/4972
    • G01S7/52003
    • G01S7/539
    • H04W4/029
    • H04W4/40
    • H04W4/021
    • H04W4/80
    • H04W4/024
    • H04W4/33
    • H04W72/0446
    • H04W12/06
    • H04W12/08
    • H04W12/122
    • H04W12/128
    • H04W12/35
    • H04W12/40
    • H04W12/63
    • H04W16/24
    • H04W24/04
    • H04W24/10
    • H04W4/02
    • H04W4/025
    • H04W4/027
    • H04W4/30
    • H04W4/44
    • H04W4/50
    • H04W4/90
    • H04W52/16
    • H04W56/001
    • H04W64/003
    • H04W72/02
    • H04W72/044
    • H04W72/048
    • H04W76/11
    • H04W88/06
    • H04W8/22
    • H04W92/18
    • H04B17/318
    • H04B11/00
    • H04B17/102
    • H04B17/103
    • H04B17/27
    • H04B1/7073
    • H04B7/0413
    • H04B7/0417
    • H04B7/0669
    • H04B7/0697
    • H04B7/15
    • B60W30/0956
    • B60W10/20
    • B60W2420/52
    • B60W2420/54
    • B60W2556/60
    • B60W30/09
    • B60W40/10
    • B60W60/001
    • B60W10/04
    • B60W10/18
    • B60W2300/365
    • B60W2300/367
    • B60W2300/405
    • B60W2420/42
    • B60W2520/06
    • B60W2530/201
    • B60W2540/00
    • B60W2540/215
    • B60W2552/30
    • B60W2554/404
    • B60W2554/801
    • B60W2554/802
    • B60W2710/20
    • B60W2720/10
    • B60W2720/12
    • B60W30/0953
    • B60W30/143
    • B60W40/08
    • B60W50/04
    • B60W50/06
    • B60W60/00253
    • B60W60/00256
    • B60W60/005
    • G02B2027/0138
    • G02B2027/0178
    • G02B2027/0187
    • G02B26/105
    • G02B27/0093
    • G02B27/017
    • G02B2027/014
    • G02B2027/0141
    • G02B26/0833
    • G02B26/0841
    • G02B26/0858
    • G02B26/101
    • G02B26/122
    • G02B26/123
    • G02B26/125
    • G02B27/0172
    • G02B27/0179
    • G02B27/0972
    • G02B27/30
    • G02B5/124
    • G02B5/128
    • G02B5/13
    • G02B6/0053
    • G02B6/262
  • International Classifications
    • G08B6/00
    • G01S15/06
    • G06F3/01
    • G10K11/34
    • G06F3/043
    • Term Extension
      303
Abstract
Described is a system for producing an acoustic field from a plurality of ultrasonic transducer arrays, each of which has known relative positions and orientations. The acoustic field comprises a carrier wave and a modulated wave. The carrier wave has a plurality of modulated focal areas. A plurality of control points having a known spatial relationship relative to at least one of the plurality of ultrasonic transducer arrays is used. The plurality of ultrasonic transducer arrays are calibrated by using the relative position of each of the plurality of ultrasonic transducer arrays.
Description
FIELD OF THE DISCLOSURE

The present disclosure relates generally to improved calibration and detection techniques in haptic-based systems.


BACKGROUND

It is known to use a continuous distribution of sound energy, which will be referred to herein as an “acoustic field”, for a range of applications, including haptic feedback.


It is known to control an acoustic field by defining one or more control points in a space within which the acoustic field may be specified. Each control point is assigned an amplitude value equating to a desired amplitude of the acoustic field at the control point. Transducers are then controlled to create an acoustic field exhibiting the desired amplitude at each of the control points. When human skin interacts with the acoustic field, vibrations of the skin are interpreted by mechanoreceptors being excited and sending signals to the brain via the nervous system.


When used in mid-air, haptic technology works by focusing sound at an ultrasonic carrier frequency to a point or points in the space above the transducers. Then this is modulated by a waveform including low frequency content that generates the haptic sensation.


The behavior of ultrasonic acoustics is a well understood approach to range finding and positioning. Accordingly, due to the fact that the hardware requirement for ultrasonic haptic feedback significantly overlaps with that of ultrasonic positioning systems, the ability to build arrays with positioning capabilities in haptic systems is advantageous.





BRIEF DESCRIPTION OF THE FIGURES

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, and serve to further illustrate embodiments of concepts that include the claimed invention, and explain various principles and advantages of those embodiments.



FIG. 1 shows a first simulation of a set of ultrasonic transducers emitting output at a monochromatic ultrasonic carrier frequency.



FIG. 2 shows a second simulation of a set of ultrasonic transducers emitting output at a frequency-modulated ultrasonic carrier frequency.





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. Background

A method of producing an acoustic field using an array of transducers having known relative positions and orientations may include


defining a plurality of control points which each have a known spatial relationship relative to the array of transducers;


assigning an amplitude to each control point;


computing a matrix containing elements which represent, for each of the control points, the effect that producing a modeled acoustic field having the assigned amplitude with a particular phase at the control point has on the consequential amplitude and phase of the modeled acoustic field at the other control points;


determining eigenvectors of the matrix, each eigenvector representing a set of phases and relative amplitudes of the modeled acoustic field at the control points;


selecting one of the sets and operating the transducer array to cause one or more of the transducers to output an acoustic wave each having an initial amplitude and phase such that the phases and amplitudes of the resultant acoustic field at the control points correspond to the phases and relative amplitudes of the selected set.


A control point is a marker at a particular location. The distance between adjacent control points should be sufficient to enable the sound waves of the acoustic field to phase shift from one of the control points to match the next control point. In some embodiments the separation distance may be equal to the wavelength of the sound waves of the acoustic field.


Thus, an aspect of the system includes formulating an eigenproblem which can be solved to find valid phases at the control points. Use of an eigenproblem in the embodiments of the invention results in a faster and more predictable solution time in comparison with known methods, which in turn means that a higher number of control points can be supported, and may enable real-time updating of the control points. The eigenproblem does not in itself change the solution time but aids the solution through the modification of the phase relationships between control points. A faster and more predictable solution time also means that an acoustic field of larger volume can be controlled in comparison to known methods.


In embodiments of the invention a transducer array comprises one or more transducers in any suitable configuration; for example, one or more two dimensional arrays arranged in parallel.


The modelled acoustic field which has the assigned amplitude and a particular phase at a control point may be modelled as being produced by a virtual transducer directly below the control point. In some embodiments the virtual transducer may be in the in the plane of the real transducer array. However, the skilled person will appreciate the acoustic field may be modelled as being produced by other arrangements of virtual transducers, that is one or more virtual transducers which may be positioned directly below the control point or may have a different spatial relationship to the control point may be used to produce the modelled acoustic field. The use of virtual transducers enables a lookup table to be pre-computed. Preferably, the virtual transducers match the transducers of the transducer array.


The method may include the step of calculating eigenvalues of the matrix. The eigenvalues represent scaling factors, some of which will be relatively high and some of which will be relatively low, in relation to each other. The method may comprise selecting a set of phases and relative amplitudes with a relatively high corresponding eigenvalue as the selected set. Preferably, the method may comprise selecting the set of phases and relative amplitudes with the highest corresponding eigenvalue as the selected set.


The eigenvalues define how the corresponding eigenvectors scale when they are transformed by the matrix. That is, the eigenvalues represent how much the relative amplitudes of the acoustic field at the control points will scale up once the indirect contributions to the amplitude at each control point caused by producing an assigned amplitude at the other control points is taken into account. Therefore, finding a large eigenvalue indicates a corresponding set of relative amplitudes and phases that make use of a large amount of constructive interference. Choosing a set of relative amplitudes and phases with a corresponding eigenvalue which is relatively high, taking into account the relative values of all the eigenvalues of the matrix, therefore has an advantage over choosing a relatively low eigenvalue, as it makes more efficient use of the power output by the transducers.


The method may include computing the effect of producing the assigned amplitude at one of the control points on the amplitude and phases at each of the other control points using a look-up function which defines how the amplitude and phase of the acoustic waves varies spatially due to attenuation and propagation. The look-up function may take into account one or both of two sources of amplitude and phase variation. Firstly, attenuation of the amplitude of acoustic waves output by a transducer, which increases with distance from the transducer, and secondly, the changes in phase that occur as the acoustic waves propagate through space.


If such a look-up function is used, the spatial variation of the phase of the sound waves due to attenuation and propagation only needs to be computed once for a particular transducer array, which decreases the time needed to model the acoustic field and the time needed to calculate the initial amplitude and phases of the transducers that will produce the phases and amplitudes of the resultant acoustic field.


The positions of the control points may be chosen to define parts of a virtual three-dimensional shape which occupies a volume in the acoustic field. For example, the control points may lie on the edges of the shape or adjacent to the edges of the shape or within the volume of the shape. The control points may define the whole of the shape, or more preferably a part of the shape. For example the control points may define a shape to be felt by a user as part of a haptic feedback system of which only the part of the shape with which the user is interacting may need to be defined, or the shape may be the shape of a product having points of interest on which an acoustic radiation force may be focused for manufacturing applications such as drying glue.


Providing a group of control points at which the acoustic field has a relatively high amplitude and a group of control points at which the acoustic field has a relatively low amplitude to provide a gradient in amplitude of the acoustic field at the edge of a virtual shape provides an advantage in haptic feedback applications since it produces a more detectable difference in amplitude of the acoustic field, rendering the edge of the virtual shape more easily detectable by a user. Also, in the case of haptic feedback, the relatively low amplitude control points can ensure that the parts of a user's hand that are not in contact with the shape cannot feel residual ultrasound surrounding the shape. In the absence of the low amplitude control points, the ultrasound at those points is not controlled and so there may be some constructive areas that the hand can feel.


At least some of the control points may be positioned at points where an object intersects with the virtual shape. At least some of the control points may be positioned adjacent to the points of intersection.


Positioning the control points at points in the region of where an object, for example a user's hand, intersects the virtual shape provides the advantage that the acoustic field only needs to be controlled at points on the virtual shape with which the object is interacting, which enables higher amplitudes to be produced at those control points. The points where the object intersects with the virtual shape may be monitored in real time by an object tracker, and control points may be positioned at different points in the acoustic field in response to the object position.


II. Multiple Array Configurations

In the event of multiple arrays being used in a single setup, there are a number of required calibration steps that may be automated effectively using positioning capabilities. Arrays will often be erroneously offset in time or space due to manufacturing imprecision or system clock differences. By correlating the output of an array of ultrasonic transducers employed as sources, which has been provided as input to sensors on another and given that the input signals are known, using a time difference of arrival (TDOA) algorithm the lag in time and space can be determined. TDOA is an electronic technique used in direction finding and navigation, in which the time of arrival of a specific signal, at physically separate receiving stations with precisely synchronized time references, are calculated This can be also used to provide an alternative method of compensation for time offsets, which could for example be caused by clock drift.


Determining differences in time and space may be used to initialize newly connected devices in a dynamic way, allowing them to add to the existing volumetric acoustic field in space which may be shared. Alternatively, if the devices are freely movable or can move while constrained by a hinge, for example, this movement can be automatically detected and compensated for as the movement happens, providing no loss of feedback even when multiple arrays are in motion relative to one another. This may also be used to synchronize arrays to a common space, which includes an input sensor so that they can act as a single interactive volume.


III. Chirping Using Focus Points

The ultrasonic haptic feedback technology works purely on the monochromatic behavior of phase and amplitude from each transducer. Traditional sonar as well as the echolocation used by animals often contains frequency-modulated content to pick out individual reflections from objects encountered in the scene. The production of the acoustic haptic feedback relies on constant frequency output. For a given focus point each part of the amplitude modulated wave can be delayed such that the waves arrive at the focus point simultaneously. In order to preserve the haptic feedback the waves generally should be monochromatic, but this requirement can be potentially relaxed. The waves only need to be monochromatic at the point in time and space where they interact to generate a focus point. This suggests that the carrier frequency of the waves may be frequency modulated in time, as long as at the point they reach the focus, the carrier frequency is the same. Thus if the carrier frequency is modulated and delayed in the same way as the amplitude modulated content, then focusing may be achieved while continuously modifying the carrier frequency. At this point the carrier frequency may be modified into a chirp, or a range of frequencies that can be used to, given a set of microphones, locate objects in the acoustic field without changing the haptic effect of the transducer array. (A chirp is a signal in which the frequency increases (up-chirp) or decreases (down-chirp) with time.)


Shown in FIG. 1 is a first simulation 10 of a set of ultrasonic transducers 13, emitting output at a monochromatic ultrasonic carrier frequency 12 that has been focused to a point 11. Shown in FIG. 2 is a second simulation 20 of ultrasonic transducers 23 that are emitting a frequency-modulated ultrasonic carrier signal 22 that remains focused at the same point 21, due to the frequency modulation being offset in time such that the focusing remains functioning.


IV. Virtual Acoustic Point Sources

When generating the haptic effects, a focused control point in space is modulated with a low frequency vibration, usually consisting of one or more frequencies ranging from 0 Hz up to 500 Hz order to provide haptic feedback in the case of an amplitude modulated point. For other haptic techniques this may not be necessary and be replaced by some form of spatio-temporal modulation. Further, processed audio signals with components ranging from 100 Hz up to 20 kHz may be amplitude modulated on top of the points to provide the equivalent of parametric audio.


Modulating near-ultrasonic and ultrasonic tracking signals into each control point to create further virtual acoustic sources in mid-air, in the same position as the control points can be achieved. These sources would be reflected from objects in the field allowing existing sonar, range-finding and acoustic imaging techniques to function by applying a filter to received signals such that only the tracking signals are recovered. These tracking signals may be implemented in practice as modulation by amplitude, phase, frequency or quadrature, so long as this achieves a resulting modulation that substantially fits within bands of acoustic frequencies above the range of human hearing. Alternatively, the tracking signal may be audible, but designed to be unobtrusive in audible frequencies, which could be achieved by designing it to have similar properties to a random noise function. The tracking waveform associated with each control point should be distinct in frequency components and/or a signal made up of suitably orthogonal functions so that it may be picked out of the mix of frequencies expressed at the control point. Using further frequencies on top of each control point allows the tracking to continue to function even during periods of device activity.


A second active scan mode is also possible, which may be also used when the haptics is not enabled, which uses low power control points modulated only with the tracking signal. In this way, the device can continue to explore space, collecting imaging and ranging data in order to detect and pinpoint potential interactions. This active scan mode may also be used alongside haptics to create tracking control points separately to, but alongside, haptic control points.


A further advantage to using a virtual source to produce the tracking signal through a control point is that the system becomes robust to obscuring obstacles. In the case that output from a selection of the physical source transducers is blocked, the remaining transducers will remain contributing to the control point and thus the virtual source. The control point may also undergo movement allowing obstacles to be avoided.


The device may also be configured to ensure that the phases of the frequencies produced in the tracking signal are replicated correctly at the control point to reproduce the virtual source with enough fidelity. Also necessary to determine the time of flight is to monitor the delta time from emission to the moment of focussing in order to correctly find when the tracking signal is ‘emitted’ from the virtual source in the control point. Time of flight (TOF) describes a variety of methods that measure the time that it takes for an object, particle or acoustic, electromagnetic or other wave to travel a distance through a medium. This measurement can be used for a time standard (such as an atomic fountain), as a way to measure velocity or path length through a given medium, or as a way to learn about the particle or medium (such as composition or flow rate). The traveling object may be detected directly (e.g., ion detector in mass spectrometry) or indirectly (e.g., light scattered from an object in laser doppler velocimetry). From that point, the virtual source position, timings and emitted waves are known, and so traditional techniques for determining time of flight from the single virtual source to one or many receivers may be used to triangulate reflections and image the space.


V. CONCLUSION

The various features of the foregoing embodiments may be selected and combined to produce numerous variations of improved haptic systems.


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.


The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued.


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, it can be seen that 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. A method comprising: i) producing an acoustic field from a plurality of ultrasonic transducer arrays, each of which has known relative positions and orientations, wherein the acoustic field comprises a carrier wave and a modulated wave, wherein the carrier wave has a plurality of modulated focal areas and wherein the carrier wave is used to locate an object within the acoustic field;ii) defining a plurality of mid-air control points wherein each of the plurality of mid-air control points has a known spatial relationship relative to at least one of the plurality of ultrasonic transducer arrays;iii) for at least one of the plurality of mid-air control points, replicating phases of frequencies produced in the carrier wave and creating a haptic effect by amplitude-modulating the mid-air control point with a signal comprised of at least one frequency less than 20 KHz.
  • 2. The method as in claim 1, wherein all frequencies are less than 20 KHz within the signal comprised of at least one frequency less than 20 KHz signal.
  • 3. The method of claim 1, wherein the modulated wave uses amplitude modulation to produce parametric audio at a frequency audible to humans at the at least one of the plurality of mid-air control points.
  • 4. The method of claim 1, wherein the object has object properties and the carrier wave is used to measure the object properties.
  • 5. The method of claim 4, wherein the measurement of the object properties uses phases of the frequency of the carrier wave.
  • 6. The method of claim 5, wherein the measurement of the object properties also uses a time-of-flight determination.
  • 7. A method comprising: i) producing an acoustic field from a plurality of ultrasonic transducer arrays, each of which has known relative positions and orientations, wherein the acoustic field comprises a carrier wave and a modulated wave, wherein the carrier wave has a plurality of modulated focal areas and the carrier wave is used to locate an object within the acoustic field;ii) defining a plurality of mid-air control points wherein each of the plurality of mid-air control points has a known spatial relationship relative to at least one of the plurality of ultrasonic transducer arrays;iii) for at least one of the plurality of mid-air control points, replicating phases of frequencies produced in the carrier wave and creating a haptic effect using amplitude-modulation the mid-air control point with a signal comprised of at least one frequency less than 20 KHz.
  • 8. The method of claim 7, wherein the modulation is spatio-temporal modulation.
  • 9. The method of claim 7, wherein the object has object properties and the carrier wave is used to measure the object properties.
  • 10. The method of claim 9, wherein the measurement of the object properties uses phases of the frequency of the carrier wave.
  • 11. The method of claim 10, wherein the measurement of the object properties also uses a time-of-flight determination.
RELATED APPLICATION

This application claims the benefit of the following two U.S. Provisional Patent Applications, all of which are incorporated by reference in their entirety: 1. Ser. No. 62/275,195, filed on Jan. 5, 2016; and 2. Ser. No. 62/438,587, filed on Dec. 23, 2016.

US Referenced Citations (182)
Number Name Date Kind
4218921 Oran et al. Aug 1980 A
4771205 Mequio Sep 1988 A
4881212 Takeuchi Nov 1989 A
5226000 Moses Jul 1993 A
5329682 Thurn Jul 1994 A
5426388 Flora et al. Jun 1995 A
5477736 Lorraine Dec 1995 A
5511296 Dias Apr 1996 A
6029518 Oeftering Feb 2000 A
6193936 Gardner Feb 2001 B1
6503204 Sumanaweera et al. Jan 2003 B1
6647359 Verplank Nov 2003 B1
6771294 Pulli Aug 2004 B1
6772490 Toda Aug 2004 B2
6800987 Toda Oct 2004 B2
7109789 Spencer Sep 2006 B2
7182726 Williams Feb 2007 B2
7225404 Zilles et al. May 2007 B1
7487662 Schabron Feb 2009 B2
7577260 Hooley Aug 2009 B1
RE42192 Schabron Mar 2011 E
8000481 Nishikawa Aug 2011 B2
8123502 Blakey Feb 2012 B2
8269168 Axelrod Sep 2012 B1
8279193 Birnbaum Oct 2012 B1
8607922 Werner Dec 2013 B1
8833510 Koh Sep 2014 B2
8884927 Cheatham, III Nov 2014 B1
9208664 Peters et al. Dec 2015 B1
9267735 Funayama Feb 2016 B2
9421291 Robert Aug 2016 B2
9612658 Subramanian Apr 2017 B2
9662680 Yamamoto May 2017 B2
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
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
10469973 Hayashi Nov 2019 B2
10569300 Hoshi Feb 2020 B2
20010033124 Norris Oct 2001 A1
20020149570 Knowles Oct 2002 A1
20030024317 Miller Feb 2003 A1
20030144032 Brunner et al. Jul 2003 A1
20030182647 Radeskog Sep 2003 A1
20040005715 Schabron Jan 2004 A1
20040014434 Haardt Jan 2004 A1
20040091119 Duraiswami et al. May 2004 A1
20040226378 Oda May 2004 A1
20040210158 Organ Oct 2004 A1
20040264707 Yang Dec 2004 A1
20050052714 Klug Mar 2005 A1
20050212760 Marvit Sep 2005 A1
20060085049 Cory et al. Apr 2006 A1
20060090955 Cardas May 2006 A1
20060091301 Trisnadi May 2006 A1
20070036492 Lee Feb 2007 A1
20070177681 Choi et al. Aug 2007 A1
20070263741 Erving Nov 2007 A1
20080012647 Risbo et al. Jan 2008 A1
20080084789 Altman Apr 2008 A1
20080130906 Goldstein Jun 2008 A1
20080273723 Hartung et al. Nov 2008 A1
20080300055 Lutnick Dec 2008 A1
20090093724 Pernot et al. 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
20100030076 Vortman Feb 2010 A1
20100044120 Richter Feb 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
20100321216 Jonsson Dec 2010 A1
20110006888 Bae Jan 2011 A1
20110010958 Clark Jan 2011 A1
20110051554 Varray et al. Mar 2011 A1
20110066032 Vitek Mar 2011 A1
20110199342 Vartanian et al. 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 et al. Sep 2012 A1
20120236689 Brown Sep 2012 A1
20120249409 Toney Oct 2012 A1
20120249474 Pratt Oct 2012 A1
20120299853 Dagar Nov 2012 A1
20120307649 Park et al. Dec 2012 A1
20120315605 Cho Dec 2012 A1
20130035582 Radulescu Feb 2013 A1
20130094678 Scholte Apr 2013 A1
20130100008 Marti Apr 2013 A1
20130101141 McElveen Apr 2013 A1
20130173658 Adelman Jul 2013 A1
20140027201 Islam Jan 2014 A1
20140104274 Hilliges Apr 2014 A1
20140139071 Yamamoto May 2014 A1
20140168091 Jones Jun 2014 A1
20140204002 Bennet Jul 2014 A1
20140265572 Siedenburg Sep 2014 A1
20150002477 Cheatham, III Jan 2015 A1
20150005039 Liu Jan 2015 A1
20150006645 Oh Jan 2015 A1
20150007025 Sassi Jan 2015 A1
20150066445 Harris et al. Mar 2015 A1
20150070147 Cruz-Hernandez et al. Mar 2015 A1
20150070245 Han et al. Mar 2015 A1
20150078136 Sun Mar 2015 A1
20150081110 Houston Mar 2015 A1
20150110310 Minnaar Apr 2015 A1
20150013023 Harris et al. May 2015 A1
20150130323 Harris May 2015 A1
20150168205 Lee Jun 2015 A1
20150192995 Subramanian et al. Jul 2015 A1
20150220199 Wang Aug 2015 A1
20150226537 Schorre Aug 2015 A1
20150226831 Nakamura et al. Aug 2015 A1
20150248787 Abovitz Sep 2015 A1
20150258431 Stafford Sep 2015 A1
20150277610 Kim Oct 2015 A1
20150304789 Babyoff Oct 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 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 et al. Jun 2016 A1
20160242724 Lavallee Aug 2016 A1
20160246374 Carter Aug 2016 A1
20160249150 Carter et al. Aug 2016 A1
20160291716 Boser Oct 2016 A1
20160306423 Uttermann Oct 2016 A1
20160320843 Long Nov 2016 A1
20160339132 Cosman Nov 2016 A1
20170002839 Bukland Jan 2017 A1
20170004819 Ochiai Jan 2017 A1
20170018171 Carter 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
20170181725 Han Jun 2017 A1
20170193768 Long Jul 2017 A1
20170193823 Jiang Jul 2017 A1
20170211022 Reinke Jul 2017 A1
20180039333 Carter Feb 2018 A1
20180074580 Hardee Mar 2018 A1
20180081439 Daniels Mar 2018 A1
20180139557 Ochiai May 2018 A1
20180151035 Maalouf May 2018 A1
20180166063 Long Jun 2018 A1
20180304310 Long Oct 2018 A1
20180350339 Macours Dec 2018 A1
20180361174 Radulescu Dec 2018 A1
20190038496 Levesque Feb 2019 A1
20190091565 Nelson Mar 2019 A1
20190175077 Zhang Jun 2019 A1
20190196578 Iodice Jun 2019 A1
20190197840 Kappus Jun 2019 A1
20190197842 Long Jun 2019 A1
20190235628 Lacroix Aug 2019 A1
20200080776 Kappus Mar 2020 A1
Foreign Referenced Citations (53)
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
309003 Mar 1989 EP
1875081 Jan 2008 EP
1911530 Apr 2008 EP
2271129 Jan 2011 EP
1461598 Apr 2014 EP
3207817 Aug 2017 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
201248378 Mar 2012 JP
2016035646 Mar 2016 JP
20120065779 Jun 2012 KR
20130055972 May 2013 KR
20160008280 Jan 2016 KR
199118486 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
WO-2014181084 Nov 2014 WO
2015006467 Jan 2015 WO
2015039622 Mar 2015 WO
2015127335 Aug 2015 WO
2016007920 Jan 2016 WO
2016095033 Jun 2016 WO
2016132141 Aug 2016 WO
2016132144 Aug 2016 WO
2016132144 Aug 2016 WO
2016137675 Sep 2016 WO
2016162058 Oct 2016 WO
2017172006 Oct 2017 WO
2020049321 Mar 2020 WO
Non-Patent Literature Citations (201)
Entry
Search Report for PCT/GB2017/050012 dated Jun. 8, 2017.
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).
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.
Search report for PCT/GB2018/051061 dated Sep. 26, 2018 (17 pages).
EPO Office Action for EP16708440.9 dated Sep. 12, 2018 (7 pages).
Search report for PCT/US2018/028966 dated Jul. 13, 2018 (43 pages).
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).
Ex Parte Quayle Action dated Dec. 28, 2018 for U.S. Appl. No. 15/966,213 (pp. 1-7).
International Preliminary Report on Patentability and Written Opinion issued in corresponding PCT/US2017/035009, dated Dec. 4, 2018, 8 pages.
Notice of Allowance dated Feb. 7, 2019 for U.S. Appl. No. 15/851,214 (pp. 1-7).
Office Action dated Feb. 20, 2019 for U.S. Appl. No. 15/623,516 (pp. 1-8).
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.
Gokturk, et al., “A Time-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.
Li, Larry, “Time-of-Flight Camera—An Introduction,” Texas Instruments, Technical White Paper, SLOA190B—Jan. 2014 Revised May 2014, 10 pages.
Zeng, Wejun, “Microsoft Kinect Sensor and Its Effect,” IEEE Multimedia, Apr.-Jun. 2012, 7 pages.
Kolb, et al., “Time-of-Flight Cameras in Computer Graphics,” Computer Graphics forum, vol. 29 (2010), No. 1, pp. 141-159.
Iddan, et al., “3D Imaging in the Studio (and Elsewhwere . . . ” Apr. 2001, 3DV systems Ltd., Yokneam, Isreal, www.3dvsystems.com.il, 9 pages.
Krim, et al., “Two Decades of Array Signal Processing Research—The Parametric Approach”, IEEE Signal Processing Magazine, Jul. 1996, pp. 67-94.
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.
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.
Colgan, A., “How Does the Leap Motion Controller Work?” Leap Motion, Aug. 9, 2014, 10 pages.
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.
“Welcome to Project Soli” video, https://atap.google.com/#project-soli Accessed Nov. 30, 2018, 2 pages.
Sixth Sense webpage, http://www.pranavmistry.com/projects/sixthsense/ Accessed Nov. 30, 2018, 7 pages.
Damn Geeky, “Virtual projection keyboard technology with haptic feedback on palm of your hand,” May 30, 2013, 4 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.
PCT Partial International Search Report for Application No. PCT/GB2018/053404 dated Feb. 25, 2019, 13 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.
M. Toda, New Type of Matching Layer for Air-Coupled Ultrasonic Transducers, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 49, No. 7, Jul. 2002.
E. Bok, Metasurface for Water-to-Air Sound Transmission, Physical Review Letters 120, 044302 (2018).
Search Report for PCT/GB/2017/053880 dated Mar. 21, 2018.
Search Report for PCT/GB/2017/053729 dated Mar. 15, 2018.
M. A.B. Andrade, Matrix method for acoustic levitation simulation, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 58 n. 8 (2011).
M. Barmatz, Acoustic radiation potential on a sphere in plane, cylindrical, and spherical standing wave of fields, J. Acoustical Socirty, 77 No. 3 (1985).
Yang Ling, Phase-coded approach for controllable generation of acoustical vortices, J. Applied Physics 113, No. 15 (2013).
K. Jia, Dynamic properties of micro-particles in ultrasonic transportation using phase-controlled standing waves, J. Applied Physics 116, n. 16 (2014).
Xin Cheng et al., Computation of the Acoustic Radiation Force on a Sphere Based on the 3-D FDTD Method, IEEE Symposium 2010.
Pompei, F.J. (2002), “Sound from Ultrasound: The Parametric Array as an Audible Sound Source”, Massachusetts Institute of Technology.
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.
Hoshi, T. et al. (2010), “Noncontrast Tactile Display Based on Radiation Pressure of Airbourne Ultrasound”, IEEE Transactions on Haptics, vol. 3, No. 3.
Yoshino, K. and Shinoda, H. (2013), “Visio Acoustic Screen for Contactless Touch Interface with Tactile Sensation”, University of Tokyo.
Kamakura, T. and Aoki, K (2006) “A Highly Directional Audio System using a Parametric Array in Air” WESPAC IX 2006.
Alexander, J. et al. (2011), “Adding Haptic Feedback to Mobile TV”.
Carter, T. et al. (2013) “Ultrahaptics: Multi-point Mid-Air Haptic Feedback for Touch Surfaces” UIST.
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.
Search Report for GB1308274.8 dated Nov. 11, 2013.
Search Report for PCT/GB2014/051319 dated Jul. 28, 2014.
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.
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.
E.S. Ebbini et al. (1991), A spherical-section ultrasound phased array applicator for deep localized hyperthermia, Biomedical Engineering, IEEE Transactions on (vol. 38 Issue: 7), pp. 634-643.
Iwamoto et al. (2006), Two-dimensional Scanning Tactile Display using Ultrasonic Radiation Pressure, Symposium of Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 57-61.
Iwamoto et al. (2008), Non-contact Method for Producing Tactile Sensation Using Airborne Ultrasound, EuroHaptics, pp. 504-513.
Search report for PCT/GB2015/052578 dated Oct. 26, 2015.
IPRP for PCT/GB2014/051319 dated Nov. 10, 2015.
Search Report for GB1415923.0 dated Mar. 11, 2015.
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).
Obrist et al., Talking about Tactile Experiences, CHI 2013, Apr. 27-May 2, 2013.
Long et al. Rendering Volumetric Haptic Shapes in Mid-Air using Ultrasound, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), vol. 33, No. 6, Article 181.
Freeman et al., Tactile Feedback for Above-Device Gesture Interfaces: Adding Touch to Touchless Interactions ICMI'14, Nov. 12-16, 2014, Istanbul, Turkey.
Obrist et al., Emotions Mediated Through Mid-Air Haptics, CHI 2015, Apr. 18-23, 2015, Seoul, Republic of Korea.
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.
Phys.org, Touchable Hologram Becomes Reality, Aug. 6, 2009, by Lisa Zyga.
Iwamoto et al., Airborne Ultrasound Tactile Display: Supplement, The University of Tokyo 2008.
Hoshi, T., Development of Aerial-Input and Aerial-Tactile-Feedback System, IEEE World Haptics Conference 2011, p. 569-573.
EPSRC Grant summary EP/J004448/1 (2011).
Hoshi, T., Handwriting Transmission System Using Noncontact Tactile Display, IEEE Haptics Symposium 2012 pp. 399-401.
Takahashi, M. et al., Large Aperture Airborne Ultrasound Tactile Display Using Distributed Array Units, SICE Annual Conference 2010 p. 359-62.
Hoshi, T., Non-contact Tactile Sensation Synthesized by Ultrasound Transducers, Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems 2009.
Tom Nelligan and Dan Kass, Intro to Ultrasonic Phased Array.
Light, E.D., Progress in Two Dimensional Arrays for Real Time Volumetric Imaging, 1998.
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.
Hoshi, T., Touchable Holography, SIGGRAPH 2009, New Orleans, Louisiana, Aug. 3-7, 2009.
Sylvia Gebhardt, Ultrasonic Transducer Arrays for Particle Manipulation.
Marshall et al., Ultra-Tangibles: Creating Movable Tangible Objects on Interactive Tables, CHI'12, May 5-10, 2012, Austin, Texas.
Marzo et al., Holographic acoustic elements for manipulation of levitated objects, Nature Communications DOI: 10.1038/ncomms9661 (2015).
Search report and Written Opinion of ISA for PCT/GB2015/050417 dated Jul. 8, 2016.
Search report and Written Opinion of ISA for PCT/GB2015/050421 dated Jul. 8, 2016.
Martinez-Graullera et al., 2D array design based on Fermat spiral for ultrasonic imaging, Ultrasonics 50 (2010) 280-89.
Search Report for PCT/GB2017/052332 dated Oct. 10, 2017.
Corrected Notice of Allowability dated Jun. 21, 2019 for U.S. Appl. No. 15/966,213 (2 pages).
International Search Report and Written Opinion for Application No. PCT/GB2018/053739, dated Jun. 4, 2019, 16 pages.
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).
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).
International Preliminary Report on Patentability for Application No. PCT/EP2017/069569 dated Feb. 5, 2019, 11 pages.
Japanese Office Action (with English language translation) for Application No. 2017-514569, dated Mar. 31, 3019, 10 pages.
Notice of Allowance dated May 30, 2019 for U.S. Appl. No. 15/966,213 (pp. 1-9).
Office Action dated Apr. 18, 2019 for U.S. Appl. No. 16/296,127 (pp. 1-6).
Office Action dated Apr. 4, 2019 for U.S. Appl. No. 15/897,804 (pp. 1-10).
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).
International Search Report and Written Opinion for Application No. PCT/GB2019/050969, dated Jun. 13, 2019, 15 pages.
Extended European Search Report for Application No. EP19169929.7, dated Aug. 6, 2019, 7 pages.
Office Action dated Aug. 22, 2019 for U.S. Appl. No. 16/160,862 (pp. 1-5).
Office Action dated Oct. 7, 2019 for U.S. Appl. No. 15/396,851 (pp. 1-9).
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).
Corrected Notice of Allowability dated Oct. 31, 2019 for U.S. Appl. No. 15/623,516 (pp. 1-2).
Ashish Shrivastava et al., Learning from Simulated and Unsupervised Images through Adversarial Training, Jul. 19, 2017, pp. 1-16.
Canada Application 2,909,804 Office Action dated Oct. 18, 2019, 4 pages.
Christoper M. Bishop, Pattern Recognition and Machine Learning, 2006, pp. 1-758.
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.
Diederik P. Kingma et al., Adam: A Method for Stochastic Optimization, Jan. 30, 2017, pp. 1-15.
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.
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.
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 technology Oct. 2009 pp. 139-148.
Hua J, Qin H., Haptics-based dynamic implicit solid modeling, IEEE Trans Vis Comput Graph. Sep.-Oct. 2004;10(5):574-86.
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/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.
Jager et al., “Air-Coupled 40-KHZ Ultrasonic 2D-Phased Array Based on a 3D-Printed Waveguide Structure”, 2017 IEEE, 4 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.
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.
Konstantinos Bousmalis et al., Domain Separation Networks, 29th Conference on Neural Information Processing Sysgtems (NIPS 2016), Barcelona, Spain. Aug. 22, 2016, pp. 1-15.
Mahdi Rad et al., Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images, Mar. 26, 2018, pp. 1-14.
Marin, About LibHand, LibHand—A Hand 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.
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 Feb. 10, 2020, for U.S. Appl. No. 16/160,862 (pp. 1-9).
Notice of Allowance dated Jun. 17, 2020 for U.S. Appl. No. 15/210,661 (pp. 1-9).
Notice of Allowance in U.S. Appl. No. 15/210,661 dated Jun. 17, 2020 (22 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. 29, 2020 for U.S. Appl. No. 16/374,301 (pp. 1-18).
Office Action dated Dec. 11, 2019 for U.S. Appl. No. 15/959,266 (pp. 1-15).
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 Mar. 20, 2020 for U.S. Appl. No. 15/210,661 (pp. 1-10).
Office Action dated May 18, 2020 for U.S. Appl. No. 15/960,113 (pp. 1-21).
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 1 BJ, UK; 25 pages.
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).
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 for PCT/GB2015/052507 dated Mar. 11, 2020 (19 pages).
Search report for PCT/GB2015/052916 dated Feb. 26, 2020 (18 pages).
Sergey Ioffe et al., Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariat Shift, Mar. 2, 2015, pp. 1-11.
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.
Stan Melax et al., Dynamics Based 3D Skeletal Hand Tracking, May 22, 2017, pp. 1-8.
Takahashi et al., “Noncontact Tactile Display Based on Radiation Pressure of Airborne Ultrasound” IEEE Transactions on Haptics vol. 3, No. 3, p. 165 (2010).
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.
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.
Wooh et al., “Optimum beam steering of linear phased arays,” Wave Motion 29 (1999) pp. 245-265, 21 pages.
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.
Aoki et al., Sound location of stero reproduction with parametric loudspeakers, Applied Acoustics 73 (2012) 1289-1295 (7 pages).
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).
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).
Bożena Smagowska & Malgorzata 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.
Corrected Notice of Allowability dated Jan. 14, 2021 for U.S. Appl. No. 15/897,804 (pp. 1-2).
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).
Imaginary Phone: Learning Imaginary Interfaces by Transferring Spatial Memory From a Familiar Device Sean Gustafson, Christian Holz and Patrick Baudisch. UIST 2011. (10 pages).
ISR and WO for PCT/GB2020/050013 (dated Jul. 13, 2020) (20 pages).
ISR and WO for PCT/GB2020/050926 (dated Jun. 2, 2020) (16 pages).
ISR and WO for PCT/GB2020/052545 (dated Jan. 27, 2021) (14 pages).
ISR and WO for PCT/GB2020/052829 (dated Feb. 1, 2021) (15 pages).
Large et al., Feel the noise: Mid-air ultrasound haptics as a novel human-vehicle interaction paradigm, Applied Ergonomics (2019) (10 pages).
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).
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).
Office Action dated Dec. 7, 2020 for U.S. Appl. No. 16/563,608 (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 Sep. 21, 2020 for U.S. Appl. No. 16/198,959 (pp. 1-17).
Rocchesso et al., Accessing and Selecting Menu Items by In-Air Touch, ACM CHItaly'19, Sep. 23-25, 2019, Padova, Italy (9 pages).
Search Report by EPO for EP 17748466 dated Jan. 13, 2021 (16 pages).
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).
Teixeira, et al., “A brief introduction to Microsoft's Kinect Sensor,” Kinect, 26 pages, retrieved Nov. 2018.
Wang et al., Device-Free Gesture Tracking Using Acoustic Signals, ACM MobiCom '16, pp. 82-94 (13 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 (dated Jan. 27, 2021) 14 pages.
ISR and WO for PCT/GB2020/052544 (dated Dec. 18, 2020) (14 pages).
ISR for PCT/GB2020/052546 (dated Feb. 23, 2021) (14 pages).
ISR for PCT/GB2020/053373 (dated 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).
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).
Related Publications (1)
Number Date Country
20170193768 A1 Jul 2017 US
Provisional Applications (2)
Number Date Country
62275195 Jan 2016 US
62438587 Dec 2016 US