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손가락 동작 분류를 위한 니트 데이터 글러브 시스템

Title
손가락 동작 분류를 위한 니트 데이터 글러브 시스템
Other Titles
Knitted Data Glove System for Finger Motion Classification
Author
배지현
Keywords
Data Glove; Wearable Sensor; Fabric Strain Sensor; Motion Classification
Issue Date
2020-09
Publisher
한국로봇학회
Citation
로봇학회 논문지, v. 15, no. 3, page. 240-247
Abstract
This paper presents a novel knitted data glove system for pattern classification of hand posture. Several experiments were conducted to confirm the performance of the knitted data glove. To find better sensor materials, the knitted data glove was fabricated with stainless-steel yarn and silver-plated yarn as representative conductive yarns, respectively. The result showed that the signal of the knitted data glove made of silver-plated yarn was more stable than that of stainless-steel yarn according as the measurement distance becomes longer. Also, the pattern classification was conducted for the performance verification of the data glove knitted using the silver-plated yarn. The average classification reached at 100% except for the pointing finger posture, and the overall classification accuracy of the knitted data glove was 98.3%. With these results, we expect that the knitted data glove is applied to various robot fields including the human-machine interface.
URI
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002614943https://repository.hanyang.ac.kr/handle/20.500.11754/170931
ISSN
1975-6291; 2287-3961
DOI
10.7746/jkros.2020.15.3.240
Appears in Collections:
COLLEGE OF HUMAN ECOLOGY[S](생활과학대학) > CLOTHING & TEXTILES(의류학과) > Articles
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