TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Hand Gesture Recognition Method using Inertial Sensor for Rapid Operation on Embedded Device |
| 영문제목(English Title) |
A Hand Gesture Recognition Method using Inertial Sensor for Rapid Operation on Embedded Device |
| 저자(Author) |
Sangyub Lee
Jaekyu Lee
Hyeonjoong Cho
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| 원문수록처(Citation) |
VOL 14 NO. 02 PP. 0757 ~ 0770 (2020. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
We propose a hand gesture recognition method that is compatible with a head-up display (HUD) including small processing resource. For fast link adaptation with HUD, it is necessary to rapidly process gesture recognition and send the minimum amount of driver hand gesturedata from the wearable device. Therefore, we use a method that recognizes each hand gesture with an inertial measurement unit (IMU) sensor based on revised correlation matching. The method of gesture recognition is executed by calculating the correlation between every axis of the acquired data set. By classifying pre-defined gesture values and actions, the proposed method enables rapid recognition. Furthermore, we evaluate the performance of the algorithm, which can be implanted within wearable bands, requiring a minimal process load. The experimental results evaluated the feasibility and effectiveness of our decomposed correlation matching method. Furthermore, we tested the proposed algorithm to confirm the effectiveness of the system using pre-defined gestures of specific motions with a wearable platform device. The experimental results validated the feasibility and effectiveness of the proposed hand gesture recognition system. Despite being based on a very simple concept, the proposed algorithm showed good performance in recognition accuracy
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| 키워드(Keyword) |
Pattern recognition
hand gesture recognition
motion recognition
inter-correlation matching
HUD
IMU sensor
wearable device.
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| 파일첨부 |
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