Gesture event determination
View Patent ↗The present invention relates to a method for determining a gesture event in a touch sensitive device comprising at least one transducer, the method comprising the steps of: (a) sensing frames of a raw signal from the at least one transducer; (b) determining a value of a predetermined parameter for each frame of the raw signal; and (c) determining a rising edge and a falling edge in the raw signal based on the values of the predetermined parameter, thereby determining the gesture event.
1. Method for determining a gesture event in a touch sensitive device comprising at least one transducer, the method comprising the steps of:
sensing frames of a raw signal from the at least one transducer;
determining a value of a predetermined parameter for each frame of the raw signal;
determining a first point, the first point being a frame occurring before a rising edge;
determining a second point, the second being a frame occurring after a falling edge in the raw signal based on the values of the predetermined parameter,
wherein determining the rising edge comprises detecting when (i) a value of the predetermined parameter for one of the frames of the raw signal is greater than a first minimum threshold and (ii) a value of the predetermined parameter for the previous frame of the raw signal is less than a second minimum threshold, the first minimum threshold being greater than the second minimum threshold; and
wherein determining the falling edge comprises detecting when (i) a value of the predetermined parameter for one of the frames of the raw signal is less than the second minimum threshold and (ii) a value of the predetermined parameter for the previous frame of the raw signal is greater than the first minimum threshold; and
determining the gesture event by identifying a gesture event start point, the gesture event start point being the frame at which the predetermined parameter first meets a threshold indicative of a noise level before the first point, which was determined as being the frame occurring before the rising edge; and identifying a gesture event end point, the gesture event end point being the frame at which the predetermined parameter falls below the noise level after the second point, which was determined as being the frame occurring after the falling edge.
2. Method according to claim 1 , further comprising the at least one of:
searching the beginning of the gesture event based on the values of the predetermined parameters in the frames sensed before the rising edge; or
searching the end of the gesture event based on the values of the predetermined parameters in frames sensed after the falling edge.
3. Method according to claim 2 , further comprising a step of:
classifying the gesture event as an expected gesture event based on one or more properties of the raw signal calculated using the values of the predetermined parameters between the beginning of the gesture and the end of the gesture.
4. Method according to claim 3 , wherein one of the properties of the raw signal is a ratio between the maximum and mean predetermined parameter values between the beginning of the gesture and the end of the gesture.
5. Method according to claim 3 , wherein a spectral flux value is defined as a ratio of the predetermined parameter values of the current frame and previous frame and one of the properties of the raw signal is a ratio between the maximum and mean spectral flux values between the beginning of the gesture and the end of the gesture.
6. Method according to claim 3 , wherein the step of classifying the gesture event as an expected gesture event is carried out only if the duration between the rising edge and the falling edge or between the beginning and end of the gesture event is within a predetermined range, the predetermined frequency range being from 20 ms to 120 ms.
7. Method according to claim 1 , wherein the predetermined parameter for each frame the raw signal is determined in a predetermined frequency range, the predetermined frequency range being 20 kHZ to 25 kHz.
8. Method according to claim 1 , wherein the falling edge detection is aborted when a value of the predetermined parameter for one of the frames of the raw signal is greater than a maximum threshold.
9. Method according to claim 3 , wherein the gesture event is classified as a specific gesture if the one or more properties of the raw signal is/are less than a set threshold.
10. Method according to claim 1 , wherein the raw signal is sensed from more than the one transducer, and the value of the predetermined parameter is the average predetermined parameter value arrived at by averaging over the number of transducers.
11. Method according to claim 1 , wherein the predetermined parameter is a root-mean-square level of the raw signal, in particular of any one of the energy, amplitude of the raw signal.
12. An apparatus comprising:
a touch sensitive interface wherein a front and/or a back and/or any one of the sides of the apparatus act as touch sensitive interface; and
a touch sensing means configured to:
sense frames of a raw signal from the at least one transducer;
determine a value of a predetermined parameter for each frame of the raw signal; and
determine first point, the first point being a frame occurring before a rising edge;
determine a second point, the second being a frame occurring after a falling edge in the raw signal based on the values of the predetermined parameter,
wherein determining the rising edge comprises detecting when (i) a value of the predetermined parameter for one of the frames of the raw signal is greater than a first minimum threshold and (ii) a value of the predetermined parameter for the previous frame of the raw signal is less than a second minimum threshold, the first minimum threshold being greater than the second minimum threshold;
wherein determining the falling edge comprises detecting when (i) a value of the predetermined parameter for one of the frames of the raw signal is less than the second minimum threshold and (ii) a value of the predetermined parameter for the previous frame of the raw signal is greater than the first minimum threshold; and
determine the gesture event by identifying a gesture event start point, the gesture event start point being the frame at which the predetermined parameter first meets a threshold indicative of a noise level before the first point, which was determined as being the frame occurring before the rising edge; and identifying a gesture event end point, the gesture event end point being the frame at which the predetermined parameter falls below the noise level after the second point, which was determined as being the frame occurring after the falling edge.
13. The apparatus according to claim 12 , wherein the touch sensing means is further configured to least one of:
search the beginning of the gesture event based on the values of the predetermined parameters in the frames sensed before the rising edge; or
search the end of the gesture event based on the values of the predetermined parameters in frames sensed after the falling edge.
14. The apparatus according to claim 13 , wherein the touch sensing means is further configured to:
classify the gesture event as an expected gesture event based on one or more properties of the raw signal calculated using the values of the predetermined parameters between the beginning of the gesture and the end of the gesture.
15. The apparatus according to claim 14 , wherein one of the properties of the raw signal is a ratio between the maximum and mean predetermined parameter values between the beginning of the gesture and the end of the gesture.
16. The apparatus according to claim 14 , wherein a spectral flux value is defined as a ratio of the predetermined parameter values of the current frame and previous frame and one of the properties of the raw signal is a ratio between the maximum and mean spectral flux values between the beginning of the gesture and the end of the gesture.