Title:
ELECTRONIC DEVICE FOR IDENTIFYING FORCE TOUCH AND METHOD FOR OPERATING SAME
Document Type and Number:
WIPO Patent Application WO/2022/158692
Kind Code:
A1
Abstract:
A method for identifying a force touch with respect to a user's touch input by an electronic device is provided, the method comprising: receiving at least one sample input from a user; acquiring feature information regarding the at least one sample input; acquiring multiple force touch models for identifying a force touch; acquiring feature information regarding at least one touch input, which is included in learning data used for learning of the multiple force touch models; determining a force touch model for identification of a force touch, among the multiple force touch models on the basis of the similarity between the feature information obtained with respect to the multiple force touch models and the feature information regarding the sample input; and identifying the force touch with respect to the user's touch input on the basis of the determined force touch model.
Inventors:
BYUN DONGNAM (KR)
KIM DONGCHAN (KR)
HWANG JINYOUNG (KR)
KIM DONGCHAN (KR)
HWANG JINYOUNG (KR)
Application Number:
PCT/KR2021/017280
Publication Date:
July 28, 2022
Filing Date:
November 23, 2021
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06F3/041; G06N7/00; G06N20/20
Foreign References:
| KR20200014510A | 2020-02-11 | |||
| KR20190001434A | 2019-01-04 | |||
| KR101350782B1 | 2014-01-16 | |||
| KR20200142374A | 2020-12-22 |
Other References:
LIU YONG; GAO SHUO; HUANG ANBIAO; ZHU JIE; XU LIJUN; NATHAN AROKIA: "Ensemble Learning-Based Technique for Force Classifications in Piezoelectric Touch Panels", IEEE SENSORS JOURNAL, IEEE, USA, vol. 20, no. 16, 13 April 2020 (2020-04-13), USA, pages 9540 - 9549, XP011799730, ISSN: 1530-437X, DOI: 10.1109/JSEN.2020.2987768
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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