Title:
READING/WRITING DISTANCE RECOGNITION METHOD BASED ON SMART WATCH
Document Type and Number:
WIPO Patent Application WO/2021/093896
Kind Code:
A1
Abstract:
A reading/writing distance recognition method based on a smart watch. The reading/writing distance recognition method based on the smart watch comprises: collecting acceleration data and gyroscope data built in a smart watch (S1); determining, on the basis of the acceleration data and the gyroscope data, whether a user wearing the smart watch is in a writing state or not, and obtaining a determination result (S2); when the determination result is yes, starting a distance measurement unit embedded in the smart watch to measure a distance between the head of the user and the smart watch, and obtaining measurement data (S3); analyzing, on the basis of the measurement data, whether the current reading/writing distance of the user is in compliant or not, and obtaining an analysis result (S4). By adopting the reading/writing distance recognition method based on the smart watch, whether ta sitting posture of the user in a reading/writing process is correct or not can accurately determined, and reading/writing distance measurement data and reading/writing duration statistics data are provided for the user; and because the distance measurement unit needs to be started when the user is in the reading/writing state, energy consumption can be saved, and the using time of the smart watch is prolonged.
Inventors:
YAN JIAHOU (CN)
Application Number:
PCT/CN2020/133481
Publication Date:
May 20, 2021
Filing Date:
December 03, 2020
Export Citation:
Assignee:
YAN JIAHOU (CN)
International Classes:
G04G21/02; G01S15/08; G01S17/08; G04G13/00
Foreign References:
| CN110850706A | 2020-02-28 | |||
| CN104063998A | 2014-09-24 | |||
| CN109491520A | 2019-03-19 | |||
| CN204576767U | 2015-08-19 | |||
| CN107680351A | 2018-02-09 | |||
| CN205080722U | 2016-03-09 | |||
| CN201562133U | 2010-08-25 | |||
| US20150160622A1 | 2015-06-11 |
Attorney, Agent or Firm:
BEIJING CROWN & RIGHTS LAW FIRM (CN)
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