Gesture recognition device and method for sensing multi-factor assertion
A gesture-recognition (GR) device is disclosed that includes a capacitive touch sensor panel and a controller. The capacitive touch sensor panel comprises a plurality of sensing pads arranged in a cylindrical pattern inside a handle of the GR device and detects a multi-factor touch assertion at a set of sensing pads of the plurality of sensing pads. The controller transmits a driving signal to each of the plurality of sensing pads for the detection of the multi-factor touch assertion, generates an assertion signal, determines a signal sequence based on the assertion signal, and converts a current inactive state of the GR device to an active state based on a validation of the determined signal sequence corresponding to the multi-factor touch assertion and an inferred user intent.
1 . A gesture recognition device comprising memory and one or more processors communicatively coupled to the memory, the one or more processors configured to:
detect, via a set of capacitive touch sensing pads of the gesture recognition device a multi-factor touch assertion, wherein the multi-factor touch assertion corresponds to a recognized grip technique of the gesture recognition device of a plurality of grip techniques;
generate an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique of the gesture recognition device; and
communicate the assertion signal.
2 . The gesture recognition device of claim 1 , wherein the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of capacitive touch sensing pads of the gesture recognition device.
3 . The gesture recognition device of claim 1 , wherein the gesture recognition device comprises an elongated cylindrical body and the set of capacitive touch sensing pads is arranged in a cylindrical pattern along the elongated cylindrical body.
4 . The gesture recognition device of claim 1 , the one or more processors further configured to:
convert a current inactive state of the gesture recognition device to an active state responsive to the assertion signal.
5 . The gesture recognition device of claim 4 , wherein, in response to the gesture recognition device being in the active state, the one or more processors are further configured to:
detect, via a motion sensor, a recognized movement of a plurality of recognized movements of the gesture recognition device;
generate a command based on the recognized movement; and
transmit the command to a target device.
6 . The gesture recognition device of claim 5 , wherein the command is based on the recognized movement and the recognized grip technique.
7 . The gesture recognition device of claim 6 , wherein the command is identified from a command library comprising a plurality of commands corresponding to at least one of the plurality of recognized movements or the plurality of grip techniques.
8 . The gesture recognition device of claim 5 , wherein the motion sensor comprises an inertial measurement unit and the recognized movement of the gesture recognition device comprises at least one of a tap gesture or a three-dimensional movement of the gesture recognition device.
9 . The gesture recognition device of claim 8 , wherein the inertial measurement unit is configured to sense three-dimensional motion in three linear axes and three rotational axes.
10 . A computer-implemented method for a gesture recognition device, comprising:
detecting, via a set of capacitive touch sensing pads of a gesture recognition device a multi-factor touch assertion, wherein the multi-factor touch assertion corresponds to a recognized grip technique of the gesture recognition device of a plurality of grip techniques;
generating an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique of the gesture recognition device; and
communicating the assertion signal.
11 . The computer-implemented method of claim 10 , wherein the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of capacitive touch sensing pads of the gesture recognition device.
12 . The computer-implemented method of claim 10 , further comprising:
converting a current inactive state of the gesture recognition device to an active state responsive to the assertion signal.
13 . The computer-implemented method of claim 12 , wherein, in response to the gesture recognition device being in the active state, the computer-implemented method further comprises:
detecting, via a motion sensor, a recognized movement of a plurality of recognized movements of the gesture recognition device;
generating a command based on the recognized movement; and
transmitting the command to a target device.
14 . The computer-implemented method of claim 13 , wherein the command is based on the recognized movement and the recognized grip technique.
15 . The computer-implemented method of claim 14 , wherein the command is identified from a command library comprising a plurality of commands corresponding to at least one of the plurality of recognized movements or the plurality of grip techniques.
16 . The computer-implemented method of claim 14 , wherein the motion sensor comprises an inertial measurement unit and the recognized movement of the gesture recognition device comprises at least one of a tap gesture or a three-dimensional movement of the gesture recognition device.
17 . The computer-implemented method of claim 16 , wherein the inertial measurement unit is configured to sense three-dimensional motion in three linear axes and three rotational axes.
18 . A computer program product including one or more non-transitory computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to:
detect, via a set of capacitive touch sensing pads of a gesture recognition device a multi-factor touch assertion, wherein the multi-factor touch assertion corresponds to a recognized grip technique of the gesture recognition device of a plurality of grip techniques;
generate an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique of the gesture recognition device; and
communicate the assertion signal.
19 . The computer program product of claim 18 , wherein the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of capacitive touch sensing pads of the device.
20 . The computer program product of claim 18 , the one or more processors further configured to:
convert a current inactive state of the gesture recognition device to an active state responsive to the assertion signal.