The present invention relates generally to touch location sensing systems and methods and, more particularly, to touch location sensing systems and methods that employ a stylus as a user input implement, alone or in combination with a user's finger.
Personal computing systems of varying type and configuration typically provide one or more user interface devices to facilitate user interaction with such computing systems. Well known user interface devices include a keyboard, mouse, trackball, joystick, and the like. Various types of personal computing devices, such as tablet PCs, provide a pen apparatus that can be manipulated by the user, much in the same way as a pencil or ink pen.
Conventional computing devices that provide for user input via a pen or other pointer implement typically employ an electromagnetic inductive system. The electromagnetic inductive system usually comprises an electromagnetic pen or pointer apparatus and a digitizer in the form of a tablet. Changes in pen location relative to the digitizer's sensing surface are detected and location computations are made to determine the coordinates of the pen.
The present invention is directed to methods and devices for determining the location of a touch implement relative to a touch locating sensing device. Detection methods of the present invention involve developing touch signals at a touch sensor in response to a touch implement on or near the touch surface. Data associated with the touch signals is fitted to a predefined curve. The predefined curve is preferably defined by a charged sphere near a conducting plane, the charged sphere representative of an end of the touch implement and the conducting plane representative of the touch surface. A location of the touch implement is determined relative to the touch surface using the predefined curve to which the data is fitted.
Determining the location of the touch implement may involve interpolating the location using the predefined curve. For example, determining the location of the touch implement may involve determining both an X-Y position and a height of the touch implement relative to the touch surface.
The predefined curve may be defined by a capacitance that varies as a function of distance between the charged sphere and the conducting plane. The predefined curve may be defined by sets of point charges representative of the charged sphere and conducting plane, respectively, that maintain the charged sphere and conducting plane as equipotentials.
The touch implement may comprise a finger, and the end of the touch implement comprises a tip of the finger. The touch implement may comprise a stylus. According to various embodiments, the touch implement may be configured as an untethered battery-less stylus. Methods of the present invention that employ an untethered stylus may involve generating a drive signal at the touch location sensing device, energizing the stylus using the drive signal, and transmitting a stylus signal from the energized stylus to the touch sensor. At the touch sensor, stylus touch signals are developed in response to the stylus signal.
A location of the stylus relative to the touch surface is determined using the predefined curve to which data associated with the stylus touch signals is fitted. The location of the stylus may be determined in terms of one or both of an X-Y position and a height of the stylus relative to the touch surface. According to various embodiments, the touch sensor may be implemented to include a multiplicity of grid conductors, and fitting data associated with the touch signals may involve fitting data associated with a touch signal developed at each of the grid conductors.
Embodiments involving cooperation between an untethered stylus and a touch sensor of the present invention may further involve performing envelope detection on the stylus touch signal, digitizing the envelope signals, and determining one or both of the location and a height of the stylus relative to the touch surface using the predefined curve to which data associated with the digitized envelope signals is fitted.
The location of the stylus may be indicated in a first manner when the stylus is in contact with the touch surface and indicated in a second manner differing from the first manner when the stylus is hovering relative to the touch surface. For example, the first manner may involve presenting a point or other indicia on a display at a location indicative of stylus contact on the touch surface, and the second manner may involve presenting a cursor on the display at a location approximating that of the hovering stylus relative to the touch surface.
Embodiments of the present invention may further involve determining an angle of the stylus relative to the touch sensor. The angle may be determined based on skew of residual data, which represents differences between fitted and raw sensor data. Determining the location of the stylus relative to the touch surface may involve correcting for the angle of the stylus when determining stylus location. The angle may be corrected based on skew of the residual data.
Transmitting the stylus signal may involve transmitting information indicative of one or more stylus states from the energized stylus to the touch sensor. For example, the stylus states may include one or more states equivalent to one or more mouse states.
According to further embodiments, a touch location sensing device of the present invention may include a touch sensor comprising a touch surface and one or more transducers configured to generate touch signals responsive to a touch implement on or near the touch surface. A processor is coupled to the touch sensor. The processor is preferably configured to fit data associated with the touch signals with a predefined curve. The predefined curve is preferably defined by a charged sphere near a conducting plane, the charged sphere representative of an end of the touch implement and the conducting plane representative of the touch surface. The processor is further configured to determine a location of the touch implement relative to the touch surface using the predefined curve to which the data is fitted.
Embodiments of a touch location sensing device of the present invention may include drive circuitry provided at the touch sensor and configured to generate a drive signal. An untethered battery-less stylus may be implemented to include circuitry energized by the drive signal and configured to transmit a stylus signal in response to the drive signal. Stylus touch signals may be developed at the touch sensor in response to the stylus signal, and the processor configured to determine a location of the stylus relative to the touch surface using the predefined curve to which data associated with the stylus touch signals is fitted.
The predefined curve may be defined by a capacitance that varies as a function of distance between the charged sphere and the conducting plane. The predefined curve may be defined by sets of point charges representative of the charged sphere and conducting plane that maintains the charged sphere and conducting plane as equipotentials. The processor may be configured to interpolate the location using the predefined curve.
Touch location sensing device embodiments may include conditioning circuitry comprising an envelope detector coupled to the touch sensor and configured to perform envelope detection on the touch signals to produce envelope signals, and an analog-to-digital converter configured to digitize the envelope signals. The processor may be coupled to the conditioning circuitry and configured to determine one or both of the location and a height of the stylus relative to the touch surface using the predefined curve to which data associated with the digitized envelope signals is fitted.
The processor may be configured to determine an angle of the touch implement relative to the touch sensor, such as by use of skew of residual data. The processor may be configured to correct for the angle of the stylus when determining stylus location. The processor may be configured to correct for the angle based on skew of the residual data.
Embodiments of a touch location sensing device may include a display coupled to the processor. The touch sensor of the touch location sensing device may incorporate a matrix capacitive touch sensor.
The above summary of the present invention is not intended to describe each embodiment or every implementation of the present invention. Advantages and attainments, together with a more complete understanding of the invention, will become apparent and appreciated by referring to the following detailed description and claims taken in conjunction with the accompanying drawings.
While the invention is amenable to various modifications and alternative forms, specifics thereof have been shown by way of example in the drawings and will be described in detail. It is to be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the invention as defined by the appended claims.
In the following description of the illustrated embodiments, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration, various embodiments in which the invention may be practiced. It is to be understood that the embodiments may be utilized and structural changes may be made without departing from the scope of the present invention.
The present invention is generally directed to methods and systems for determining the location of a touch implement relative to a touch location sensing device. Embodiments of the present invention provide for improved touch location determinations through use of a curve fitting model that determines the best fit of touch sensor data to a predefined curve. The predefined curve is preferably a curve defined by a charged sphere near a conducting plane, wherein the charged sphere is representative of an end of the stylus and the conducting plane is representative of a touch surface of the sensor. A location of the stylus relative to the touch surface may be determined using the predefined curve to which the data is fitted.
Embodiments of the present invention may also provide for the determination of an angle of the stylus relative to the touch sensor. The stylus angle may be determined based on skew of the fitted data. Determining the location of the stylus relative to the touch surface may involve correcting for the angle of the stylus when determining stylus location. For example, the angle of the stylus may be corrected based on skew of the fitted data.
Various embodiments of a touch location sensing system that incorporates stylus tip position and/or angle determinations of the present invention are illustrated in the Figures. With reference to
The sensing device 11 is shown to include a drive loop or coil 18 coupled to drive loop electronics 16 that cooperate to generate a magnetic field, which may be a continuously varying magnetic field. The stylus 12, having derived power from the magnetic field emanating from the drive coil 18, broadcasts a signal from which stylus location and status may be determined by the sensing device 11.
The stylus 12 is preferably configured to include one or more user-actuatable buttons or switches, such as those commonly employed to implement various mouse functions (e.g., right and left mouse buttons). The tip of the stylus 12 may incorporate a pressure sensor from which applied pressure can be resolved and transmitted to the sensing device 11. Eraser functionality may also be incorporated at the stylus end opposite the tip.
Sensor interface electronics 20 is coupled to the sensor 14 and facilitates measurement of signals developed at the sensor 14 in response to signals broadcast by the stylus 12. The sensor interface electronics 20 is preferably connected to the sensor 14 via a shielded connector. The sensor interface electronics 20 includes circuitry for measuring the signal levels present on the individual traces of the sensor 14, and is typically configured to reject as much noise as possible.
According to one configuration, the sensor 14 includes a digitizer that incorporates a detection grid and electronics as is known in the art. For example, such a detection grid may include pairs of position resolving conductors each of which forms one or more differential coil elements in the sensor 14, with each conductor pair receiving a magnetic signal transmitted by the stylus 14. An illustrative example of a digitizer having such a detection grid configuration is disclosed in U.S. Pat. No. 5,218,174, which is incorporated herein by reference.
According to another configuration, the sensing device 11 may incorporate a sensor 14 that effectively incorporates a digitizer and a touch-sensitive sensor. The digitizer, according to this configuration, allows the location and status of the stylus 12 to be determined. The touch-sensitive sensor allows the location of a finger touch to be determined. This configuration allows a user to use either the stylus 12 or a finger to indicate a desired location on a computer display, for example, as well as determine the location and status of the stylus 12.
The touch-sensitive sensor 14 typically includes a matrix that capacitively couples to the stylus 12 and/or a finger. In this configuration, the sensor 14 of the sensing device 11 is preferably made up of a series of transparent conductors arranged on a glass or plastic cover that can be placed in front of an LCD display. One side of the glass or plastic sheet has conductors in the X direction, and the opposite side has conductors in the Y direction. Examples of suitable touch sensitive sensors 14 are disclosed in commonly owned U.S. Pat. Nos. 6,133,906 and 6,970,160, in commonly owned U.S. Published Application No. 2005/0083307, in U.S. Pat. Nos. 6,762,752 and 6,690,156, and in U.S. Published Application No. 2004/0095333, each of which is hereby incorporated herein by reference.
An embodiment that incorporates a digitizer and touch-sensitive sensor advantageously allows a user to point a stylus at a computer display and have the location and status of the pointing device determined and, when a finger is used to point at the display device, allows for the determination of the location of a finger touch at the display device. The dual use aspects of this embodiment of a sensing device 11 make it particularly useful in tablet PC applications.
For example, a digitizer arrangement allows a user to use a stylus to input information, indicate operations the user wants to take, and write or draw on the display. The touch-sensitive sensor allows the user to “type” information onto a virtual keyboard on the display screen, for example. This would allow the vendor of the computing system, in which a dual touch location sensor system of the present invention is implemented, to eliminate the keyboard and the associated bulk it requires. It is understood that a digitizer and a touch-sensitive sensor need not be implemented together in all configurations, but inclusion of both sensing devices provides for enhanced user interaction with a computing system that incorporates a sensing system 10 of the present invention.
According to one illustrative embodiment, the drive coil 18 may be constructed of wire, such as 36 gauge wire, looped several times (e.g., 4 times) around the periphery of the frame of sensing device 11. In one implementation, the drive coil 18 may have an inductance of about 21 pH and an impedance of about 14 Ohms at 100 kHz. The drive coil 18 is connected to a signal generator of the drive loop electronics 16. The signal generator may be configured to produce 200 periods of a 100 kHz sine wave signal gated at 250 Hz. The signal generator may, for example, produce an output signal of 0.4 Vpp, resulting in approximately 28 mA of current that flows in the drive coil 18.
The stylus 12 is configured to collect energy from the magnetic field emanating from the drive coil 18 using a tank circuit. The tank circuit may initially be tuned to resonate at the frequency that the drive coil 18 is driven. In this illustrative example, the frequency is set at 100 kHz. The tank circuit of the stylus 12 builds amplitude during the burst produced by the drive coil 18 and then gradually loses signal amplitude after the drive coil 18 is turned off. The time associated with the exponential charging and discharging of the resonant tank circuit of the stylus 12 is determined by the capacitive and inductive elements in the tank circuit. Changes in the resonant frequency of the tank circuit, due to drift or purposeful modification (e.g., resulting from stylus switch state changes), may be accommodated by detecting and/or tracking such changes by the sensing device 11. Alternatively, the resonant frequency of the tank circuit can be modified to track changes in the drive frequency of the magnetic field emanating from the drive coil 18.
Referring now to
The ferrite coil arrangement 56 resonates with a separate parallel-connected capacitor of the electronics 52 and is initially tuned to the excitation field frequency. The parallel coil-capacitor combination is connected between the stylus tip 57 and the stylus shield 59. The shield 59 may form part of, or otherwise be connected to, the stylus housing so that it can be touched, and therefore grounded, by a user's hand when held. The shield 59 may be situated to extend over the circuitry region of the stylus 12, and preferably has a discontinuous shape, such as a “C” shape, so as to avoid eddy currents that could otherwise arise in a closed loop shield arrangement.
The stylus tip 57 couples capacitively to the touch location sensor from which location information is derived. To provide stylus status information according to one embodiment, the ferrite coil arrangement 56 powers the electronics 52, which may include a low power oscillator or oscillators provided on oscillator circuit 55, that amplitude modulates the stylus tip voltage at the oscillator(s) frequency or frequencies. The frequency of the oscillations is changed to reflect the stylus status, such as switch closures or tip pressure changes.
The stylus location and status information computed by the processor 22 is communicated to a computer and/or display 26 via a communications interface 24, which is shown in
The sensor interface electronics 20 of
It is noted that other demodulator circuitry may be included within sensor interface electronics 20 to recover stylus status data, and that this status data may be communicated to the processor 22. For example, known amplitude demodulation circuitry may be employed to detect the amplitude modulation of a received stylus signal. Known frequency demodulation circuitry may be used to detect the frequency of the amplitude modulation, such frequency indicating the state of a stylus status switch for example.
The system shown in
As shown, the signal processing module 80 includes one or more filters 82, a maximum peak locator 84, a curve fitting model 86, and an interpolator 88. It is understood that components of the signal processing module 80 may be implemented in hardware, software, or a combination of hardware and software. According to various embodiments, the signal processing module 80 operates on a length of data that contains several (e.g., at least three) of the pulses shown in
As was discussed previously, the multiple humps exhibited by trace signals 102 and 104 result from each time the drive coil 18 is given a burst of a 100 kHz drive signal.
Each of the N input channels to the signal processing module 80 has a pair of constants that can be selected to correct for initial differences in the gain and offset of the signal train in the envelope detector circuit 30. Multiplying by the first constant and adding a second constant value linearly scales the data. These constants may be experimentally determined, such as by looking at the output of each channel without a stylus and adjusting the pair of constants appropriately.
A temporal filter 82 is applied to each of the N channels to reduce the effects of stray oscillatory noise on the channels. Several different kinds of filters may be used. One suitable filter 82 is a 3 point moving average filter. This filter 82 smoothes the data, but does not remove significant fidelity of the signal. The data may be truncated to exclude pulses at the start and end of the pulse train.
A baseline is then removed from the data by filter 82 to correct for mid- to long-term noise that could affect the absolute maximum value of the peak. One maximum in the pulse train, as well as two points a fixed distance to each side of this maximum, are identified. The two side points are selected a distance from the peak to assure the signal is at baseline. A line is calculated that includes the two side points. The line is then subtracted from the data surrounding the maximum. This effectively removes any sloping baseline around the maximum.
The analytical value for each of the N inputs is then determined using a maximum peak locator 84 by searching for the maximum of the peak. According to one approach, ten points at the top of the peak are averaged to remove high frequency noise and that data is assigned a position. In the graph shown in
The output values from the maximum peak locator 84 are passed through a curve fitting model 86 that determines the best fit of the data to a selected curve. The curve fitting model 86 may be implemented to use an iterative least squares fitting algorithm to optimize one or more parameters. In the following illustrative example, three such parameters are optimized. The first parameter describes the position of the peak, which is shown over position ‘3’ in
It has been found that the beginning equation used by the curve fitting model 86 can have a significant effect on how well the data can be fitted to the curve. Although conventional curves such as Gaussian and Lorentzian curves may be used, one particular curve implemented by the inventors provides superior results. According to this approach, the curve fitting model 86 uses a curve that is based on an electrostatic model of a fixed charge held above a plane of conductors.
Referring now to
it is possible to calculate the capacitance between the sphere and the plane.
This calculation gives the results below:
This result can be used to define the relative capacitance between the sphere and a trace of a finite width at different distances from the sphere. This is an approximation, and assumes that all traces are the same width and long enough the be considered infinite in length compared to the sphere. Variables are preferably added to this function to take into account baseline shifts and amplification factors. The result is a five variable model describing the affect of the spherical stylus tip on the sensor traces.
The ability to find the capacitance between a sphere and a plane allows for the understanding of how a finger or stylus might interact with a trace in a sensor. Capacitive coupling of an object to a set of X-Y conductive traces forms the basis for several types of touch screen technologies. In some cases, the object is a finger. In others, the object is a stylus or pointer held in the hand. In both of these cases, there exits a capacitance between the trace and the object. The value of that capacitance and the frequency used to drive either the trace or the stylus determine the signal generated by a detection system.
In the case of the illustrative example provided above, the stylus is driven with a 100 kHz signal and the stylus tip voltage is coupled to a set of traces of the sensor. Considering a simple case of a set of long narrow traces that lie parallel to the Y axis and are spaced out along the X axis at some uniform pitch, and a stylus at some height Z above the X-Y origin, it is possible to measure the voltage of each of these traces and generate a plot similar to the one shown in
The primary objective of a touch location sensing device is to determine the location of a touch in the X-Y plane. Several methods have been used to fit the data to a continuous function to determine the coordinate of the stylus or finger. Linear interpolation, fitting to a Gaussian equation or fitting to a Lorentzian equation have been used previously. As discussed above, and as more fully developed below, the curve fitting model 86 shown in
It is known that some fields may be calculated by the method of images through successive approximations. By way of illustration, the capacitance of a charged sphere near a grounded conducting plane may be computed in the following manner and in reference to
Initially, a charge Q1 is positioned at the center of the sphere, as is shown in
If
then the following applies:
and so on. The total charge on the sphere is given by:
It is noted that only Q1 contributes to its potential. The charges −Q1 and Q2 make the potential of the sphere zero. The same is true of all the following pairs of charges. The potential of the sphere is therefore given by:
The capacitance between the sphere and the plane is given by:
The presence of the plane thus increases the capacitance of the sphere. Additional details concerning the capacitance of a charged sphere near a grounded conducting plane are found in Paul Lorrain and Dale Corson, Electromagnetic Fields and Waves, 2d ed. pp 150-152, W. H. Freeman and Company of San Francisco, Calif. (1970).
Since the signal coupled through this capacitance varies directly as the capacitance varies, all constants may be gathered into a single term k to simplify matters, and only the first four terms need be considered. Given these considerations in this illustrative example, the function behaves in the following manner:
The equation above is an expression for describing how the capacitance varies as a function of the distance, Dis, from the center of the sphere. If instead of an infinite plane there is a single series of traces on the same plane parallel to the Y axis, one can determine the approximate capacitance of a trace at location X by substituting the following for Dis (distance) and resolving the equation. Giving values to the constants and setting z to 3, it is possible to solve for capacitance at various x values.
A plot of data using the above equation as a function of x is shown in
It is desirable to define distance in terms of both x and y, and z. At the same time, additional terms can be added that will allow for positioning of the curve at a location other than the origin.
The above result can be used to fit two dimensional data collected from a grid of X-Y sensor bars. The two dimensional version produces more points to fit to and should increase accuracy of the fitted position. In experimental conditions, it may be useful to fix the values of k, a, and z at a value of 1.
As was discussed previously with reference to
These two fitting parameters describing the position of the stylus tip and its height from the surface of the sensor may be passed on to a display state machine. The state machine may be configured to use the height of the stylus to determine if the stylus is hovering over, or writing on, the sensor surface. Stylus position may be plotted on a graph as a point if the stylus is writing. If hovering, the state machine may be configured to move a cursor to the position of the stylus, but does not plot a point.
Turning now to
As was previously discussed, the electrostatic model may be defined to contain five separate fitting parameters: three parameters describing the position, and two describing shape. Equation [2] above may be modified to include all five variables (A, B, C, D, E) to define a fitted curve as follows:
E+B(4+((2A)/sqrt((r−C)2+D2))−((4A2)/A4((r−C)2+D2)))+((A3)/sqt((r−C)2+D2)(−A2+2((r−C)2+D2))))) [3]
With continued reference to
The two parameters (A, D) describing the shape of the curve are then held constant, and used as inputs for all future fits of the data. In normal use, the N channels of data are collected 210 and fit 212 in a least squares manner to the model using the two fixed parameters (A, D) and the three variable parameters (B, C, E) describing the position of the stylus. The output of this regression is the position 218 of the stylus relative to the sensor and the magnitude 216 of the signal coming from the stylus. This procedure 210-218 is repeated 214 for each change in stylus position.
In accordance with one calibration procedure, a stylus may be affixed with a tip that may have a 2 mm radius. The stylus may be mounted in a stylus holder on an x-motion stage. The stage may be adjusted to move the stylus over the sensor surface in 1 mil increments. The sensor may be fabricated to include N (e.g., 16) traces of 0.75 mm width and centered 3 mm apart, for example. The sensor is preferably connected to a processor or computer, which supports software that coordinates collection of sensor data, as was discussed previously.
The stylus may first be moved away from the surface of the sensor (approximately 5 inches), and a background value taken for each of the N channels. The stylus may then be lowered towards the sensor surface until the stylus tip touches the surface of the sensor (or a spacer), and then raised approximately 1 mil. For the calibration procedure, the stylus tip may be visually aligned over the middle of one of the traces in the middle of the sensor, although other orientations may be used. The values for each of the N lines are then collected by the processor.
The N channels of data may then be fitted to the five parameter electrostatic model defined by equation [3] above. To decrease the model's dependence on starting conditions, a linear interpolation may be used to add 100 points between each of the N channels. In the example of N=16 channels, 1600 data points may be subject to a least squares routine to adjust the five parameters until the model fits the data with minimum residuals.
The affects of the five parameters on the fitted curve shape are shown in
Following the calibration procedure, parameters A and D are then fixed, and are used for all future fits. Every time a stylus position determination is needed, data from the N channels is collected. This set of data is passed though the curve fit module that determines the best fit of the data to the curve described. The curve fit model uses an iterative least squares fitting algorithm to optimize the three parameters described above as B, C, and E. The first parameter, B, is a multiplicative factor, while parameter E is an additive offset. Parameter C describes the position of the peak. This position represents a prediction of the position of the stylus tip. Because the processor is fitting a curve of known shape with minimal fitting parameters, the processor can very accurately interpolate between the points. The fitted curve for a typical set of data (for N=16 channels in this example) is plotted in
To verify the efficacy of the stylus position determination procedure discussed above, the stylus was stepped at 1 mil increments across the surface of the sensor. The position of the stylus tip, as calculated from the above described algorithm, was plotted versus the actual stylus tip position. This plot is shown in
The illustrative example discussed above may be modified to optimize the fit for minimum error. For example, the number of channels of data fed into the fitting algorithm may be adjusted. This number could be lowered or raised to minimize error. The fitting algorithm can also be extended to fit both X and Y data simultaneously, further minimizing random noise by including more points into the fitting algorithm.
A stylus position detection methodology described herein provides several advantages, including determining stylus position to a high degree of accuracy and reducing positional noise due to the averaging effect of the least squares fit. The detection methodology can correct for position at the edge of the sensor/digitizing surface, where one side of the data is sparse. The method also provides an output measure of the stylus height, which can be used for determining stylus hover.
It is important to be able to determine the angle that a stylus is held over the surface of a touch location sensing device, such as a digitizer. In high precision applications, for example, it has been found that the angle of the stylus can introduce significant errors to the reported position of the stylus. For example, systems of the present invention may be implemented to provide for stylus position determinations to within 25 microns of actual stylus position. Positional error induced by the angle of the stylus can be as large as 35 microns, significantly larger than the target accuracy of 25 microns in this illustrative example. An example of this error is shown in
In accordance with embodiments of the present invention, when the stylus is angled relative to the sensor surface, the fitting algorithm may be implemented so as to predict stylus tip position with an error proportional to the angle. Using the angle, this error can be removed. Additionally, the angle can be used as an analytical parameter to uniquely identify signatures or handwriting. According to embodiments of the present invention, the angle of a stylus held over a digitizing medium may be determined based on the asymmetry, or skew, of the best fit to the data.
In accordance with one illustrative embodiment, and with reference to
According to one approach, the stylus 400 may first be moved away from the surface 406 of the sensor 404 (approximately 5 inches), and a background value taken for each of the N channels. The stylus 400 may then be lowered towards the sensor 404 until the stylus tip 401 touches the sensor surface 406 (or a spacer), then it may be raised approximately 1 mil. The stylus tip 401 may be visually aligned over the middle of one of the traces 402 in the middle of the sensor 404. Data for the N channels is then collected. This process is repeated for each of a number of settings of the angle of the stylus, such as angles ranging from 45 degrees to 135 degrees, for example. The collected data may then be analyzed in accordance with the flow chart shown in
Referring now to
It is noted that the five parameter fit (see blocks 206 and 208 of
The differences between the raw sensor data 200 and the fit 212, referred to as the residuals, are calculated 300, and a skew parameter 304 is determined 302 by comparing the difference in residual on both sides of the stylus, along one dimension. The residuals may be calculated by subtracting the best fit line from the raw data. The residuals for various angles of the stylus are shown in
The skew 304 may be determined using several methods. For example, the stylus tip position may be determined by looking at the raw data. Points may be identified on either side of the peak at a fixed distance from the peak. The difference between these two values is a measure of the skew 304. Another method involves taking the average of all the points on either side of the peak and then taking the difference. This method is shown in
The skew value 304, together with predetermined skew verses stylus angle calibration data 312, is used to calculate 314 the angle 316 of the stylus. The predetermined skew verses stylus angle calibration data 312 describes how the angle of the stylus tip position varies with skew. A function for characterizing the predetermined skew verses stylus angle calibration data 312 may be previously calibrated, as it will depend on tip radius and other physical parameters of the system.
The skew value 304, together with predetermined skew verses stylus tip position error calibration data 306, is used to correct 308 the predicted stylus position to compute the correct stylus position 310 for this angle 316. The predetermined skew verses stylus tip position error calibration data 306 describes how the error of the stylus tip position varies with skew. The correction may be added to the position outputted by the fitting function. A function for characterizing the predetermined skew verses stylus tip position error calibration data 306 may be previously calibrated, as it will depend on tip radius and other physical parameters of the system.
The examples discussed above show the determination of stylus angle in one direction. The methods discussed above may be applied to calculate the absolute stylus angle by simple vector addition of the angles separately calculated along the x and y axis. Also, by adding an addition correction offset to the tip position correction function, the methods can correct for parallax of the stylus due to the offset of the writing surface from the display.
Methods of determining stylus angle in accordance with the present invention provide for several advantages, including accurately determining stylus angle at every position of the stylus, which provides for enhanced security for handwriting and signature recognition applications. Other advantages include correction of cursor position based on stylus angle. This can significantly increase the accuracy of the reported position of the stylus. Further advantages include correction of parallax due to the writing surface and display being separated by a distance. Also, such methods are not computationally intensive above and beyond the calculation of position.
The foregoing description of the various embodiments of the invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. For example, the detection methodologies described herein may be used in connection with a wide variety of touch implements, including tethered implements and implements that house a battery or other power source. It is intended that the scope of the invention be limited not by this detailed description, but rather by the claims appended hereto.
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1512345 | Jul 2004 | CN |
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Entry |
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