The present invention relates generally to a control system, and in particular, to a tactile input controller for controlling an associated system.
Touchpad user interfaces for controlling external systems such as computers, machinery, and process environments via at least three independent control signals. The touchpad may be operated by hand, other parts of the body, or inanimate objects. Such an interface affords a wide range of uses in computer applications, machine and process control, and assistance to the disabled. In one embodiment simple contact position-sensing touchpads, producing control signals responsive to a contact region, are enhanced to provide several independent control signals. Enhancements may include velocity sensors, pressure sensors, and electronic configurations measuring contact region widths. Touch-screens positioned over visual displays may be adapted. According to other aspects pressure-sensor array touchpads are combined with image processing to responsively calculate parameters from contact regions. Six independent control parameters can be derived from each region of contact. These may be easily manipulated by a user. In one implementation, smaller pressure-sensor arrays are combined with data acquisition and processing into a chip that can be tiled in an array.
The above and other aspects, features and advantages of the present invention will become more apparent upon consideration of the following description of preferred embodiments taken in conjunction with the accompanying drawing figures, wherein:
Overview
Described herein are two kinds of novel touch-pads. Null/contact touchpads are contact-position sensing devices that normally are in a null state unless touched and produce a control signal when touched whose signal value corresponds to typically one unique position on the touch-pad. A first enhancement is the addition of velocity and/or pressure sensing. A second enhancement is the ability to either discern each dimensional-width of a single contact area or, alternatively, independently discern two independent contact points in certain types of null/contact controllers. A third possible enhancement is that of employing a touch-screen instance of null/contact touch pad and positioning it over a video display.
The invention also provides for a pressure-sensor array touch-pad. A pressure-sensor array touch-pad of appropriate sensitivity range, appropriate “pixel” resolution, and appropriate physical size is capable of measuring pressure gradients of many parts of the human hand or foot simultaneously. A pressure-sensor array touch-pad can be combined with image processing to assign parameterized interpretations to measured pressure gradients and output those parameters as control signals. The pressure-sensor “pixels” of a pressure-sensor array are interfaced to a data acquisition stage; the data acquisition state looks for sensor pixel pressure measurement values that exceed a low-level noise-rejection/deformity-reject threshold; contiguous regions of sufficiently high pressure values are defined; the full collection of region boundaries are subjected to classification tests; various parameters are derived from each independent region; and these parameters are assigned to the role of specific control signals which are then output to a signal routing, processing, and synthesis entity.
It is possible to derive a very large number of independent control parameters which are easily manipulated by the operating user. For example, six degrees of freedom can be recovered from the contact of a single finger. A whole hand posture can yield 17 instantaneously and simultaneously measurable parameters which are independently adjustable per hand. The recognized existence and/or derived parameters from postures and gestures may be assigned to specific outgoing control signal formats and ranges. The hand is used throughout as an example, but it is understood that the foot or even other body regions, animal regions, objects, or physical phenomena can replace the role of the hand.
It will be evident to one of ordinary skill in the art that it is advantageous to have large numbers of instantaneously and simultaneously measurable parameters which are independently adjustable. For instance, a symbol in a 2-D CAD drawing can be richly interactively selected and installed or edited in moments as opposed to tens to hundreds of seconds as is required by mouse manipulation of parameters one or two at a time and the necessary mode-changes needed to change the mouse action interpretation. As a result, said touch-pad has applications in computer workstation control, general real-time machine control, computer data entry, and computer simulation environments.
Various hardware implementations are possible. A particularly advantageous implementation would be to implement a small pressure-sensor array together with data acquisition and a small processor into a single chip package that can be laid as tiles in a larger array.
Null/Contact Touch-Pads
Distinguished from panel controls and sensors are what will be termed null/contact touch-pads. This is a class of contact-position sensing devices that normally are in a null state unless touched and produce a control signal when touched whose signal value corresponds to typically one unique position on the touch-pad. Internal position sensing mechanisms may be resistive, capacitive, optical, standing wave, etc. Examples of these devices include one-dimensional-sensing ribbon controllers found on early music synthesizers, two-dimensional-sensing pads such as the early Kawala pad and more modern mini-pads found on some lap-top computers, and two-dimensional-sensing see-through touch-screens often employed in public computer kiosks.
The null condition, when the pad is untouched, requires and/or provides the opportunity for special handling. Some example ways to handle the untouched condition include:
Additional enhancements can be added to the adaptation of null/contact touch-pad controllers as instrument elements. A first enhancement is, the addition of velocity and/or pressure sensing. This can be done via global impact and/or pressure-sensors. An extreme of this is implementation of the null/contact touch-pad controller as a pressure-sensor array; this special case and its many possibilities are described later.
A second enhancement is the ability to either discern each dimensional-width of a single contact area or alternatively, independently discern two independent contact points in certain types of null/contact controllers.
Referring to
The value of the voltage drop then equals a value in proportion to the distance separating the extremes of the wide and/or multiple contact points. By subtracting the actual voltage across the entire resistive element from the value this voltage is normally, a control voltage proportional to distance separating the extremes of the wide and/or multiple contact points is generated. Simultaneously, the voltage difference between that of the contact plate/wire and that of the end of the resistive element closest to an external contact point is still proportional to the distance from said end to said external contact point. Using at most simple op-amp summing and/or differential amplifiers, a number of potential control voltages can be derived; for example one or more of these continuously-valued signals:
Further, through use of simple threshold comparators, specific thresholds of shorted resistive element can be deemed to be, for example, any of a single point contact, a recognized contact region width, two points of contact, etc., producing corresponding discrete-valued control signals. The detection of a width can be treated as a contact event for a second parameter analogous to the single contact detection event described at the beginning. Some example usages of these various continuous and discrete signals are:
It is understood that analogous approaches may be applied to other null/contact touchpad technologies such as capacitive or optical.
A third possible enhancement is that of employing a touch-screen instance of null/contact touch-pad and positioning it over a video display. The video display could for example provide dynamically assigned labels, abstract spatial cues, spatial gradients, line-of-site cues for fixed or motor-controlled lighting, etc. which would be valuable for use in conjunction with the adapted null/contact touch-pad controller.
These various methods of adapted null/contact touch-pad elements can be used stand-alone or arranged in arrays. In addition, they can be used as a component or addendum to instruments featuring other types of instrument elements.
Pressure-Sensor Array Touch-Pads
The invention provides for use of a pressure-sensor array arranged as a touch-pad together with associated image processing. As with the null/contact controller, these pressure-sensor array touch-pads may be used stand-alone or organized into an array of such pads.
It is noted that the inventor's original vision of the below described pressure-sensor array touch-pad was for applications not only in music but also for computer data entry, computer simulation environments, and real-time machine control, applications to which the below described pressure-sensor array touch-pad clearly can also apply.
A pressure-sensor array touch-pad of appropriate sensitivity range, appropriate “pixel” resolution, and appropriate physical size is capable of measuring pressure gradients of many parts of the flexibly-rich human hand or foot simultaneously.
The pressure-sensor “pixels” of a pressure-sensor array touch-pad 1300 are interfaced to a data acquisition stage 1301. The interfacing method may be fully parallel but in practice may be advantageously scanned at a sufficiently high rate to give good dynamic response to rapidly changing human touch gestures. To avoid the need for a buffer amplifier for each pressure-sensor pixel, electrical design may carefully balance parasitic capacitance of the scanned array with the electrical characteristics of the sensors and the scan rates; electrical scanning frequencies can be reduced by partitioning the entire array into distinct parts that are scanned in parallel so as to increase the tolerance for address settling times and other limiting processes.
Alternatively, the pressure-sensor array 1300 may be fabricated in such a way that buffer amplifier arrays can be inexpensively attached to the sensor array 1300, or the sensors may be such that each contains its own buffer amplifier; under these conditions, design restrictions on scanning can be relaxed and operate at higher speeds. Although the pressure sensors may be likely analog in nature, a further enhancement would be to use digital-output pressure-sensor elements or sub-arrays.
The data acquisition stage 1301 looks for sensor pixel pressure measurement values that exceed a low-level noise-rejection/deformity-rejection threshold. The sufficiently high pressure value of each such sensor pixel is noted along with the relative physical location of that pixel (known via the pixel address). This noted information may be stored “raw” for later processing and/or may be subjected to simple boundary tests and then folded into appropriate running calculations as will be described below. In general, the pressure values and addresses of sufficiently high pressure value pixels are presented to a sequence of processing functions which may be performed on the noted information:
Because of the number of processes involved in such a pipeline, it is advantageous to follow a data acquisition stage 1301 with one or more additional processing stages 1303, 1305, 1309, and 1311. Of the four example processing functions just listed, the first three fall in the character of image processing. It is also possible to do a considerable amount of the image processing steps actually within the data acquisition step, namely any of simple adjacency tests and folding selected address and pressure measurement information into running sums or other running pre-calculations later used to derive aforementioned parameters. The latter method can be greatly advantageous as it can significantly collapses the amount of data to be stored.
Regardless of whether portions of the image processing are done within or beyond the data acquisition stage, there are various hardware implementations possible. One hardware approach would involve very simple front-end scanned data acquisition hardware and a single high-throughput microprocessor/signal-processor chip. Alternatively, an expanded data acquisition stage may be implemented in high-performance dedicated function hardware and this would be connected to a lower performance processor chip. A third, particularly advantageous implementation would be to implement a small pressure-sensor array together with data acquisition and a small processor into a single low-profile chip package that can be laid as tiles in a nearly seamless larger array. In such an implementation all image processing could in fact be done via straightforward partitions into message-passing distributed algorithms.
One or more individual chips could direct output parameter streams to an output processor which would organize and/or assign parameters to output control channels, perhaps in a programmable manner under selectable stored program control. A tiled macro array of such “sensor mini-array” chips could be networkedsby a tapped passive bus, one- or two-dimensional mode active bus daisy-chain, a potentially expandable star-wired centralized message passing chip or subsystem, or other means.
Creating a large surface from such “tile chips” will aid in the serviceability of the surface. Since these chips can be used as tiles to build a variety of shapes, it is therefore possible to leverage a significant manufacturing economy-of-scale so as to minimize cost and justify more extensive feature development. Advanced seating and connector technologies, as used in laptops and other high-performance miniature consumer electronics, can be used to minimize the separation between adjacent chip “tiles” and resultant irregularities in the tiled-surface smoothness. A tiled implementation may also include a thin rugged flexible protective film that separates the sensor chips from the outside world.
With the perfection of a translucent pressure-sensor array, it further becomes possible for translucent pressure-sensor arrays to be laid atop aligned visual displays such as LCDs, florescent, plasma, CRTs, etc. as was discussed above for null/contact touch-pads. The displays can be used to label areas of the sensor array, illustrate gradients, etc. Note that in the “tile chip” implementation, monochrome or color display areas may indeed be built into each chip.
Returning now to the concept of a pressure-sensor array touch-pad large enough for hand-operation: examples of hand contact that may be recognized, example methods for how these may be translated into control parameters, and examples of how these all may be used are now described. In the below the hand is used throughout as an example, but it is understood that the foot or even other body regions, animal regions, objects, or physical phenomena can replace the role of the hand in these illustrative examples.
Relatively simple pattern recognition software can be used to discern these and other hand contact patterns which will be termed “postures.” The pattern recognition working together with simple image processing may, further, derive a very large number of independent control parameters which are easily manipulated by the operating user. In many cases it may be advantageous to train a system to the particulars of a specific person's hand(s) and/or specific postures. In other situations the system may be designed to be fully adaptive and adjust to a person's hand automatically. In practice, for the widest range of control and accuracy, both training and ongoing adaptation may be useful. Further, the recognized postures described thus far may be combined in sequence with specific dynamic variations among them (such as a finger flick, double-tap, etc.) and as such may be also recognized and thus treated as an additional type of recognized pattern; such sequential dynamics among postures will be termed “gestures.”
The admission of gestures further allows for the derivation of additional patterns such as the degree or rate of variation within one or more of the gesture dynamics. Finally, the recognized existence and/or derived parameters from postures and gestures may be assigned to specific outgoing control signal formats and ranges. Any training information and/or control signal assignment information may be stored and recalled for one or more players via stored program control.
For each recognized pattern, the amount of information that can be derived as parameters is in general very high. For the human hand or foot, there are, typically, artifacts such as shape variation due to elastic tissue deformation that permit recovery of up to all six degrees of freedom allowed in an object's orientation in 3-space.
In general other and more complex hand contacts, such as use of two fingers, the whole hand, etc. forfeit some of these example degrees of freedom but often introduce others. For example, in the quite constrained case of a whole hand posture, the fingers and thumb can exert pressure independently (5 parameters), the finger and thumb separation angles can be varied (4 parameters), the finger ends 1504a can exert pressure independently from the middle 1504b and inner 1504c segments (4 parameters), the palm can independently vary its applied pressure (1 parameter) while independently tilting/rocking in two directions (2 parameters) and the thumb can curl (1 parameter), yielding 17 instantaneously and simultaneously measurable parameters which are independently adjustable per hand. Complex contact postures may also be viewed as, or decomposed into, component sub-postures (for example here, as flat-finger contact, palm contact, and thumb contact) which would then derive parameters from each posture independently. For such complex contact postures, recognition as a larger compound posture which may then be decomposed allows for the opportunity to decouple and/or renormalize the parameter extraction in recognition of the special affairs associated with and constraints imposed by specific complex contact postures.
It is noted that the derived parameters may be pre-processed for specific uses. One example of this would be the quantization of a parameter into two or more discrete steps; these could for example be sequentially interpreted as sequential notes of a scale or melody. Another example would be that of warping a parameter range as measured to one with a more musically expressive layout.
Next examples of the rich metaphorical aspects of interacting with the pressuresensor array touch-pad are illustrated. In many cases there may be one or more natural geometric metaphor(s) applicable, such as associating left-right position, left-right twisting, or left-right rotation with stereo panning, or in associating overall pressure with volume or spectral complexity. In more abstract cases, there may be pairs of parameters that go together—here, for example with a finger end, it may be natural to associate one parameter pair with (left/right and forward/backward) contact position and another parameter pair with (left/right and forward/backward) twisting/rocking. In this latter example there is available potential added structure in the metaphor by viewing the twisting/rocking plane as being superimposed over the position plane. The superposition aspect of the metaphor can be viewed as an index, or as an input-plane/output-plane distinction for a two-input/two-output transformation, or as two separated processes which may be caused to converge or morph according to additional overall pressure, or in conjunction with a dihedral angle of intersection between two independent processes, etc.
Next, examples of the rich syntactical aspects of interacting with the pressure-sensor array touch-pad are illustrated. Some instruments have particular hand postures naturally associated with their playing. It is natural then to recognize these classical hand-contact postures and derive control parameters that match and/or transcend how a classical player would use these hand positions to evoke and control sound from the instrument. Further, some postures could be recognized either in isolation or in gestural-context as being ones associated with (or assigned to) percussion effects while remaining postures may be associated with accompanying melodies or sound textures.
As an additional syntactic aspect, specific hand postures and/or gestures may be mapped to specific selected assignments of control signals in ways affiliated with specific purposes. For example, finger ends may be used for one collection of sound synthesis parameters, thumb for a second potentially partially overlapping collection of sound synthesis parameters, flat fingers for a third partially-overlapping collection, wrist for a fourth, and cuff for a fifth, and first for a sixth. In this case it may be natural to move the hand through certain connected sequences of motions; for example: little finger end, still in contact, dropping to flat-finger contact, then dropping to either palm directly or first to cuff and then to palm, then moving to wrist, all never breaking contact with the touch-pad. Such permissible sequences of postures that can be executed sequentially without breaking contact with the touch-pad will be termed “continuous grammars.”
Under these circumstances it is useful to set up parameter assignments, and potentially associated context-sensitive parameter renormalizations, that work in the context of selected (or all available) continuous grammars. For example, as the hand contact evolves as being recognized as one posture and then another, parameters may be smoothly handed-over in interpretation from one posture to another without abrupt changes, while abandoned parameters either hold their last value or return to a default value (instantly or via a controlled envelope).
Now a number of example applications of the pressure-sensor array touchpad are provided. It is known to be possible and valuable to use the aforementioned pressure-sensor array touch-pad, implicitly containing its associated data acquisition, processing, and assignment elements, for many, many applications such as general machine control and computer workstation control. One example of machine control is in robotics: here a finger might be used to control a hazardous material robot hand as follows:
A computer workstation example may involve a graphical Computer-Aided Design application currently requiring intensive mouse manipulation of parameters one or two at a time:
Clearly a symbol can be richly interactively selected and installed or edited in moments as opposed to tens to hundreds of seconds as is required by mouse manipulation of parameters one or two at a time and the necessary mode-changes needed to change the mouse action interpretation.
Touch-Pad Array
Touch-pad instrument elements, such as null/contact types and pressure-sensor array types described earlier, can be used in isolation or arrays to create electronic controller instruments. The touch-pad(s) may be advantageously supplemented with panel controls such as push buttons, sliders, knobs as well as impact sensors for velocity-controlled triggering of percussion or pitched note events. If one or more of the touch-pads is transparent (as in the case of a null/contact touch screen overlay) one or more video, graphics, or alphanumeric displays 2711 may placed under a given pad or group of pads.
All publications and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference. The invention now being fully described, it will be apparent to one of ordinary skill in the art that many changes and modifications can be made thereto without departing from its spirit or scope.
The following references are cited in this patent application using the format of the first one or two authors last name(s) within square brackets“[ ]”, multiple references within a pair of square brackets separated by semicolons “;”
This application is a continuation of U.S. application Ser. No. 11/761,978, filed Jun. 12, 2007, which is a continuation of U.S. application Ser. No. 09/812,400, filed Mar. 19, 2001, now U.S. Pat. No. 7,786,370, issued Aug. 31, 2010, which is a division of U.S. application Ser. No. 09/313,533, filed May 15, 1999, now U.S. Pat. No. 6,610,917, issued Aug. 26, 2003, which claims benefit of priority of U.S. provisional application Ser. No. 60/085,713, filed May 15, 1998. This application is also related to U.S. application Ser. No. 13/470,725, filed May 14, 2012.
Number | Name | Date | Kind |
---|---|---|---|
1947020 | Howland | Feb 1934 | A |
3493669 | Elbrecht et al. | Feb 1970 | A |
3591699 | Cutler | Jul 1971 | A |
3612741 | Marshall | Oct 1971 | A |
3651242 | Evans | Mar 1972 | A |
3730046 | Spence | May 1973 | A |
3742113 | Cohen | Jun 1973 | A |
3742133 | O'Sullivan | Jun 1973 | A |
3805091 | Colin | Apr 1974 | A |
3813473 | Terymenko | May 1974 | A |
3878748 | Spence | Apr 1975 | A |
3910152 | Kusakawa | Oct 1975 | A |
3956959 | Ebihara et al. | May 1976 | A |
3962945 | Creager et al. | Jun 1976 | A |
4075921 | Heet | Feb 1978 | A |
4080867 | Ratanangsu | Mar 1978 | A |
4117413 | Moog | Sep 1978 | A |
4122742 | Deutsch | Oct 1978 | A |
4151368 | Fricke et al. | Apr 1979 | A |
4182213 | Iodice | Jan 1980 | A |
4274321 | Swartz | Jun 1981 | A |
4318327 | Toups | Mar 1982 | A |
4365533 | Clark, Jr. et al. | Dec 1982 | A |
4563933 | Kim | Jan 1986 | A |
4570149 | Thornburg et al. | Feb 1986 | A |
4658690 | Aitken et al. | Apr 1987 | A |
4686332 | Greanias et al. | Aug 1987 | A |
4702141 | Bonanno | Oct 1987 | A |
4748676 | Miyagawa et al. | May 1988 | A |
4781099 | Koike | Nov 1988 | A |
4794838 | Corrigau, III | Jan 1989 | A |
4797608 | White | Jan 1989 | A |
4852444 | Hoover et al. | Aug 1989 | A |
4899137 | Behrens et al. | Feb 1990 | A |
4915005 | Shaffer et al. | Apr 1990 | A |
4974599 | Suzuki | Dec 1990 | A |
4988981 | Zimmerman et al. | Jan 1991 | A |
4991488 | Fala et al. | Feb 1991 | A |
5033352 | Kellogg et al. | Jul 1991 | A |
5045687 | Gurner | Sep 1991 | A |
5070399 | Martel | Dec 1991 | A |
5095799 | Wallace et al. | Mar 1992 | A |
5146833 | Lui | Sep 1992 | A |
5159140 | Kimpara et al. | Oct 1992 | A |
5168531 | Sigel | Dec 1992 | A |
5194862 | Edwards | Mar 1993 | A |
5203704 | McCloud | Apr 1993 | A |
5214615 | Bauer | May 1993 | A |
5218160 | Grob-Da Veiga | Jun 1993 | A |
5233123 | Rose et al. | Aug 1993 | A |
5237647 | Roberts et al. | Aug 1993 | A |
5262585 | Greene et al. | Nov 1993 | A |
5270711 | Knapp | Dec 1993 | A |
5281754 | Farrett et al. | Jan 1994 | A |
5292999 | Tumura | Mar 1994 | A |
5341133 | Savoy et al. | Aug 1994 | A |
5342054 | Chang et al. | Aug 1994 | A |
5347295 | Aguinick et al. | Sep 1994 | A |
5347477 | Lee | Sep 1994 | A |
5357048 | Sgroi | Oct 1994 | A |
5378850 | Tumura | Jan 1995 | A |
5386219 | Greanias et al. | Jan 1995 | A |
5389730 | Wachi | Feb 1995 | A |
5394784 | Pierce et al. | Mar 1995 | A |
5404458 | Zetts | Apr 1995 | A |
5408914 | Breitweiser, Jr. et al. | Apr 1995 | A |
5420936 | Fitzpatrick et al. | May 1995 | A |
5440072 | Willis | Aug 1995 | A |
5442168 | Gurner et al. | Aug 1995 | A |
5454043 | Freeman | Sep 1995 | A |
5459282 | Willis | Oct 1995 | A |
5471008 | Fujita et al. | Nov 1995 | A |
5475214 | DeFranco et al. | Dec 1995 | A |
5483261 | Yasutake | Jan 1996 | A |
5512490 | Walt et al. | Apr 1996 | A |
5531227 | Schneider | Jul 1996 | A |
5540133 | Draper et al. | Jul 1996 | A |
5543591 | Gillespie et al. | Aug 1996 | A |
5565641 | Gruenbaum | Oct 1996 | A |
5585588 | Tumura | Dec 1996 | A |
5592572 | Le | Jan 1997 | A |
5592752 | Fu et al. | Jan 1997 | A |
5594469 | Freeman et al. | Jan 1997 | A |
5596697 | Foster et al. | Jan 1997 | A |
5598208 | McClintock | Jan 1997 | A |
5604323 | Hardie-bick | Feb 1997 | A |
5617855 | Waletzky et al. | Apr 1997 | A |
5621438 | Kamimura et al. | Apr 1997 | A |
5625704 | Prasad | Apr 1997 | A |
5659145 | Weil | Aug 1997 | A |
5659466 | Norris et al. | Aug 1997 | A |
5659625 | Marquardt | Aug 1997 | A |
5662111 | Cosman | Sep 1997 | A |
5665927 | Taki et al. | Sep 1997 | A |
5668338 | Hewitt et al. | Sep 1997 | A |
5675100 | Hewlett | Oct 1997 | A |
5703303 | Stewart | Dec 1997 | A |
5717939 | Bricklin et al. | Feb 1998 | A |
5719347 | Masubuchi et al. | Feb 1998 | A |
5719561 | Gonzales | Feb 1998 | A |
5724985 | Snell et al. | Mar 1998 | A |
5741993 | Kushimiya | Apr 1998 | A |
5744742 | Lindemann et al. | Apr 1998 | A |
5748184 | Shieh | May 1998 | A |
5763806 | Willis | Jun 1998 | A |
5777605 | Yoshinobu et al. | Jul 1998 | A |
5786540 | Westlund | Jul 1998 | A |
5796025 | Haake | Aug 1998 | A |
5801340 | Peter | Sep 1998 | A |
5805137 | Yasutake | Sep 1998 | A |
5808605 | Shieh | Sep 1998 | A |
5824930 | Ura et al. | Oct 1998 | A |
5825352 | Bisset et al. | Oct 1998 | A |
5827989 | Fay et al. | Oct 1998 | A |
5841428 | Jaeger et al. | Nov 1998 | A |
5844547 | Minakuchi et al. | Dec 1998 | A |
5850051 | Machover et al. | Dec 1998 | A |
5852251 | Su et al. | Dec 1998 | A |
5870083 | Shieh | Feb 1999 | A |
5889236 | Gillespie et al. | Mar 1999 | A |
5907115 | Matsunaga et al. | May 1999 | A |
5932827 | Osbourne et al. | Aug 1999 | A |
5943052 | Allen et al. | Aug 1999 | A |
5969283 | Looney et al. | Oct 1999 | A |
5977466 | Muramatsu | Nov 1999 | A |
5981859 | Suzuki | Nov 1999 | A |
5981860 | Isozaki et al. | Nov 1999 | A |
5982302 | Ure | Nov 1999 | A |
5986201 | Starr et al. | Nov 1999 | A |
5986224 | Kent | Nov 1999 | A |
6002808 | Freeman | Dec 1999 | A |
6005545 | Nishida et al. | Dec 1999 | A |
6018118 | Smith et al. | Jan 2000 | A |
6037937 | Beaton et al. | Mar 2000 | A |
6047073 | Norris et al. | Apr 2000 | A |
6049327 | Walker et al. | Apr 2000 | A |
6051769 | Brown | Apr 2000 | A |
6066794 | Longo | May 2000 | A |
6069326 | Henson et al. | May 2000 | A |
6071193 | Suzuoki | Jun 2000 | A |
6087570 | Sherlock | Jul 2000 | A |
6091012 | Takahashi | Jul 2000 | A |
6100461 | Hewitt | Aug 2000 | A |
6104317 | Panagrossi | Aug 2000 | A |
6107997 | Ure | Aug 2000 | A |
6128003 | Smith et al. | Oct 2000 | A |
6137479 | Olsen et al. | Oct 2000 | A |
6140565 | Yamauchi et al. | Oct 2000 | A |
6188776 | Covell et al. | Feb 2001 | B1 |
6195104 | Lyons | Feb 2001 | B1 |
6204441 | Asahi et al. | Mar 2001 | B1 |
6225975 | Furuki et al. | May 2001 | B1 |
6256046 | Waters et al. | Jul 2001 | B1 |
6278443 | Amro et al. | Aug 2001 | B1 |
6285358 | Roberts | Sep 2001 | B1 |
6288317 | Willis | Sep 2001 | B1 |
6292690 | Petrucelli et al. | Sep 2001 | B1 |
6310219 | Sawaki et al. | Oct 2001 | B1 |
6310279 | Suzuki et al. | Oct 2001 | B1 |
6310610 | Beaton et al. | Oct 2001 | B1 |
6320112 | Lotze | Nov 2001 | B1 |
6323846 | Westerman et al. | Nov 2001 | B1 |
6335861 | Ramsey, III et al. | Jan 2002 | B1 |
6360019 | Chaddha | Mar 2002 | B1 |
6362411 | Suzuki et al. | Mar 2002 | B1 |
6363159 | Rhoads | Mar 2002 | B1 |
6373475 | Challis | Apr 2002 | B1 |
6392636 | Ferrari et al. | May 2002 | B1 |
6392705 | Chaddha | May 2002 | B1 |
6400836 | Senior | Jun 2002 | B2 |
6404898 | Rhoads | Jun 2002 | B1 |
6408087 | Kramer | Jun 2002 | B1 |
6433801 | Moon et al. | Aug 2002 | B1 |
6509847 | Anderson | Jan 2003 | B1 |
6570078 | Ludwig | May 2003 | B2 |
6610917 | Ludwig | Aug 2003 | B2 |
6703552 | Haken | Mar 2004 | B2 |
6753466 | Lee | Jun 2004 | B1 |
6793619 | Blumental | Sep 2004 | B1 |
6798427 | Suzuki et al. | Sep 2004 | B1 |
6835887 | Devecka | Dec 2004 | B2 |
6888057 | Juszkiewicz et al. | May 2005 | B2 |
6920619 | Milekic | Jul 2005 | B1 |
7030860 | Hsu et al. | Apr 2006 | B1 |
7176373 | Longo | Feb 2007 | B1 |
7309829 | Ludwig | Dec 2007 | B1 |
7408108 | Ludwig | Aug 2008 | B2 |
7557797 | Ludwig | Jul 2009 | B2 |
7598949 | Han | Oct 2009 | B2 |
7611409 | Muir et al. | Nov 2009 | B2 |
7812828 | Westerman et al. | Oct 2010 | B2 |
7936341 | Weiss | May 2011 | B2 |
8049730 | Joquet et al. | Nov 2011 | B2 |
8154529 | Sleeman et al. | Apr 2012 | B2 |
8169414 | Lim | May 2012 | B2 |
8170346 | Ludwig | May 2012 | B2 |
8179376 | Griffin | May 2012 | B2 |
8345014 | Lim | Jan 2013 | B2 |
20010012000 | Eberhard | Aug 2001 | A1 |
20010036299 | Senior | Nov 2001 | A1 |
20020005108 | Ludwig | Jan 2002 | A1 |
20020005111 | Ludwig | Jan 2002 | A1 |
20020088337 | Devecka | Jul 2002 | A1 |
20020093491 | Gillespie et al. | Jul 2002 | A1 |
20030003976 | Mura | Jan 2003 | A1 |
20030151592 | Ritter | Aug 2003 | A1 |
20030188627 | Longo | Oct 2003 | A1 |
20040074379 | Ludwig | Apr 2004 | A1 |
20040118268 | Ludwig | Jun 2004 | A1 |
20040245438 | Payne | Dec 2004 | A1 |
20040251402 | Reime | Dec 2004 | A1 |
20050078085 | Casebolt et al. | Apr 2005 | A1 |
20050120870 | Ludwig | Jun 2005 | A1 |
20050179651 | Ludwig | Aug 2005 | A1 |
20060086896 | Han | Apr 2006 | A1 |
20060250353 | Yasutake | Nov 2006 | A1 |
20060252530 | Oberberger et al. | Nov 2006 | A1 |
20060267957 | Kolmykov-Zotov et al. | Nov 2006 | A1 |
20060278068 | Nielsen et al. | Dec 2006 | A1 |
20070044019 | Moon | Feb 2007 | A1 |
20070063990 | Park et al. | Mar 2007 | A1 |
20070216641 | Young et al. | Sep 2007 | A1 |
20070229477 | Ludwig | Oct 2007 | A1 |
20070236477 | Ryu et al. | Oct 2007 | A1 |
20070291009 | Wright et al. | Dec 2007 | A1 |
20080001925 | XiaoPing | Jan 2008 | A1 |
20080010616 | Algreatly | Jan 2008 | A1 |
20080012832 | GuangHai | Jan 2008 | A1 |
20080034286 | Selby | Feb 2008 | A1 |
20080036743 | Westerman et al. | Feb 2008 | A1 |
20080055263 | Lemay et al. | Mar 2008 | A1 |
20080091453 | Meehan et al. | Apr 2008 | A1 |
20080122796 | Jobs et al. | May 2008 | A1 |
20080143690 | Jang et al. | Jun 2008 | A1 |
20080158146 | Westerman | Jul 2008 | A1 |
20080158172 | Hotelling et al. | Jul 2008 | A1 |
20080158185 | Westerman | Jul 2008 | A1 |
20080164076 | Orsley | Jul 2008 | A1 |
20080168403 | Westerman et al. | Jul 2008 | A1 |
20080259053 | Newton | Oct 2008 | A1 |
20080297482 | Weiss | Dec 2008 | A1 |
20080300055 | Lutnick et al. | Dec 2008 | A1 |
20080309634 | Hotelling et al. | Dec 2008 | A1 |
20090002333 | Maxwell et al. | Jan 2009 | A1 |
20090006292 | Block | Jan 2009 | A1 |
20090019996 | Fujishima et al. | Jan 2009 | A1 |
20090027351 | Zhang et al. | Jan 2009 | A1 |
20090051659 | Mickelborough | Feb 2009 | A1 |
20090124348 | Yoseloff et al. | May 2009 | A1 |
20090146968 | Narita et al. | Jun 2009 | A1 |
20090167701 | Ronkainen | Jul 2009 | A1 |
20090254869 | Ludwig et al. | Oct 2009 | A1 |
20100013860 | Mandella et al. | Jan 2010 | A1 |
20100044121 | Simon et al. | Feb 2010 | A1 |
20100060607 | Ludwig | Mar 2010 | A1 |
20100073318 | Hu et al. | Mar 2010 | A1 |
20100079385 | Holmgren et al. | Apr 2010 | A1 |
20100079405 | Bernstein | Apr 2010 | A1 |
20100087241 | Nguyen et al. | Apr 2010 | A1 |
20100090963 | Dubs et al. | Apr 2010 | A1 |
20100110025 | Lim | May 2010 | A1 |
20100117978 | Shirado | May 2010 | A1 |
20100177118 | Sytnikov et al. | Jul 2010 | A1 |
20100231612 | Chaudhri et al. | Sep 2010 | A1 |
20100232710 | Ludwig | Sep 2010 | A1 |
20100289754 | Sleeman et al. | Nov 2010 | A1 |
20100302172 | Wilairat | Dec 2010 | A1 |
20100315337 | Ferren et al. | Dec 2010 | A1 |
20100328032 | Rofougaran | Dec 2010 | A1 |
20110007000 | Lim | Jan 2011 | A1 |
20110037735 | Land et al. | Feb 2011 | A1 |
20110057953 | Horodezky | Mar 2011 | A1 |
20110063251 | Geaghan et al. | Mar 2011 | A1 |
20110066984 | Li | Mar 2011 | A1 |
20110084928 | Chang et al. | Apr 2011 | A1 |
20110086706 | Zalewski | Apr 2011 | A1 |
20110170745 | Chen et al. | Jul 2011 | A1 |
20110202889 | Ludwig | Aug 2011 | A1 |
20110202934 | Ludwig | Aug 2011 | A1 |
20110260998 | Ludwig | Oct 2011 | A1 |
20110261049 | Cardno et al. | Oct 2011 | A1 |
20110285648 | Simon | Nov 2011 | A1 |
20120007821 | Zaliva | Jan 2012 | A1 |
20120034978 | Lim | Feb 2012 | A1 |
20120050185 | Davydov et al. | Mar 2012 | A1 |
20120056846 | Zaliva | Mar 2012 | A1 |
20120106782 | Nathan et al. | May 2012 | A1 |
20120108323 | Kelly et al. | May 2012 | A1 |
20120133484 | Griffin | May 2012 | A1 |
20120192119 | Zaliva | Jul 2012 | A1 |
20120194461 | Lim | Aug 2012 | A1 |
20120194462 | Lim | Aug 2012 | A1 |
20120195522 | Ludwig | Aug 2012 | A1 |
20120223903 | Ludwig | Sep 2012 | A1 |
20120235940 | Ludwig | Sep 2012 | A1 |
20120262401 | Rofougaran | Oct 2012 | A1 |
20120280927 | Ludwig | Nov 2012 | A1 |
20120317521 | Ludwig | Dec 2012 | A1 |
20130004016 | Karakotsios et al. | Jan 2013 | A1 |
20130009896 | Zaliva | Jan 2013 | A1 |
20130038554 | West | Feb 2013 | A1 |
Number | Date | Country |
---|---|---|
0609021 | Aug 1994 | EP |
0689122 | Dec 1995 | EP |
0574213 | Mar 1999 | EP |
0880091 | Jan 2004 | EP |
8-76926 | Mar 1996 | JP |
09-231004 | Sep 1997 | JP |
11-119911 | Apr 1999 | JP |
Entry |
---|
USPTO Non-Final Office Action dated Jan. 23, 2012 issued in U.S. Appl. No. 12/418,605, filed Apr. 5, 2009. |
Pilu,M., et al., Training PDMs on models: The Case of Deformable Superellipses, Proceedings of the 7th British Machine Vision Conference, Edinburgh, Scotland, 1996, pp. 373-382, [online] [retrieved on Feb. 28, 2011] URL:https://docs.google.com/viewera=v&pid=explorer&chrome=true&srcid=0BxWzm3JBPnPmNDI1MDIxZGUtNGZhZi00NzJhLWFhZDMtNTJmYmRiMWYyMjBh&authkey=CPeVx4wO&hl=en. |
Polynomial regression, [online] [retrieved on May 12, 2013] http://en.wikipedia.org/wiki/Polynomial-regression, Jul. 24, 2010, 4 pgs. |
Prabhakar S., et al., “Learning fingerprint minutiae location and type,” http://www.cse.msu.edu/biometrics/Publications/Fingerprint/PrabhakarJainPankanti-MinaLocType-PR03.pdf, Pattern Recognition 36 (8), 1847-1857. |
Pressure Profile Systems, Jan. 29, 2011, [online] [retrieved on Jan. 29, 2011] URL: http://www.pressureprofile.com, 1 pg. Principal component analysis, [online] [retrieved on Jun. 26, 2013] URL: http://en.wikipedia.org/wiki/Principal-component-analysis, Feb. 25, 2011, 9 pgs. |
“Prewitt,” http://en.wikipedia.org/wiki/Prewitt, Mar. 15, 2010, visited Feb. 28, 2011. Prewitt, [online] [retrieved on May 12, 2013] URL: http://en.wikipedia.org/wiki/Prewitt, Mar. 15, 2010, visited Feb. 28, 2011, 2 pgs. |
Rekimoto, Jun, “Pick-and-Drop: A Direct Manipulation Technique for Multiple Computer Environments,” Sony Computer Science Laboratory Inc., Tokyo, Japan, 1997, http://www.sonycsl.co.jp/person/rekimoto/papers/uist97.pdf, last retrieved on May 30, 2013. |
Review of KORG X-230 Drum (later called “Wave Drum”), Electronic Musician, Apr. 1994, 1 pg. |
Reyes, E., An Automatic Goodness Index to Measure Fingerprint Minutiae Quality, Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science vol. 3773, 2005, pp. 578-585. |
Rich, Robert “Buchla Lightning MIDI Controller”, Electronic Musician, Oct. 1991. |
Rich, Robert “Buchla Thunder”, Electronic Musician, Aug. 1990. |
Roberts Cross, [online] [retrieved on May 12, 2013] URL: http://en.wikipedia.org/wiki/Roberts-Cross, Jul. 20, 2010, visited Feb. 28, 2011, 3 pgs. |
Ronse, Christian and Devijver, Pierre A., Connected Components in Binary Images: the Detection Problem, Research Studies Press/ John Wiley & Sons Inc. New York, 1984. |
“Sensor Products LLC—Tactile Surface Pressure and Force Sensors,” Oct. 26, 2006, http://www.sensorprod.com. |
Shapiro, L .S., Affine Analysis of Image Sequences, Cambridge University Press, 1995, 25 pgs. |
Snell, J. M., Sensors for Playing Computer Music with Expression, Proceedings of the Intl. Computer Music Conf. at Eastman, 1983, pp. 113-126. |
Sobel Operator, [online] [retrieved on May 12, 2013] URL: http://en.wikipedia.org/wiki/Sobel-operator, Mar. 12, 2010, visited Feb. 28, 2011, 5 pgs. |
Synaptics, Jan. 28, 2011, [online] [retrieved on May 12, 2013] URL: http://www.synaptics.com, 1 pg. |
Tactile Pressure Measurement, Pressure Mapping Systems, and Force Sensors and Measurement Systems, [online] [retrieved on Aug. 6, 2013] URL: http://www.tekscan.com, 2 pgs. |
Tactile Surface Pressure and Force Sensors,Sensor Products LLC, Oct. 26, 2006, [online] [retrieved on Aug. 6, 2013] URL: http://www.sensorprod.com, 2 pgs. |
Turner, J., Myron Krueger Live, ctheory.net, [online] [retrieved on Nov. 19, 2013] http://www.ctheory.net/articles.aspx?id=328, Jan. 23, 2002, 8 pgs. |
Venolia, D., et al., T-Cube: A Fast, Self-Disclosing Pen-Based Alphabet, CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Apr. 24-28, 1994, pp. 265-270. |
VeriFinger Information, [online] [retrieved on Jun. 11, 2013] URL: http://www.fingerprint-it.com/-sol-verifinger.html, 2 pgs. |
Verner J., Artif Starr Switch Company Ztar 624-D, Electronic Musician, Nov. 1994, 5 pgs. |
Viberg, M., Subspace Fitting Concepts in Sensor Array Processing, Linkoping Studies in Science and Technology Dissertations No. 217, 1989, Dept. of Electrical Engineering, Linkoping University, Linkoping, Sweden, 15 pgs. |
Videoplace, [online] [retrieved on Nov. 19, 2013] URL: http://en.wikipedia.org/Videoplace, last updated Sep. 3, 2013, 1 pg. |
Walker, G., Touch and the Apple iPhone, Veritas et Visus, [online] [retrieved on May 12, 2013] URL: http://www.veritasetvisus.com/VVTP-12,%20Walker.pdf, Feb. 2007, pp. 50-54. |
Want, R., et al., The PARCTAB ubiquitous computing experiment, 1995-1996, [online] [retrieved on Jun. 10, 2013] URL: http://www.ece.rutgers.edu/˜parashar/Classes/02-03/ece572/perv-reading/the-parctab-ubiquitous-computing.pdf, 44 pgs. |
Wilson, T.V., How the iPhone Works, howstuffworks, [online] [retrieved on May 12, 2013] URL: http://electronics.howstuffworks.com/iphone2.htm, Jan. 8, 2011, 11 pgs. |
Wu, Y., et al., Vision-Based Gesture Recognition: A Review, Lecture Notes in Computer Science, Gesture Workshop, 1999, 12 pgs, [online] [retrieved May 21, 2014] URL: http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CC0QFjAA&url=http%3A%2F%2Fwww.ece.northwestern.edu%2F˜yingwu%2Fpapers%2Fconference%2F1999%2Fgw99.pdf&ei=DSJ9U7EFyryhBJfKgsAN&usg=AFQCNFLIko3GnUOZbQQ5dLr8WsXQSE3Fg&bvm=bv.67651124,d.cGU. |
Xsensor Technology Corporation, Feb. 7, 2011, [online] [retrieved on May 12, 2013] URL: http://www.xsensor.com, 1 pg. |
Davis, R. C., et al., NotePals: Lightweight Note Taking by the Group, for the Group, University of California, Berkeley, Computer Science Division, 1998, 8 pgs. |
Feb. 27, 2014 USPTO Non-Final Office Action in U.S. Appl. No. 13/038,365. |
Buxton, Bill, Multi-Touch Systems That I Have Known and Loved, http://www.billbuxton.com/multitouchOverview.html, Jun. 12, 2014. |
Hauptmann, Alexander G., Speech and Gestures for Graphic Image Manipulation, Dept. of Computer Science, Carnegie Mellon University, 1989. |
Hauptmann, Alexander G.; McAvinney, Paul; Shepard, Sharon R., Gesture Analysis for Graphic Manipulation, Carnegie Mellon University Research Showcase @CMU, 1988. |
Minsky, Margaret R., Manipulating Simulated Objects with Real-world Gestures using a Force and Position Sensitive Screen, Atari Cambridge Research, MIT, Jul. 1984. |
Rubine, Dean and McAvinney, Paul, Programmable Finger-tracking Instrument Controllers, The MIT Press, Computer Music Journal, vol. 14, No. 1, Spring 1990. |
Rubine, Dean Harris, The Automatic Recognition of Gestures, CMU-CS-91-202, Dec. 1991. |
Rubine, Dean, Combining Gestures and Direct Manipulation, Information Technology Center, Carnegie Mellon University, May 3-7, 1992. |
Rubine, Dean, Specifying Gestures by Example, Information Technology Center, Carnegie Mellon University, Computer Graphics, vol. 25, No. 4, Jul. 1991. |
Westerman, Wayne, Hand Tracking, Finger Identification, and Chordic Manipulation on a Multi-Touch Surface, Spring 1999. |
Jan. 4, 2013 USPTO Office Action (U.S. Appl. No. 13/549,285)—Our Matter 5308. |
Oct. 8, 2013 USPTO Office Action (U.S. Appl. No. 11/761,978)—Our Matter 5306. |
Oct. 16, 2014 USPTO Office Action (U.S. Appl. No. 14/292,770)—Our Matter 5317. |
Nov. 10, 2011 USPTO Office Action (U.S. Appl. No. 11/761,978)—Our Matter 5306. |
Dec. 10, 2010 USPTO Office Action (U.S. Appl. No. 11/761,978)—Our Matter 5306. |
Dec. 20, 2013 USPTO Office Action (U.S. Appl. No. 13/794,138)—Our Matter 5311. |
Feb. 5, 2013 USPTO Office Action (U.S. Appl. No. 13/470,725)—Our Matter 5309. |
Feb. 26, 2014 USPTO Office Action (U.S. Appl. No. 14/141,257)—Our Matter 5312. |
Feb. 26, 2014 USPTO Office Action (U.S. Appl. No. 14/141,297)—Our Matter 5313. |
Feb. 9, 2015 USPTO Office Action (U.S. Appl. No. 11/004,449)—Our Matter 5321. |
Mar. 14, 2014 USPTO Office Action (U.S. Appl. No. 14/160,505)—Our Matter 5307. |
Mar. 11, 2014 USPTO Office Action (U.S. Appl. No. 14/141,328)—Our Matter 5314. |
Mar. 13, 2014 USPTO Office Action (U.S. Appl. No. 14/160,511)—Our Matter 5315. |
Mar. 22, 2010 USPTO Office Action (U.S. Appl. No. 11/761,978)—Our Matter 5306. |
Apr. 10, 2014 USPTO Office Action (U.S. Appl. No. 13/794,138)—Our Matter 5311. |
May 22, 2014 USPTO Office Action (U.S. Appl. No. 14/229,681)—Our Matter 5318. |
Jun. 17, 2013 USPTO Office Action (U.S. Appl. No. 13/794,138)—Our Matter 5311. |
Jun. 20, 2011 USPTO Office Action (U.S. Appl. No. 11/761,978)—Our Matter 5306. |
Jul. 15, 2013 USPTO Office Action (U.S. Appl. No. 13/470,725)—Our Matter 5309. |
Jul. 15, 2013 USPTO Office Action (U.S. Appl. No. 13/549,285)—Our Matter 5308. |
Jul. 2, 2014 USPTO Office Action (U.S. Appl. No. 14/141,257)—Our Matter 5312. |
Jul. 24, 2014 USPTO Office Action (U.S. Appl. No. 14/141,328)—Our Matter 5314. |
Jul. 25, 2014 USPTO Office Action (U.S. Appl. No. 14/292,770)—Our Matter 5317. |
Sep. 13, 2012 USPTO Office Action (U.S. Appl. No. 13/549,285)—Our Matter 5308. |
Sep. 26, 2014 USPTO Office Action (U.S. Appl. No. 14/229,681)—Our Matter 5318. |
Sep. 30, 2013 USPTO Office Action (U.S. Appl. No. 13/794,138)—Our Matter 5311. |
USPTO Notice of Allowance dated Dec. 24, 2002 issued in U.S. Appl. No. 09/812,870, filed Mar. 19, 2001. |
USPTO Non-Final Office Action Dated Feb. 27, 2014, in U.S. Appl. No. 13/038,365. |
USPTO Notice of Allowance dated Jan. 10, 2008 issued in U.S. Appl. No. 10/683,914, filed Oct. 10, 2003. |
USPTO Notice of Allowance dated Feb. 10, 2014 issued in U.S. Appl. No. 13/180,512, filed Jul. 11, 2011. |
USPTO Notice of Allowance dated Mar. 12, 2012 issued in U.S. Appl. No. 12/511,930, filed Jul. 29, 2009. |
USPTO Notice of Allowance dated Mar. 20, 2012 issued in U.S. Appl. No. 12/724,413, filed Mar. 15, 2010. |
USPTO Notice of Allowance dated May 8, 2013 issued in U.S. Appl. No. 12/541,948, filed Aug. 15, 2009. |
USPTO Notice of Allowance dated May 16, 2013 issued in U.S. Appl. No. 13/441,842, filed Apr. 7, 2012. |
USPTO Notice of Allowance dated May 24, 2013 issued in U.S. Appl. No. 13/442,815, filed Apr. 9, 2012. |
USPTO Notice of Allowance dated May 30, 2013 issued in U.S. Appl. No. 13/442,806, filed Apr. 9, 2012. |
USPTO Notice of Allowance dated Sep. 13, 2013 issued in U.S. Appl. No. 13/846,830, filed Mar. 18, 2013. |
USPTO Notice of Allowance dated Jun. 20, 2014 issued in U.S. Appl. No. 14/141,297, filed Dec. 26, 2013. |
USPTO Notice of Allowance dated Dec. 26, 2013 issued in U.S. Appl. No. 13/549,285, filed Jul. 13, 2012. |
USPTO Notice of Allowance dated Sep. 11, 2013 issued in U.S. Appl. No. 13/786,265, filed Mar. 5, 2013. |
USPTO Notice of Allowance dated Sep. 18, 2013 issued in U.S. Appl. No. 13/786,346, filed Mar. 5, 2013. |
USPTO Notice of Allowance dated Nov. 9, 2012 issued in U.S. Appl. No. 12/502,230, filed Jul. 13, 2009. |
USPTO Notice of Allowance dated Dec. 6, 2013 issued in U.S. Appl. No. 13/731,946, filed Dec. 31, 2012. |
USPTO Notice of Allowance dated Dec. 19, 2013 issued in U.S. Appl. No. 11/761,978, filed Jun. 12, 2007. |
Artmuseum.net, Pioneers, Myron Krueger, Responsive 1970, [online] [retrieved on Nov. 19, 2013] URL: http://web.archive.org/web/20070929094921/http://www.artmuseum.net/w2vr/timeline/Krueger.html, Sep. 29, 2007, 1 pg. |
Balda AG, Feb. 26, 2011, [online] [retrieved on May 12, 2013] URL: http://www.balda.de, 1 pg. “Balda AG,” Feb. 26, 2011, http://www.balda.de. |
Alonso-Fernandez, F., et al., Fingerprint Recognition, Chapter 4, Guide to Biometric Reference Systems and Performance Evaluation, (Springer, London, 2009, pp. 51-90, [online] [retrieved on Jun. 2, 2013] URL: http://www2.hh.se/staff/josef/public/publications/alonso-fernandez09chapter.pdf. |
Bishop, C.M., Pattern Recognition and Machine Learning, Springer New York, 2006, pp. 561-593. |
Bormans, J., MPEG-4 Systems Need Specialized CPUs, EE Times, Jan. 25, 1999, [retrieved Sep. 5, 2013] URL: http://www.eetimes.com/document.asp?doc-id=1224500, 2 pgs. |
Buxton, W. A. S., Two-Handed Document Navigation, Xerox Disclosure Journal, 19(2), Mar./Apr. 1994 [online] URL: http://www.billbuxton.com/2Hnavigation.html, pp. 103-108. |
Canny edge detector, [online] [retrieved on May 12, 2013] http://en.wikipedia.org/wiki/Canny-edge-detector, Mar. 5, 2010, 4 pgs. |
Central Moment, Dec. 16, 2009, [online] [retrieved on Oct. 26, 2010] URL: http://en.wikipedia.org/w/index.php?title=Central-moment&oldid=332048374. |
Cipolla, R., et al., Computer Vision for Human-Machine Interaction, Cambridge University Press, 1988, pp. 23-51, 97-122, 135-153, 191-265, 291-311. |
Coefficient of variation, [online] [retrieved on May 12, 2013] URL: http://en.wikipedia.org/wiki/Coefficient-of-variation, Feb. 15, 2010, visited Feb. 28, 2011, 2 pgs. |
Cypress Semiconductor, Feb. 28, 2011, [online] [retrieved on May 12, 2013] URL: http://www.cypress.com, 1 pg. |
Dario P., et al., Tactile sensors and the gripping challenge, IEEE Spectrum, vol. 5, No. 22, Aug. 1985, pp. 46-52. |
Davis, R. C., et al., NotePals: Lightweight Note Sharing by the Group, for the Group, [online] [retrieved on Jun. 2, 2013] URL: http://dub.washington.edu:2007/projects/notepals/pubs/notepals-chi99-final.pdf, 9 pgs. |
Digiose, N., Biometric Touchscreen Recognizes Your Fingerprints, Hearst Electronic Products, Jul. 24, 2013, [online] [retreived on Jul. 31, 2013] URL: http://www.electronicproducts.com/Sensors-and-Transducers/Sensors-and-Transducers/Biometric-Touchscreen-Recognizes-Your-Fingerprints.aspx. |
DIY Touchscreen Analysis, MOTO, [online] [retrieved on May 12, 2013] URL: http://labs.moto.com/diy-touchscreen-analysis/, Jul. 15, 2010, 23 pgs. |
Dulberg, M. S., et al. An Imprecise Mouse Gesture for the Fast Activation of Controls, IOS Press, Aug. 1999, [online] [retrieved on Jul. 9, 2013] URL: http://www.csc.ncsu.edu/faculty/stamant/papers/interact.pdf.gz, 10 pgs. |
Electronic Statistics Textbook, StatSoft, Inc., 2011, [online] [retrieved on Jul. 1, 2011] URL: http://www.statsoft.com/textbook, 1 pg. |
Pavlovic, V. I., et al., Visual Interpretation of Hand Gestures of Human-Computer Interacton: A Review, IIEE Transactions on Pattern Analysis and Machine Intelligence, Jul. 1987, 19(7), pp. 677-695. |
Euler Angles, 2011, [online] [retrieved on Jun. 30, 2011] URL: http://en.wikipedia.org/w/index.php?title=Euler-angles&oldid=436460926, 8 pgs. |
Fang, Y., et al., Dynamics of a Winner-Take-All Neural Network, Neural Networks, 9(7), Oct. 1996, pp. 1141-1154. |
Garcia Reyes, E., An Automatic Goodness Index to Measure Fingerprint Minutiae Quality, Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science vol. 3773, 2005, pp. 578-585, [online] [retrieved on Jun. 2, 2013] URL: http://www.researchgate.net/publication/226946511-An-Automatic-Goodness-Index-to-Measure-Fingerprint-Minutiae-Quality/file/ d912f50ba5e96320d5.pdf. |
Otsu's method, [online] [retrieved on Jun. 26, 2013] URL: http://en.wikipedia.org/wiki/Otsu-method, Sep. 13, 2010, 2 pgs. |
Haken, L., An Indiscrete Music Keyboard, Computer Music Journal, Spring 1998, pp. 30-48. |
Han, J., Multi-Touch Sensing through LED Matrix Displays (video), [online] [retrieved on May 12, 2013] “http://cs.nyu.edu/˜jhan/ledtouch/index.html,” Feb. 18, 2011, 1 pg. |
Hara, Y., Matsushita demos multilayer MPEG-4 compression, Electronic Engineering times, Apr. 19, 1999, 1 pg. |
Hernandez-Leon, R., et al., Classifying using Specific Rules with High Confidence, 9th Mexican International Conference on Artificial Intelligence, IEEE, Nov. 2010, pp. 75-80. |
Holz, C., et al., Fiberio: A Touchscreen that Senses Fingerprints, Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology (UIST '13), Oct. 8-11, 2013, 5 pgs. [Jun. 11, 2014] [online] URL: http://www.christianholz.net/fiberio.html. |
Hough transform, [online] [retrieved on Feb. 13, 2010] URL: http://en.wikipedia.org/wiki/Hough-transform, Feb. 13, 2010, 7 pgs. |
Igel, C., et al., Improving the Rprop Learning Algorithm, Proceedings of the Second International ICSC Symposium on Neural Computation (NC 2000), 2000, [online] [retrieved on Jun. 2, 2013] URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.17.3899&rep=rep1&type=pdf, pp. 115-121. |
Johnson, C., Image sensor tracks moving objects in hardware, Electronic Engineering Times, Apr. 5, 1999, 1 pg. |
Johnson, Colin “Computer program recognizes facial expressions”, Electronic Engineering Times, Apr. 12, 1999. |
Kaoss pad dynamic effect/controller, Korg Proview Users' magazine Summer 1999, 2 pgs. |
Kayaoglu, M., et al., Standard Fingerprint Databases: Manual Minutiae Labeling and Matcher Performance Analyses, arXiv preprint arXiv:1305.1443, 2013, 14 pgs, [online] [retrieved on Jun. 2, 2013] URL: http://arxiv.org/ftp/arxiv/papers/1305/1305.1443.pdf. |
Krueger, M. W., ACM Siggraph Touchware, Pioneers, [online] [retrieved on Nov. 19, 2013] URL: http://www.siggraph.org/artdesign/gallery/S98/pione/pione3/krueger.html, last updated 1999, 1 pg. |
Krueger, M., Artmuseum.net, Pioneers, Responsive 1970, [online] [retrieved on Nov. 19, 2013] URL: http://web.archive.org/web/20070929094921/http://www.artmuseum.net/w2vr/timeline/Krueger.html, Sep. 29, 2007, 1 pg. |
Leiberman, D., Touch screens extend grasp Into consumer realm, Electronic Engineering Times, Feb. 8, 1999. |
“Lim, Agrawal, and Nekludova” “A Fast Parallel Algorithm for Labelling Connected Components in Image Arrays” “, Technical Report Series, No. NA86-2, Thinking Machines Corp., 1986 (rev. 1987),Cambridge, Mass., USA.”. |
Lippold Haken, “An Indiscrete Music Keyboard,” Computer Music Journal, Spring 1998, pp. 30-48. |
Local regression, Nov. 16, 2010, [online] [retrieved on Jun. 28, 2011] URL: http://en.wikipedia.org/w/index.php?title=Local-regression&oldid=416762287. |
Marks, P., Biometric Touchscreen Recognises Prints for First Time, New Scientist, Jul. 17, 2013, Issue 2926, 3 pgs. [online] [retrieved Jun. 11, 2013] URL: http://www.newscientist.com/article/mg21929266.300?full=true&print=true#.U5n1uBA9WHN. |
Moog, R. A., The Human Finger—A Versatile Electronic Music Instrument Component, Audio Engineering Society Preprint, 1977, New York, NY, 4 pgs. |
Pennywitt, Kirk “Robotic Tactile Sensing,” Byte, Jan. 1986. |
Moyle, Michael, et al. “A Flick in the Right Direction: A Case Study of Gestural Input.” Conferences in Research and Practice in Information Technology, vol. 18, Jan. 2005; New Zealand. |
Nguyen, N., et al., Comparisons of sequence labeling algorithms and extensions, Proceedings of the 24th International Conference on Machine Learning, 2007, [online] [retrieved on Jun. 2, 2013] URL: http://www.cs.cornell.edu/˜nhnguyen/icml07structured.pdf, pp. 681-688. |
Nissen, S., Implementation of a Fast Artificial Neural Network Library (FANN), Department of Computer Science University of Copenhagen (DIKU)), Oct. 31, 2003, [online] [retrieved on Jun. 21, 2013] URL: http://mirror.transact.net.au/sourceforge/f/project/fa/fann/fann-doc/1.0/fann-doc-complete-1.0.pdf, 92 pgs. |
Osian, M., et al., Fitting Superellipses to Incomplete Contours, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW '04), Jun. 2004, 8 pgs. |
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20120235940 A1 | Sep 2012 | US |
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60085713 | May 1998 | US |
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Parent | 09313533 | May 1999 | US |
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Child | 13473525 | US | |
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Child | 11761978 | US |