Abstract: A method of classifying pressure inputs in a sensing array, in which the sensing array comprises a plurality of sensing elements responsive to pressure inputs is described. The method comprises steps of identifying a plurality of pressure inputs in the sensing array and converting the plurality of pressure inputs into an output image. The output image is compared with a data set comprising a plurality of images of undesirable pressure inputs by means of an artificial neural network. A mask is applied which is consistent with the output image to remove undesirable pressure inputs.

Abstract: A force sensing device comprises a first electrode and a second electrode arranged to provide an electrical output in response to an applied force to determine the magnitude of the applied force. The force sensing device comprises a collapsible structure configured to provide an electrical short circuit in response to the applied force when the applied force exceeds a predetermined magnitude.

Abstract: A method of calibrating a force sensing device comprises establishing an optimized force-resistance curve by obtaining a mean resistance of a plurality of force-resistance curves for a set of substantially similar force sensing devices and measuring calibration data of the force sensing device. The method applies a plurality of calibration points defined from the measuring step to the optimized force-resistance curve and adapts the optimized force-resistance curve to form an adapted force-resistance curve by interpolating the plurality of calibration points and determining a multiplier value for each calibration point.

Abstract: A method of maintaining a pressure input path in a sensing array is described. The sensing array comprises a plurality of sensing elements, and the method involves activating a first sensing element to determine a first location data point and activating a second sensing element to determine a second location data point. The state location (x,y) and state velocity (Vx, Vy) are calculated based on the first and second location data points to create a state vector. A predicted path of further location data points is determined from the state vector to avoid drop out problems with pressure inputs.

Abstract: A method of maintaining a pressure input path in a sensing array is described. The sensing array comprises a plurality of sensing elements, and the method involves activating a first sensing element to determine a first location data point and activating a second sensing element to determine a second location data point. The state location (x,y) and state velocity (Vx, Vy) are calculated based on the first and second location data points to create a state vector. A predicted path of further location data points is determined from the state vector to avoid drop out problems with pressure inputs.

Abstract: A method of classifying pressure inputs in a sensing array, in which the sensing array comprises a plurality of sensing elements responsive to pressure inputs is described. The method comprises steps of identifying a plurality of pressure inputs in the sensing array and converting the plurality of pressure inputs into an output image. The output image is compared with a data set comprising a plurality of images of undesirable pressure inputs by means of an artificial neural network. A mask is applied which is consistent with the output image to remove undesirable pressure inputs.

Abstract: A method of calibrating a force sensing device comprises establishing an optimized force-resistance curve by obtaining a mean resistance of a plurality of force-resistance curves for a set of substantially similar force sensing devices and measuring calibration data of the force sensing device. The method applies a plurality of calibration points defined from the measuring step to the optimized force-resistance curve and adapts the optimized force-resistance curve to form an adapted force-resistance curve by interpolating the plurality of calibration points and determining a multiplier value for each calibration point.