Gesture recognition device and method for sensing multi-factor assertion

Patent metadata

Field	Value
Publication number	US-12153739-B2
Application number	US-202318334045-A
Country	US
Kind code	B2
Filing date	Jun 13, 2023
Priority date	Sep 6, 2019
Publication date	Nov 26, 2024
Grant date	Nov 26, 2024

Abstract

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.

First claim

What is claimed is:

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 capacitive touch sensor panel, a multi-factor touch assertion corresponding to a set of sensing pads of the capacitive touch sensor panel, wherein the multi-factor touch assertion corresponds to a recognized grip technique of a plurality of grip techniques;
generate an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique;
determine a signal sequence based on the assertion signal; and
initiate an action based on a validation of the signal sequence.

2. The gesture recognition device of claim 1 , wherein the capacitive touch sensor panel comprises a plurality of sensing pads and the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of sensing pads of the plurality of sensing pads.

3. The gesture recognition device of claim 2 , wherein the plurality of sensing pads comprises a plurality of touch sensor pads.

4. The gesture recognition device of claim 3 , wherein the gesture recognition device comprises an elongated cylindrical body and the plurality of touch sensor pads is arranged in a cylindrical pattern inside the elongated cylindrical body.

5. The gesture recognition device of claim 1 , wherein initiating the action based on a validation of the signal sequence comprises:
converting a current inactive state of the gesture recognition device to an active state.

6. The gesture recognition device of claim 5 , wherein, in response to 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.

7. The gesture recognition device of claim 6 , wherein the command is based on the recognized movement and the recognized grip technique.

8. The gesture recognition device of claim 7 , 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.

9. The gesture recognition device of claim 6 , 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.

10. The gesture recognition device of claim 9 , wherein the inertial measurement unit is configured to sense three-dimensional motion in three linear axes and three rotational axes.

11. A computer-implemented method for a gesture recognition device, comprising:
detecting, via a capacitive touch sensor panel, a multi-factor touch assertion corresponding to a set of sensing pads of the capacitive touch sensor panel, wherein the multi-factor touch assertion corresponds to a recognized grip technique of a plurality of grip techniques;
generating an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique;
determining a signal sequence based on the assertion signal; and
initiating an action based on a validation of the signal sequence.

12. The computer-implemented method of claim 11 , wherein the capacitive touch sensor panel comprises a plurality of sensing pads and the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of sensing pads of the plurality of sensing pads.

13. The computer-implemented method of claim 12 , wherein the plurality of sensing pads comprises a plurality of touch sensor pads.

14. The computer-implemented method of claim 11 , wherein initiating the action based on a validation of the signal sequence comprises:
converting a current inactive state of the gesture recognition device to an active state.

15. The computer-implemented method of claim 14 , wherein, in response to the active state, 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.

16. The computer-implemented method of claim 15 , wherein the command is based on the recognized movement and the recognized grip technique.

17. The computer-implemented method of claim 16 , 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.

18. The computer-implemented method of claim 16 , 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.

19. 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 capacitive touch sensor panel, a multi-factor touch assertion corresponding to a set of sensing pads of the capacitive touch sensor panel, wherein the multi-factor touch assertion corresponds to a recognized grip technique of a plurality of grip techniques;
generate an assertion signal that corresponds to the multi-factor touch assertion for the recognized grip technique;
determine a signal sequence based on the assertion signal; and
initiate an action based on a validation of the signal sequence.

20. The computer program product of claim 19 , wherein the capacitive touch sensor panel comprises a plurality of sensing pads and the recognized grip technique is detected based, at least in part, on a change in capacitance at the set of sensing pads of the plurality of sensing pads.

Assignees

• Warner Bros Entertainment Inc

Inventors

• Nocon Nathan
• Mcwilliams Tom

Classifications

• G06F2203/04104

  Multi-touch detection in digitiser, i.e. details about the simultaneous detection of a plurality of touching locations, e.g. multiple fingers or pen and finger · CPC title

• G06F3/044

  by capacitive means · CPC title

• G06F3/0416

  Control or interface arrangements specially adapted for digitisers · CPC title

• G06F3/0346 Primary

  with detection of the device orientation or free movement in a three-dimensional [3D] space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors · CPC title

• G06F3/016

  Input arrangements with force or tactile feedback as computer generated output to the user · CPC title