LEARNING METHOD FOR IMPROVING GESTURE RECOGNITION PERFORMANCE IN ELECTRONIC DEVICE

Title:

LEARNING METHOD FOR IMPROVING GESTURE RECOGNITION PERFORMANCE IN ELECTRONIC DEVICE

Document Type and Number:

WIPO Patent Application WO/2023/096134

Kind Code:

A1

Abstract:

An electronic device according to one embodiment comprises: a memory for storing computer-executable instructions; and a processor for executing the instructions by accessing the memory, wherein the processor can input one target gesture sample into a decision tree network-based classifier, identify first leaves corresponding to one target gesture sample so as to be selected by tree, and increase, up to an update unit value, the compensation value of each of the identified first leaves so as to perform an uplink update of the classifier.

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Inventors:

CHUNG WONSUK (KR)
CHO WONJOON (KR)
KIM TAEYOON (KR)
PARK SUNGJIN (KR)
KIM CHEOLO (KR)
AHN JINYOUP (KR)
YOO BYUNGWOOK (KR)
LIM CHAEMAN (KR)
CHO YONGSANG (KR)

Application Number:

PCT/KR2022/014556

Publication Date:

June 01, 2023

Filing Date:

September 28, 2022

Export Citation:

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Assignee:

SAMSUNG ELECTRONICS CO LTD (KR)

International Classes:

G06V40/20; G04G21/00; G06F3/01; G06V10/764; G06V10/774; G06V10/98

Domestic Patent References:

WO2019133334A1

2019-07-04

Foreign References:

KR20140134803A	2014-11-25
US20160018872A1	2016-01-21
KR20140064693A	2014-05-28
KR20190094133A	2019-08-12

Attorney, Agent or Firm:

MUHANN PATENT & LAW FIRM (KR)

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