Touch sensitive device employing bending wave vibration sensors that detect touch location and provide haptic feedback
A touch sensitive device comprising a touch sensitive display member capable of supporting bending wave vibration and having a user accessible display surface, an array of transducers coupled to the display member with the array of transducers comprising at least some transducers which are configured to both detect physical touching of the input surface by the user and to input impulses into the display member to produce a haptics sensation to the user in response to said detected touching of the display surface, and a signal processor to receive signals from at least some of transducers in the array of transducers and adapted to analyze the signals to determine the location of the physical touch on the display surface.
1. A method of operating a touch sensitive device comprising a touch sensitive display member capable of supporting bending wave vibration and having a user accessible display surface, an array of transducers coupled to the touch sensitive display member, and a signal processor, the method comprising:
detecting physical touching of the user accessible display surface by a user using at least some of the tranducers in the array of transducers;
inputting impulses into the touch sensitive display member via the at least some of the tranducers in the array of transducers to produce a haptics sensation to the user in response to said detecting physical touching of the user accessible display surface; and
analysing signals received by the signal processor from the array of transducers to determine the location of the physical touch on the user accessible display surface using a combination of dispersion correction and wavelet transform.
2. The method according to claim 1 , comprising processing the detected signals to preserve XYZ information.
3. The method according to claim 2 , comprising extracting data to identify gestures such as sweep and pinch made on the touch plane.
4. The method according to claim 3 , comprising feeding resulting twelve-value signature into a neural network to allow instantaneous positional and force information to be estimated.
5. The method according to claim 4 , comprising feeding historical information into the neural network to permit estimation of the rates of change.
6. The method according to claim 4 , comprising processing resulting signatures together with self-calibration to train the touch sensitive device to recognize higher level constructs such as touch/tap separation and gestures.
7. The method according to claim 2 , comprising processing data to discard higher order terms in the computation of the combination of wavelet and dispersion corrected sensed components.