IP Library Granted Patent US 12,646,352
Granted Patent B2
US 12,646,352 · App. 18/196,250 · Granted Jun 2, 2026

Electronic device unlocked and controlled by gesture recognition

Inventors: Ning Shyu (Hsin-Chu County, TW); Shih-Feng Chen (Hsin-Chu County, TW); Han-Lin Chiang (Hsin-Chu County, TW); Yen-Min Chang (Hsin-Chu County, TW); Guo-Zhen Wang (Hsin-Chu County, TW)
Assignee: PIXART IMAGING INC.
G06V40/161A61B5/0008A61B5/01A61B5/015A61B5/1114A61B5/1176A61B5/681A61B5/6898A61B5/742A61B5/746G01J5/0025G01J5/026G06F18/22G06F18/251G06F21/32G06V10/143G06V10/761G06V10/803G06V40/113G06V40/168G06V40/172G06V40/20G06V40/28G06V40/45A61B5/1123A61B5/1171A61B5/4839A61B5/6893A61B2560/0242A61B2560/0252G01J2005/0077G06V40/117G06V40/16
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Quick Facts
Patent No.
US 12,646,352
App. No.
18/196,250
Granted
Jun 2, 2026
Kind
B2
Abstract

There is provided an electronic device capable of improving the difficulty of breaking a digital electronic lock and the accuracy of gesture control. The electronic device is unlocked according to gestures of a single hand or two hands, an operation hand, a gesture position, a staying time of gesture and a gesture variation of a user. The electronic device further improves the accuracy of gesture control in conjunction with an accessory pattern, temperature sensing and space information of a wearable device. The present disclosure further provides an electronic device that identifies legitimacy of moving the electronic device according to a variation sequence of 3-axis accelerations of an accelerometer.

Claims (22)

1 . An electronic device, comprising:

an image sensor, configured to output an image frame for detecting a human face image;

a gesture sensor, configured to generate a gesture detection signal; and

a processor, configured to

recognize whether any facial feature of a human face is covered by an object or not according to the human face image,

recognize a gesture combination according to the gesture detection signal after no facial feature of the human face is recognized being covered, and

unlock a digital electronic lock of the electronic device when the gesture combination is recognized matching a predetermined condition to replace unlocking the digital electronic lock by physiological characteristics,

wherein the gesture combination comprises a static two-hand gesture staying for a predetermined seconds to unlock the digital electronic lock.

2 . The electronic device as claimed in claim 1 , further comprising a thermal sensor configured to output a thermal image, wherein the processor is further configured to identify whether a temperature of the human face and a hand temperature match a predetermined temperature according to the thermal image.

3 . The electronic device as claimed in claim 1 , wherein the gesture sensor is the image sensor, a millimeter wave radar or a time-of-flight sensor.

4 . The electronic device as claimed in claim 1 , wherein the processor is further configured not to recognize the gesture combination when the facial feature of the human face is recognized being covered by the object.

5 . The electronic device as claimed in claim 1 , wherein the processor is further configured to send the human face image to a portable device for being confirmed by a user when the gesture combination is recognized not matching the predetermined condition.

6 . The electronic device as claimed in claim 1 , wherein

the gesture combination further comprises a combination of a static single hand gesture, an operation hand of the static single hand gesture, a gesture position of the static single hand gesture and a staying time of the static single hand gesture, and

the electronic device further comprises a display or is wirelessly coupled to a display, and the display is configured to show the gesture position and the staying time of gesture.

7 . The electronic device as claimed in claim 1 , wherein

the gesture combination further comprises a combination of a static single hand gesture, an operation hand of the static single hand gesture, operation hands of the static two-hand gesture, a gesture position of the static single hand gesture, and a staying time of the static single hand gesture, and

the electronic device further comprises a display or is wirelessly coupled to a display, and the display is configured to show the gesture position, the gesture positions, the staying times and the staying time of gesture.

8 . The electronic device as claimed in claim 1 , wherein the gesture combination further comprises a combination of a dynamic gesture variation, a position variation, a moving direction and a moving speed of a single hand.

9 . The electronic device as claimed in claim 1 , wherein

the gesture combination further comprises a predetermined pixel region of the image frame in which the static two-hand gesture staying for the predetermined seconds, and

the digital electronic lock is unlocked when the static two-hand gesture stays in the predetermined pixel region for the predetermined seconds.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 11, 2023
From: SHYU, NING; CHEN, SHIH-FENG; CHIANG, HAN-LIN; CHANG, YEN-MIN; WANG, GUO-ZHEN
To: PIXART IMAGING INC.
Reel/Frame 063615/0726 →
Priority Claims (1)
TW 105117190 · Jun 1, 2016 · national
Continuity (5)
Continuation In Part 17470358 · Sep 9, 2021
Continuation In Part 17334600 · May 28, 2021
Division 16442783 · Jun 17, 2019
Continuation 15371909 · Dec 7, 2016
Related Publication 20230282023A1 · Sep 7, 2023
References Cited (69)
US 5689241A · Clarke, Sr. · 1997 [cited by applicant]
US 6529617B1 · Prokoski · 2003 [cited by applicant]
US 8233047B2 · Shimbo et al. · 2012 [cited by applicant]
US 8558759B1 · Prada Gomez · 2013 [cited by examiner]
US 9298267B2 · Lim · 2016 [cited by examiner]
US 9529513B2 · Balan · 2016 [cited by examiner]
US 9603566B2 · Chen · 2017 [cited by applicant]
US 9928413B2 · Baca · 2018 [cited by examiner]
US 10029047B2 · Gupta et al. · 2018 [cited by applicant]
US 10579153B2 · Smith · 2020 [cited by examiner]
US 10606364B2 · Smith · 2020 [cited by examiner]
US 10642369B2 · Iyer · 2020 [cited by examiner]
US 10650036B2 · Kimura et al. · 2020 [cited by applicant]
US 10691943B1 · Ferstl et al. · 2020 [cited by applicant]
US 10936051B2 · Iyer · 2021 [cited by examiner]
US 10970373B2 · Lee · 2021 [cited by examiner]
US 11157605B2 · Guo et al. · 2021 [cited by applicant]
US 11328152B2 · Chen et al. · 2022 [cited by applicant]
US 11350167B2 · Lee · 2022 [cited by applicant]
US 11606493B2 · Mishra · 2023 [cited by applicant]
US 11615642B2 · Chen et al. · 2023 [cited by applicant]
US 11615871B2 · Gupta et al. · 2023 [cited by applicant]
US 11677900B2 · Nakamura · 2023 [cited by examiner]
US 11789527B1 · Bilous · 2023 [cited by applicant]
US 12314466B2 · Bilous · 2025 [cited by examiner]
US 20100289912A1 · Katz · 2010 [cited by examiner]
US 20130281883A1 · Nishida · 2013 [cited by applicant]
US 20130342691A1 · Lewis et al. · 2013 [cited by applicant]
US 20150040040A1 · Balan · 2015 [cited by examiner]
US 20150323388A1 · Kostic et al. · 2015 [cited by applicant]
US 20150373307A1 · Huang et al. · 2015 [cited by applicant]
US 20160034747A1 · Jo et al. · 2016 [cited by applicant]
US 20160162039A1 · Eilat · 2016 [cited by examiner]
US 20180075032A1 · Kimura · 2018 [cited by examiner]
US 20180189547A1 · Daniels et al. · 2018 [cited by applicant]
US 20190328312A1 · Schroeder · 2019 [cited by examiner]
US 20190384405A1 · Iyer · 2019 [cited by examiner]
US 20190384406A1 · Smith · 2019 [cited by examiner]
US 20190384407A1 · Smith · 2019 [cited by examiner]
US 20200019681A1 · Shoenfeld · 2020 [cited by applicant]
US 20200042683A1 · Lee · 2020 [cited by examiner]
US 20200097065A1 · Iyer · 2020 [cited by examiner]
US 20200159368A1 · Han et al. · 2020 [cited by applicant]
US 20200160081A1 · Nakamura · 2020 [cited by applicant]
US 20200238952A1 · Lindsay et al. · 2020 [cited by applicant]
US 20210294482A1 · Ikeda · 2021 [cited by examiner]
US 20210397817A1 · Su et al. · 2021 [cited by applicant]
US 20210401291A1 · Schriek et al. · 2021 [cited by applicant]
US 20220203996A1 · Katz · 2022 [cited by examiner]
US 20230027040A1 · Wang · 2023 [cited by examiner]
US 20240036639A1 · Bilous · 2024 [cited by applicant]
CN 107084795A · 2017 [cited by applicant]
CN 108416968A · 2018 [cited by applicant]
CN 109377628A · 2019 [cited by applicant]
CN 105956520B · 2019 [cited by applicant]
CN 112101216A · 2020 [cited by examiner]
CN 112733632A · 2021 [cited by examiner]
JP 2015161476A · 2015 [cited by applicant]
JP 2019010927A · 2019 [cited by examiner]
WO WO2008066130A1 · 2008 [cited by applicant]
WO WO2020097830A1 · 2020 [cited by examiner]
JP-2019010927-A (machine translation) (Year: 2019). [cited by examiner]
CN-112733632-A (machine translation) (Year: 2021). [cited by examiner]
WO-2020097830-A1 (machine translation) (Year: 2020). [cited by examiner]
CN-112101216-A (Year: 2020). [cited by examiner]
Miaou et al., “A customized human fall detection system using omni- camera images and personal information.” In 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2., pp. 39-42. IEEE… [cited by applicant]
Toreyin et al., “Falling person detection using multi-sensor signal processing.” EURASIP Journal on Advances in Signal Processing 2008 (2007): 1-7, Hindawi Publishing Corporation. [cited by applicant]
Marrin et al., “A meta-analytic approach to quantify the dose-response relationship between melatonin and core temperature.” European Journal of Applied Physiology 113 (2013): 2323-2329. (Year:2013). [cited by applicant]
Renevey et al., “Photoplethysmography-Based Bracelet for Automatic Sleep Stages Classification: Preliminary Results”, Iasted 2014, Zurich,Switzerland (Year: 2014). [cited by applicant]