Design of light finger tap classifying system using bio-acoustic signals생체 진동 신호를 이용한 가벼운 손가락 탭 제스처 구분 시스템 디자인

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 406
  • Download : 0
A system that recognizes light hand gestures is necessary to improve the usability of wearable devices. Thus, this paper proposes a real-time system that classifies the bio-acoustic signals of three light finger tap gestures done by the device-wearing hand using the index (index-tap), middle (middle-tap) and ring (ring-tap) which lightly tap the thumb of the same hand. The system detects body conducted acoustic vibrations that occur from the finger gestures of a user. It classifies the gestures using the frequency information of the signal and a machine learning technique. The accuracy of the system was evaluated with a real-time application for two simulated situations. The two situations were when a user uses the system for the first time and when a user uses the system continually. The system has an accuracy of about 80% for both the situations. The middle-tap gesture had the lowest accuracy. Finally, this paper discusses possible factors that decreases the accuracy of the system and further research directions.
Advisors
Lee, Geehyukresearcher이기혁researcher
Description
한국과학기술원 :전산학부,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전산학부, 2017.2,[iv, 36 p. :]

Keywords

HCI; Bio Acoustic Sensing; Finger Gesture; Machine Learning; 인간 컴퓨터 상호작용; 바이오 어쿠스틱 센싱; 손가락 제스처; 머신 러닝

URI
http://hdl.handle.net/10203/243412
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675481&flag=dissertation
Appears in Collection
CS-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0