Systems and methods for managing motion detection of an electronic device, and associated electronic devices

Patent metadata

Field	Value
Publication number	US-11782149-B2
Application number	US-202117145007-A
Country	US
Kind code	B2
Filing date	Jan 8, 2021
Priority date	Jan 8, 2021
Publication date	Oct 10, 2023
Grant date	Oct 10, 2023

Abstract

Embodiments are provided for managing the operation of sensors in an electronic device. According to certain aspects, the electronic device may detect a change in motion from an initial set of sensor data generated by a sensor(s). A memory cache may store the initial set of sensor data or additional sensor data generated by the sensor(s). The electronic device may initiate a supplemental algorithm that analyzes the cached data. Based on the analysis of the cached data and whether the change in motion is confirmed or whether additional motion is detected, the electronic device may manage the operation of the supplemental algorithm.

First claim

What is claimed is:

1. A computer-implemented method of managing motion detection features on an electronic device, the computer-implemented method comprising:
retrieving, by a processor from a sensor of the electronic device, a set of sensor data;
in response to retrieving the set of sensor data, detecting, by an initial motion recognition algorithm executed by the processor, a change in motion of a target relative to the electronic device based on analyzing the set of sensor data;
in response to detecting the change in motion, caching the set of sensor data in a memory of the electronic device and initiating, by the processor, a supplemental motion recognition algorithm;
in response to initiating the supplemental motion recognition algorithm, retrieving, from the memory, the set of sensor data;
analyzing, by the supplemental motion recognition algorithm, the set of sensor data that was retrieved from the memory;
in response to analyzing the set of sensor data that was retrieved from the memory, confirming, by the supplemental motion recognition algorithm, the change in motion;
in response to confirming the change in motion, retrieving, by the processor from an additional sensor of the electronic device, an additional set of sensor data; and
analyzing, by the supplemental motion recognition algorithm, the additional set of sensor data.

2. The computer-implemented method of claim 1 , further comprising:
removing at least a portion of the set of sensor data that was cached in the memory, wherein at least the portion of the set of sensor data does not indicate motion.

3. The computer-implemented method of claim 2 , wherein analyzing the set of sensor data that was cached in the memory comprises:
analyzing, by the supplemental motion recognition algorithm initiated by the processor, the set of sensor data having at least the portion removed therefrom.

4. The computer-implemented method of claim 1 , further comprising:
failing to detect an additional change in motion based on analyzing, by the supplemental motion recognition algorithm, the additional set of sensor data; and
terminating the supplemental motion recognition algorithm.

5. An electronic device comprising:
a first sensor and a second sensor;
a memory; and
a processor interfaced with the first sensor, the second sensor, and the memory, and configured to:
retrieve, from the first sensor, a set of sensor data,
in response to retrieving the set of sensor data, detect, by an initial motion recognition algorithm, a change in motion of a target relative to the electronic device based on analyzing the set of sensor data,
in response to detecting the change in motion, cause the memory to cache the set of sensor data and initiate a supplemental motion recognition algorithm, in response to initiating the supplemental motion recognition algorithm, retrieve, from the memory, the set of sensor data that was cached,
analyze, by the supplemental motion recognition algorithm, the set of sensor data that was retrieved from the memory,
in response to analyzing the set of sensor data that was retrieved from the memory, confirm, by the supplemental motion recognition algorithm, the change in motion,
in response to confirming the change in motion, retrieve, from the second sensor, an additional set of sensor data, and
analyzing, by the supplemental motion recognition algorithm, the additional set of sensor data.

6. The electronic device of claim 5 , wherein the processor is further configured to:
remove at least a portion of the set of sensor data that was cached in the memory, wherein at least the portion of the set of sensor data does not indicate motion.

7. The electronic device of claim 6 , wherein the processor analyzes, by the supplemental motion recognition algorithm, the set of sensor data having at least the portion removed therefrom.

8. The electronic device of claim 5 , wherein the processor is further configured to:
fail to detect an additional change in motion based on analyzing, by the supplemental motion recognition algorithm, the additional set of sensor data, and
terminate the supplemental motion recognition algorithm.

9. A computer-implemented method of managing motion detection features on an electronic device, the computer-implemented method comprising:
retrieving, by a processor from a sensor of the electronic device operating in a first sensitivity mode, a first set of first mode sensor data;
in response to retrieving the first set of first mode sensor data, detecting, by an initial motion recognition algorithm executed by the processor, a first change in motion of a target relative to the electronic device based on analyzing the first set of first mode sensor data;
in response to detecting the first change in motion:
retrieving, by the processor from the sensor operating in a second sensitivity mode, a set of second mode sensor data,
caching the set of second mode sensor data in a memory of the electronic device,
retrieving, by the processor from the sensor operating in the first sensitivity mode, a second set of first mode sensor data, and
initiating, by the processor, a supplemental motion recognition algorithm;

in response to initiating the supplemental motion recognition algorithm, retrieving, from the memory, the set of second mode sensor data;
analyzing, by the supplemental motion recognition algorithm, the set of second mode sensor data that was retrieved from the memory;
in response to analyzing the set of sensor mode sensor data that was retrieved from the memory, detecting, by the supplemental motion recognition algorithm, a second change in motion of the target relative to the electronic device;
in response to detecting the second change in motion, retrieve, by the processor from the sensor operating in the second sensitivity mode, a second set of second mode sensor data; and
analyzing, by the supplemental motion recognition algorithm, the second set of second mode sensor data.

10. The computer-implemented method of claim 9 , further comprising:
analyzing, by the initial motion recognition algorithm, the second set of first mode sensor data.

11. The computer-implemented method of claim 9 , further comprising:
removing at least a portion of the set of second mode sensor data that was cached in the memory, wherein at least the portion of the set of second mode sensor data does not indicate motion;
and wherein the set of second mode sensor data that was cached in the memory comprises:
analyzing, by the supplemental motion recognition algorithm initiated by the processor, the set of second mode sensor data having at least the portion removed therefrom.

12. The computer-implemented method of claim 9 , further comprising:
terminating, by the processor, the supplemental motion recognition algorithm.

13. The computer-implemented method of claim 12 , wherein terminating the supplemental motion recognition algorithm comprises:
failing to detect a change in motion relative to the electronic device based on analyzing, by the supplemental motion recognition algorithm, the set of second mode sensor data that was cached in the memory; and
terminating the supplemental motion recognition algorithm.

14. The computer-implemented method of claim 1 , wherein the sensor is a radar sensor.

15. The computer-implemented method of claim 1 , wherein the additional sensor is an ultrasound sensor.

16. The computer-implemented method of claim 1 , further comprising:
based on analyzing the additional set of sensor data, detecting a gesture performed by the target.

17

Assignees

• Google Llc

Inventors

• Felch Andrew
• Findeisen Christopher
• Chen Jinjie
• Alexander Mark
• Shi Shang
• Wang Zhuo

Classifications

• G01S13/62 Primary

  Sense-of-movement determination {(G01S13/589 takes precedence)} · CPC title

• G01S15/62

  Sense-of-movement determination {(G01S15/588 takes precedence)} · CPC title

• G06N20/00

  Machine learning · CPC title

• G01S7/539 Primary

  using analysis of echo signal for target characterisation; Target signature; Target cross-section · CPC title

• G01S15/58

  Velocity or trajectory determination systems; Sense-of-movement determination systems {(velocity measurement in imaging systems G01S15/8979)} · CPC title