Three-dimensional perceptions in haptic systems

Information

  • Patent Grant
  • 11714492
  • Patent Number
    11,714,492
  • Date Filed
    Thursday, April 14, 2022
    2 years ago
  • Date Issued
    Tuesday, August 1, 2023
    a year ago
Abstract
An acoustic field may be produced from a transducer array having known relative positions and orientations In this acoustic field, one or more control points may be defined. An amplitude may be assigned to the control point. Mid-air haptic effect for a virtual object on a human body part may be generated by moving the control point in a single closed curve comprising a plurality of curve segments. The single closed curve traverses at least one location where the human body part intersects with the virtual object. Additionally, a user may interact with virtual three-dimensional content using the user's hands while a tracking system monitoring the user's hands, a physics engine updates the properties of the virtual three-dimensional content and a haptic feedback system provides haptic information to the user.
Description
FIELD OF THE DISCLOSURE

The present disclosure relates generally to improved techniques for perception of simulated three-dimensional objects and generation of three-dimensional sound in haptic-based systems.


BACKGROUND

A continuous distribution of sound energy, referred to as an “acoustic field” may be used for a range of applications including haptic feedback in mid-air. Such an acoustic field may be produced from a transducer array having known relative positions and orientations In this acoustic field, one or more control points may be defined. Such control points may have a known spatial relationship relative to the transducer array.


These control points may be assigned an amplitude and then amplitude-modulated with a signal and as a result produce vibro-tactile feedback in mid-air. An alternative method to produce feedback is to create control points that are not modulated in amplitude and move them around spatially to create “spatio-temporal” modulation that can be felt.


These control points are effectively concentrations of ultrasonic energy and moving them around generates disturbances in the air. By spatially modulating these disturbances created by ultrasonic foci, simply moving them backwards and forwards, it is possible to generate low frequency sound through the principle of acoustic radiation force as the focus pushes on the air or other materials around it.


Furthermore, very sudden disturbances are created when such focus points are quickly created or destroyed without slowly increasing or decreasing the amplitude. This creates pops or clicks which are often an unwanted side effect. Moving the control point can be used to achieve similar effects to changing the amplitude, but without the sharp changes in pressure that cause pops and clicks. This means that moving the control point is much more preferable than changing its amplitude. Due to the speed of sound being generally faster than the control point motion, this enables any generated pressure imbalances to dissipate, so the control point may be moved quickly without creating powerful air disturbances.


When considering the intersections between human hands and virtual objects, each finger and the palm in many instances feel a very small part of the overall shape that go towards the appreciation of the whole. Thus, when the hand feels a small part of the shape intersection the whole shape intersection must be created in order to not create and destroy the necessary control points. If the control points were created and destroyed such that they provide only the small part of the intersection, this would create unwanted noise. A more economical method of describing a shape therefore would save power and time and would then enable more of the power expended by the device to be used in creating haptic feedback in places which are touched by a hand.


Due to cross-modal and other perceptual effects, the induction of touch sensations through mid-air haptics remains surprisingly effective at communicating the existence, geometry and surface properties of objects. Fundamentally, although much research concentrates on exploration through touch alone, the effective use of these system is primarily used and driven through systems that cross multiple sensory modalities to provide an experience. For this reason, there exist in practice simple but conceptually complicated effects that can only be achieved through the realization of these underlying principles.


Furthermore, with mid-air haptic devices, virtual objects may be theoretically recreated in mid-air for the user to touch. But due to the nature of mid-air feedback, some fundamental physical limitations exist. This is because there are some parts of the somatosensory system that cannot be directly manipulated by the device, for example thermoreceptors for temperature sensing. But finding an optimal method to map output from the device—which necessarily has strengths and weaknesses peculiar to mid-air haptics—onto simulated physical interactions with virtual objects has been difficult. It is therefore valuable to develop an approach that is readily accepted by a human as corresponding to a plausible interaction with the object. Similarly, it is useful to manipulate focus point spinning in the air to generate a sound wave each time it moves along a path.





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 is a representation of a hand interacting with a virtual cube in accordance with some embodiments.



FIG. 2 is a representation of a control point moving in air that generates sound waves in accordance with some embodiments.





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

The solution described herein involving touch and aural interactions with virtual objects has properties that may be used in combination or separately.


I. CURVE MANIPULATION FOR 3D-SHAPE REPRODUCTION


When a hand intersects the shell of a three dimensional simulated shape, the current solution is to find a closed curve that best represents the intersection that is to be described to the user and actuate that path. Since it is a closed path, the system may use a single control point moving along the path with a given speed (and thus frequency) in order to produce it in mid-air haptics without much noise being created. But this suffers from two important limitations. First, only shapes containing paths that can be conveniently interpreted as closed curved contours may be represented. A shape containing open contours is not as suitable for haptic representation although the path can be bent back upon itself, this changes the haptic effect. Second, if the constraint of a single control point is imposed (since each control point requires computation, it is prudent to use them sparingly) only one contour may be used. If one contour is effective at providing feedback for one finger and another contour is effective for the palm, both cannot be used without recourse to multiple control points, which would split the capacity for output from a given device to provide multiple points of feedback. These drawbacks are in addition to the power limitations of the single contour approach. As the length of the contour increases, the speed that the point moves increases the point become spread more thinly, eventually decreasing its effective haptic response.


Instead of taking a single contour, finding the set of all intersections with the parts of the user on which the haptic effect is to be elicited, as line or curve segments or surfaces is the best solution. But this would involve creating many open curves, and thus entail creating and destroying the point many times at each beginning and end point respectively, Alternatively, this would require using many control points in order to create separate haptic effects for each intersection so that each region of haptic feedback may stay spatially locked. For example, in the specific case of a hand intersection, each finger and potentially also the palm must have separate haptic effects. This requires many points of contact, but so that the each control point may stay local to the point of contact or intersection, the existing solution is either loud (creation and destruction of a single point) or costly in device power and compute (many points). To overcome this requirement for multiple disconnected paths, taking the set of all intersections and then optimizing for the single shortest path that traverses each of them is much more effective. But this action will move across the shape in a linear fashion with a beginning and an end, which will create a control point at the beginning, traverse the shape and destroy the control point at the end, before recreating it at the beginning of the shape. This continuous creation and destruction, although an improvement, remains incompatible with a quiet system.


By connecting the beginning and end of the curves into a single closed curve and traversing it at the appropriate speed the desired haptic effect can be generated with significantly reduced noise. Further, this does not preclude amplitude modulation of the points as they traverse the given curves. This path is illustrated in FIG. 1.


Shown in FIG. 1 is a model 100 of a hand 110 interacting with a haptically generated virtual object 120. The points 132, 134, 136, 138 where the hand touches the virtual shape are connected into a path 140, and this path 140 is actuated, creating the feeling while moving the focus smoothly. Smooth movement of the focus along the path 140 without interruption minimizes any unwanted audible noise, resulting in correct, strong haptic sensation across multiple fingers while operating quietly. In addition, although FIG. 1 shows a hand 110, any body part may be used.


Because the curve connects each curve segment, the system determines whether to traverse them in a preset clockwise or counterclockwise motion. This motion is relative to a normal vector which may be defined relative to the user (such as a local coordinate space relative to the geometry of their hand), intersections or the geometry. Alternatively, it may be useful to use points traversing multiple curves in order to provide feedback for more than one user or hand.


One drawback of this approach is that in order to close the curve the user himself/herself must be avoided, in order to prevent spurious haptic effects being created on the user at locations where intersections did not occur. To achieve this in the context of the users' hand, the curve should be either made to go over or under the hand (and thus defocusing at the location of the hand) or around the hand. Alternatively, the state space of the transducers may be interpolated between each endpoint, removing the need to find a spatially coherent approach to closing the curve. The state of the ultrasonic waves in the acoustic field is driven linearly by the complex valued activation coefficients of each transducer. This requires, grouping all of these complex values for all transducers into a high-dimensional phase space and linearly interpolating between a first state in the space (that represents, for instance, an end point on one curve) and a second state (that represents an initial point at a different location). The linear interpolation must also apply to the acoustic fields resulting from the actuation of the newly created states in the intermediate stages. It should be noted that in these intermediate stages between the two states, the control point does not necessarily have any particular location. But because the linear interpolation applies to the produced acoustic field, the field must smoothly vary in time and therefore also could serve to also greatly reduce audible output while achieving the movement between points.


Another potentially more compatible approach is to change the speed at which the control point is moving along the curve. To start, the solution computes the length of the curve required to complete the closed path, traversing each intersection curve segment in turn creating haptic effects at each intersection with the user. Next, first considering only the parts of the path that do not contribute to the haptic effects, the solution traverses these haptically unnecessary curves at the fastest possible speed to avoid wasting power on them. This reduces the haptic actuation of these curves and is beneficial in two ways. First, the amount of time taken to traverse these parts of the path is reduced; second, if the user is intersected in error during this time the amount of haptic effect that he/she would receive would be minimal. Nevertheless, in the limit of this technique, it will behave as creation and destruction of the control point, creating pops and clicks as before. For this reason, it is useful to consider a speed limit that lessens the effects generated by discontinuities between the states of the acoustic field. The result of this technique is to create a control point that accelerates and decelerates between haptic regions. By considering a curve harboring haptic effects in this way, there may be the requirement that the curve must cycle at a haptically active frequency. This has the effect of creating a time “budget” of a closed path cycle period, part of which may be spent on the haptically active parts of the path and the remainder used to reduce audible noise. In this light, the remaining time in the haptically-actuated curve length is split between the parts of the path that require haptics. This time “budget” must ensure that these intersections receive as much of the energy from the array as possible so that haptic effects have the time (and thus power) to be realized at the intersections with the user. In this way, the device may be quiet and behave in a fashion that maximizes the energy deposited on the parts of the user to be haptically actuated such as the fingers.


Another issue is that the virtual shape or user position may dynamically change while haptic effects are being produced. For example, at the current time t0 a closed curve containing haptic effects is in current use. At the next time step in the future t1, a new curve containing haptic effects is synthesized to reflect the changes in the virtual shape. In this case, a further curve must be plotted that allows the point to traverse from the old curve representing the state of the virtual and physical world at time t0 to the new curve representing the state at time t1 without discontinuity. Selecting the closest point on each curve, and constructing a path between them that allows the point to move from the t0 curve to the t1 curve may be used to achieve this. This may also benefit from the introduction of a speed limit similarly to the unactuated portion of the haptic path described previously to limit the unusable traversal time from one curve to the other.


II. TOUCHING VIRTUAL THREE-DIMENSIONAL OBJECTS
A. Introduction

This disclosure is related to a system where a user interacts with virtual 3D-content by a tracking system monitoring his/her hands, using a physics engine to update the position and properties of the virtual content, and a haptic feedback system providing haptic information to the user. The haptic system may be mid-air haptic feedback. A haptic impulse may be applied to the user when his or her hand contacts a virtual object. This impulse may be applied at the exact location of the contact. Or the user's hand is formed into a skeletal model and the impulse is applied to each bone in the skeleton that contacts the object.


The strength and duration of the impulse is adjusted based on output from the physics engine, including momentum and physical properties of the hand and virtual object. The waveform of the haptic impulse may be adjusted based on the above physics engine outputs. A weaker haptic sensation may be applied to parts of the hand when the object is released or when contact with it ceases. In contrast, there is no haptic feedback applied during continuous holding.


Haptic feedback may be applied to the opposite side of the hand to which the contact is occurring. And haptic feedback follows the hand for the decaying amplitude experienced after contact.


B. Interacting with 3D Objects

A system may have a user who interacts with virtual 3D-content by a tracking system monitoring his/her hands, using a physics engine to update the position and properties of the virtual content, and a haptic feedback system providing haptic information to the user. The haptic system may use mid-air haptic feedback. A haptic impulse may be applied to the user when his or her hand contacts a virtual object. This impulse may be applied at the exact location of the contact. The user's hand may be formed into a skeletal model and the impulse is applied to each bone in the skeleton that contacts the object. The strength and duration of the impulse may be adjusted based on output from the physics engine, including momentum and physical properties of the hand and virtual object. The waveform of the haptic impulse may be adjusted based on the above physics engine outputs.


A weaker haptic sensation may be applied to parts of the hand when the object is release or when contact with it ceases. Furthermore, there may be no haptic feedback applied during continuous holding. Haptic feedback may be applied to the opposite side of the hand to which the contact is occurring. In addition, haptic feedback follows the hand for the decaying amplitude experienced after contact.


Specifically, when a user is engaged in virtual reality that has been enhanced by the addition of a mid-air haptic device, a hand tracking system may be employed to track their hands in order to determine the position and orientation of each hand, finger and joint. This information can be input into the virtual world in the form of a virtual hand object that is capable of interactions with virtual objects, albeit only one way. This is because the physical hand has one-to-one correspondence with, and puppets, the virtual hand. The virtual hand has the ability to interact with virtual objects, generally through some form of physics engine. (A physics engine is understood as one of the components of a game engine.)


For rigid bodies that do not change shape, a physics engine will generally be responsible for managing the simulated forces and torques applied to the objects in the virtual world and the resulting changes in linear, and angular, velocity and acceleration, before generating the corresponding changes in spatial transformation for each object or object part represented. Other object types may imply additional management or information, and may also include more complex simulation of physical phenomena.


Nonetheless, fundamentally, interactions between virtual objects are mediated by their simulated forces and torques, which must be found before these interactions can be simulated. In order to find these simulated forces and torques, the physics engine will ensure virtual objects are tested for “collisions”, which is effectively testing for future situations in which objects in the virtual scene might intersect. This generates collision information which feeds the management portion of the physics engine with positions, velocities, forces and torques. This information can also be used to inform a haptics engine about what a user might feel if parts of the user extended into the virtual world. But this machine is unable to affect the physical user due to the virtual objects not being able to physically collide with the user. In the case of the users' hand, the virtual objects do not affect the virtual hand and thus physical hand. This disconnect causes a loss of immersion in the virtual world.


A satisfying experience results if the mid-air haptic device is configured to provide feedback to the user at the point at which an impulse (a short sharp force, during which the force changes in time sharply), contact or similar interaction in which the force changes sharply in time is applied to the virtual object by the user, or on the virtual representation of the user by the virtual object. A haptic impulse that mirrors this may be created by generating a similarly short haptic effect. This is effective because of the occurrence of an illusion of two-way interaction due to the cross-modal effects in play at this setting. This haptic impulse may then be adjusted using the trajectory of the object and the hand, along with the simulated momentum, restitution and other physical properties of the object and hand.


The feedback may then be applied with an intensity and waveform appropriate and proportional to the impulse applied. Due to the proprioceptive and cross-modal phenomena in effect in this situation, in the case of the users' hand, the closest addressable part of the hand may be used (including through the hand). The user will still perceive this haptic effect to be originating at the location of the collision. Thus, if the impulse occurs on the back of the hand, due to the relative vibrotactile receptiveness of glabrous skin on the opposite side of the hand, this other side would be actuated instead of the real location of the contact. Perceptual effects then cause the user to believe that the impulse was stimulated in the correct location.


In addition, the user in a virtual world may want to pick up virtual objects. Since picking up and dropping objects is a common activity, it is important to preserve the user experience through this process. When picking up an object, the user receives impulses corresponding to the grip placed on the object. During the grip time, no feedback is applied. When the object is released or dropped from the users' virtual grip, a reduced impulse is used to indicate that the object has been released.


In many cases, the feedback follows the part of the hand to which the impulse was directed since it is modeling the vibration of and subsequent haptic effect on the skin at the point of contact. The feeling on contact can be accentuated, potentially using a decaying amplitude on the point of contact on the hand, to create a more persuasive effect and overcome the short duration of each impulse. The duration of the impulse may also be driven by data from the physics engine.


III. SPATIO-TEMPORALLY MODULATED SOUND

A. Sound from Ultrasound Via an Alternate Mechanism


The noise generated from certain haptic-based interactions is often an unwanted side effect of the haptic activity. But it is possible to use the property of noise generation to produce desired sound effects. Precisely controlling disturbances in haptic systems that generate low frequency noise provides the capacity to generate broadband signals by spatially moving the focusing points. This enables the creation of sound from ultrasound using an entirely different mechanism from existing parametric audio applications. Rather than modulating a point or beam in amplitude, a control point may instead be moved in a trajectory that encodes the waveform. This turns the control point into an audio source.


B. Plotting Spatial Trajectories


Turning to FIG. 2, shown is a representation 200 of a focus point 210 spinning in the air via path 220, which generates a sound wave 230 each time it moves along the path 220. The motion can be modified to reproduce a sound that is audible to the human ear in a localized way without amplitude modulating the focusing system.


The easiest way to generate these trajectories is to take an existing sound source and reinterpret it as a linear path along which a focus point moves to create a sound wave. At each point in time, the level in a digitally sampled sound channel may be interpreted as a parameterized position along this path that the focus is to be created. By creating foci at these positions at the sampled time offsets, an audible sound can be created along a 1D open curve path.


Alternatively, such an existing digitally sampled sound source may be decomposed into in-phase and quadrature components, that is into the real and imaginary parts of a complex signal that describes the audio. This is not trivial for an audio source since it is wideband. Thus, the most effective way to achieve the desired result is to apply a Fourier transform to the signal and apply π/2 phase offset. The standard approaches concerning windowing, blocking of the signal and transitions in phase may also be used. This generates the imaginary component of the sampled audio signal. Since the signal may be represented as a complex value, the signal may be mapped onto a 1D closed curve, or a 2D circle, plane or surface. Moving the point around or remapping these 2D coordinates into the space will produce sound waves, thereby recreating this audio signal. In this way, the audio signal may be generated in a 2D area.


This effect may also be used in a third dimension to provide the phase cues that govern stereo audio (potentially with a single sound source) for systems that cannot create strong foci in disparate positions. Similarly, for multiple focus points, multiple sound sources may be synthesized. This enables multi-channel audio that can be created from focus points in the air. These focus points may also provide haptic feedback.


IV. GENERATIVE HAPTICS FROM AUDIO EXEMPLARS

Control points may be changed in amplitude many thousands of times a second, although only low frequencies can be detected as haptics. Through non-linearity effects, higher frequencies can be reproduced. Updating the control points quickly yields the ability to produce many frequencies at once, giving the ability to reproduce audio in some sense. However, audio does not have information in frequency ranges that are haptically effective.


Designing haptic effects in the air is challenging as due to the sensitivity of the skin only some bands of frequencies are available for haptic use. Due to this, effects can be created that create pleasurable sounds from the array that do not convey haptics and conversely haptic effects that do not sound pleasing. Due to these reasons, an easier approach to designing mid-air haptic effects would be valuable.


Creating a haptic sensation using a sound as input may be achieved in a number of ways. The frequencies of the sound that are in the haptic range may be amplified until a haptic threshold is reached. Alternatively, the initial sound may have frequencies that are haptically active added to it. The original sound may be analyzed and a profile constructed. This profile may then be used to generate a haptic effect. This may be constructed using the qualities present in the sound, allowing the created haptic texture to take on aspects of the exemplar such as speed, rhythm or texture. The sound may be processed into a haptic effect using a variety of processing mechanisms. These mechanisms may be configured to emphasize certain aspects in the resultant haptic effect while potentially ignoring others. This can also be achieved by extracting a feature set from the sound before processing the sound into a haptic effect. A feature set could also contain discontinuities inferred from the sound, such as for example a plosive phoneme being interpreted in this way.


Specifically, this can be implemented by (1) extracting a feature set from a sound profile before assigning the plurality of amplitudes to the control point over a preset time period; and (2) applying a feature set to the plurality of amplitudes assigned to the control point over a preset time period. Alternatively, it can implemented by (1) extracting a feature set from the plurality of amplitudes to the control point over a preset time period; and (2) applying the feature set to the sound profile.


A library of haptic effects may be searched and sorted based on the extracted feature set alongside similarity metrics in order to provide feedback to a haptic author. This haptic author may use the sound interface to describe basic components of a haptic effect, which can then be edited and mixed further. The haptic effect may also be mixed back into the waveform, resulting in a combination of audio and haptic effects. This may occur automatically or via a range of processing styles. These may involve accentuating or augmenting particular haptic effects in order to stylize the effects. The processing styles may be concatenated or remixed to create new processing schemes. Labels can be attached to these processing mechanisms and haptic effects, such as “buzzy” or “warm”. These may be used to adjust existing haptic effects, adjust audio inputs to be synthesized into haptic effects or search for existing effects that are examples of the style described.


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: a user interacting with virtual three-dimensional content using the user's hands;a tracking system monitoring the user's hands;a physics engine updating the properties of the virtual three-dimensional content;a mid-air haptic feedback system providing haptic information to the user;a first haptic impulse applied to at last one of the user's hands when the at least one of the user's hands contacts the virtual three-dimensional content;forming the at least one of the user's hands into a skeletal model having a plurality of bones, andwherein the first haptic impulse is applied to the plurality of bones of the at least one of the user's hands that contacts the virtual three-dimensional content;wherein the first haptic impulse applied to at least one of the user's hands ceases when the at least one of the user's hands maintains contact with the virtual three-dimensional content.
  • 2. The method as in claim 1, wherein the first haptic impulse is applied at the location of the contact of the at least one of the user's hands with the virtual three-dimensional content.
  • 3. The method as in claim 1, wherein the strength and duration of the first haptic impulse is adjusted based on output from the physics engine.
  • 4. The method as in claim 1, wherein the waveform of the first haptic impulse is adjusted based on output from the physics engine.
  • 5. The method as in claim 1, further comprising a second haptic impulse applied to the parts of the at least one of the user's hands that release contact with the virtual three-dimensional content.
  • 6. The method as in claim 5, wherein the second haptic impulse is weaker than the first haptic impulse.
  • 7. A method comprising: a user interacting with virtual three-dimensional content using the user's hands;a tracking system monitoring the user's hands;a physics engine updating the properties of the virtual three-dimensional content;a mid-air haptic feedback system providing haptic information to the user;a first haptic impulse applied to at least one of the user's hands when the at least one of the user's hands contacts the virtual three-dimensional content;forming the at least one of the user's hands into a skeletal model having a plurality of bones, andwherein the first haptic impulse is applied to the plurality of bones of the at least one of the user's hands that contacts the virtual three-dimensional content;wherein the skeleton of the at least one of the user's hands has a first side and a second side,wherein the contact of the at least one of the user's hands occurs on the first side and the haptic impulse occurs on the second side.
  • 8. The method as in claim 7, wherein the first haptic impulse is applied at the location of the contact of the at least one of the user's hands with the virtual three-dimensional content.
  • 9. The method as in claim 7, wherein the strength and duration of the first haptic impulse is adjusted based on output from the physics engine.
  • 10. The method as in claim 7, wherein the waveform of the first haptic impulse is adjusted based on output from the physics engine.
  • 11. The method as in claim 7, further comprising a second haptic impulse applied to the parts of the at least one of the user's hands that release contact with the virtual three-dimensional content.
  • 12. The method as in claim 11, wherein the second haptic impulse is weaker than the first haptic impulse.
  • 13. A method comprising: a user interacting with virtual three-dimensional content using the user's hands;a tracking system monitoring the user's hands;a physics engine updating the properties of the virtual three-dimensional content;a mid-air haptic feedback system providing haptic information to the user;a first haptic impulse applied to at least one of the user's hands when the at least one of the user's hands contacts the virtual three-dimensional content;forming the at least one of the user's hands into a skeletal model having a plurality of bones, andwherein the first haptic impulse is applied to the plurality of bones of the at least one of the user's hands that contacts the virtual three-dimensional content;wherein the first haptic impulse applied to at least one of the user's hands follows the at least one of the user's hand using decaying amplitude when the at least one of the user's hands terminates contact with the virtual three-dimensional content.
  • 14. The method as in claim 13, wherein the first haptic impulse is applied at the location of the contact of the at least one of the user's hands with the virtual three-dimensional content.
  • 15. The method as in claim 13, wherein the strength and duration of the first haptic impulse is adjusted based on output from the physics engine.
  • 16. The method as in claim 13, wherein the waveform of the first haptic impulse is adjusted based on output from the physics engine.
  • 17. The method as in claim 13, further comprising a second haptic impulse applied to the parts of the at least one of the user's hands that release contact with the virtual three-dimensional content.
  • 18. The method as in claim 17, wherein the second haptic impulse is weaker than the first haptic impulse.
RELATED APPLICATION

This application claims the benefit of the following four U.S. Provisional Patent Applications, all of which are incorporated by reference in their entirety: 1) Ser. No. 62/370,522, filed on Aug. 3, 2016;2) Ser. No. 62/370,786, filed on Aug. 4, 2016;3) Ser. No. 62/370,865, filed on Aug. 4, 2016; and4) Ser. No. 62/397,419, filed on Sep. 21, 2016.

US Referenced Citations (332)
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 Mehdizadeh 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 Oliver Apr 2021 A1
20210111731 Oliver Apr 2021 A1
20210112353 Brian 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
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 (60)
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
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
2021130505 Jul 2021 WO
Non-Patent Literature Citations (315)
Entry
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).
“Welcome to Project Soli” video, https://atap.google.com/#project-soli Accessed Nov. 30, 2018, 2 pages.
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.
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).
Amanda Zimmerman, The gentle touch receptors of mammalian skin, Science, Nov. 21, 2014, vol. 346 Issue 6212, p. 950.
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].
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).
Bożena Smagowska & MałuszczyńPawlaczyk-Łuszczyńska (2013) Effects of Ultrasonic Noise on the Human Body—A Bibliographic Review, International Journal of Occupational Safety and Ergonomics, 19:2, 195-202.
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.
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.
Communication Pursuant to Article 94(3) EPC for EP 19723179.8 (dated Feb. 15, 2022).
Corrected Notice of Allowability dated Aug. 9, 2021 for U.S. Appl. No. 15/396,851 (pp. 1-6).
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 Nov. 24, 2021 for U.S. Appl. No. 16/600,500 (pp. 1-5).
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 21186570.4 Extended Search Report dated Oct. 29, 2021.
EPO Application 18 725 358.8 Examination Report dated Sep. 22, 2021.
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).
EPO Examination Search Report 17 702 910.5 (dated Jun. 23, 2021).
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).
Gareth Young et al. Designing Mid-Air Haptic Gesture Controlled User Interfaces for Cars, PACM on Human-Computer Interactions, Jun. 2020 (24 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., “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.
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).
Henrik Bruus, Acoustofluidics 2: Perturbation theory and ultrasound resonance modes, Lab Chip, 2012, 12, 20-28.
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 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).
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.
Hyunjae Gil, Whiskers: Exploring the Use of Ultrasonic Haptic Cues on the Face, CHI 2018, Apr. 21-26, 2018, Montréal, QC, Canada.
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).
India Morrison, The skin as a social organ, Exp Brain Res (2010) 204:305-314.
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 App. No. PCT/GB2021/051590, dated Nov. 11, 2021, 20 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 & WO for PCT/GB2020/052545 (dated Jan. 27, 2021) 14 pages.
ISR & WO For PCT/GB2021/052946.
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/GB2020/052544 (dated Dec. 18, 2020) (14 pages).
ISR and WO for PCT/GB2020/052829 (dated Feb. 10, 2021) (15 pages).
ISR and WO for PCT/GB2021/052415 (dated Dec. 22, 2021) (16 pages).
ISR for PCT/GB2020/052546 (dated Feb. 23, 2021) (14 pages).
ISR for PCT/GB2020/053373 (dated Mar. 26, 2021) (16 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, 2006 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, 2019, 10 pages.
JonasChatel-Goldman, Touch increases autonomic coupling between romantic partners, Frontiers in Behavioral Neuroscience Mar. 2014, vol. 8, Article 95.
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).
Kai Tsumoto, Presentation of Tactile Pleasantness Using Airborne Ultrasound, 2021 IEEE World Haptics Conference (WHC) Jul. 6-9, 2021. Montreal, Canada.
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).
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).
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).
Line S Loken, Coding of pleasant touch by unmyelinated afferents in humans, Nature Neuroscience vol. 12 [ No. 5 [ May 2009 547.
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, (19850301), 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.
Mariana von Mohr, The soothing function of touch: affective touch reduces feelings of social exclusion, Scientific Reports, 7: 13516, Oct. 18, 2017.
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.
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.
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.
Mohamed Yacine Tsalamlal, Non-lntrusive Haptic Interfaces: State-of-the Art Survey, HAID 2013, LNCS 7989, pp. 1-9, 2013.
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. 20, 2021 for U.S. Appl. No. 16/563,608 (pp. 1-5).
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. 22, 2021 for U.S. Appl. No. 16/600,500 (pp. 1-9).
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. 10, 2021 for U.S. Appl. No. 17/092,333 (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 Jun. 25, 2021 for U.S. Appl. No. 15/396,851 (pp. 1-10).
Notice of Allowance dated May 30, 2019 for U.S. Appl. No. 15/966,213 (pp. 1-9).
Notice of Allowance dated Nov. 5, 2021 for U.S. Appl. No. 16/899,720 (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 (Final Rejection) dated Mar. 14, 2022 for U.S. Appl. No. 16/564,016 (pp. 1-12).
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 (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 Dec. 20, 2021 for U.S. Appl. No. 17/195,795 (pp. 1-7).
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).
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).
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 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 (pags 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. 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. 22, 2019 for U.S. Appl. No. 16/160,862 (pp. 1-5).
Office Action dated Aug. 9, 2021 for U.S. Appl. No. 17/068,825 (pp. 1-9).
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 Jun. 25, 2021 for U.S. Appl. No. 16/899,720 (pp. 1-5).
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 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).
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. 29, 2021 for U.S. Appl. No. 16/198,959 (pp. 1-7).
Office Action dated Oct. 31, 2019 for U.S. Appl. No. 15/671,107 (pp. 1-6).
Office Action dated Oct. 31, 2019 for U.S. Appl. No. 15/396,851 (pp. 1-9).
Office Action dated Sep. 16, 2021 for U.S. Appl. No. 16/600,496 (pp. 1-8).
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).
Office Action dated Sep. 24, 2021 for U.S. Appl. No. 17/080,840 (pp. 1-9).
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 Received Feb. 25, 2003; 25 pages.
Oscar Martínez-Graullera et al., “2D array design based on Fermat spiral for ultrasound imaging”, ULTRASONICS, (Fe. 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).
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.
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 Decembers, 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.
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.
Steve Guest et al., “Audiotactile interactions in roughness perception”, Exp. Brain Res (2002) 146:161-171, DOI 10.1007/s00221-002-1164-z, Received: Feb. 9, 2002/Accepted: May 16, 2002/Published online: Jul. 26, 2002, Springer-Verlag 2002, (11 pages).
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).
Sylvia Gebhardt, Ultrasonic Transducer Arrays for Particle Manipulation (date unknown) (2 pages).
Takaaki Kamigaki, Noncontact Thermal and Vibrotactile Display Using Focused Airborne Ultrasound, EuroHaptics 2020, LNCS 12272, pp. 271-278, 2020.
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).
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.
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 15; published Apr. 16.
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.
EPO ISR and WO for PCT/GB2022/050204 (dated Apr. 7, 2022) (15 pages).
IN 202047026493 Office Action dated Mar. 8, 2022.
Office Action (Non-Final Rejection) dated May 2, 2022 for U.S. Appl. No. 17/068,831 (pp. 1-10).
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) 8 pages.
Invitation to Pay Additional Fees for PCT/GB2022/051821 (dated Oct. 20, 2022), 15 pages.
Mahboob, “Artincial neural networks for learning inverse kinematics of humanoid robot arms.” MS Thesis, 2015. (Year: 2015) 95 pages.
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. 17/134,505 (pp. 1-7).
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).
ISR & WO for PCT/GB2022/051388 (dated 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 (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).
Related Publications (1)
Number Date Country
20220236806 A1 Jul 2022 US
Provisional Applications (4)
Number Date Country
62397419 Sep 2016 US
62370865 Aug 2016 US
62370786 Aug 2016 US
62370522 Aug 2016 US
Continuations (4)
Number Date Country
Parent 17170841 Feb 2021 US
Child 17721315 US
Parent 16699629 Nov 2019 US
Child 17170841 US
Parent 16296127 Mar 2019 US
Child 16699629 US
Parent 15665629 Aug 2017 US
Child 16296127 US