Hand Gesture Segmentation Method using a Wrist-Worn Wearable Device

Dong-Woo Lee; Yong-Ki Son; Bae-Sun Kim; Minkyu Kim; Hyun-Tae Jeong; Il-Yeon Cho

추천

검색

질문

자료유형: 학술저널

저자정보: Dong-Woo Lee (ETRI (Electronics and Telecommunications Research Institute)) Yong-Ki Son (ETRI (Electronics and Telecommunications Research Institute)) Bae-Sun Kim (ETRI (Electronics and Telecommunications Research Institute)) Minkyu Kim (ETRI (Electronics and Telecommunications Research Institute)) Hyun-Tae Jeong (ETRI (Electronics and Telecommunications Research Institute)) Il-Yeon Cho (ETRI (Electronics and Telecommunications Research Institute))

저널정보: 대한인간공학회 대한인간공학회지 대한인간공학회지 제34권 제5호

발행연도: 2015.10

수록면: 541 - 548 (8page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Objective: We introduce a hand gesture segmentation method using a wrist-worn wearable device which can recognize simple gestures of clenching and unclenching ones" fist.
Background: There are many types of smart watches and fitness bands in the markets. And most of them already adopt a gesture interaction to provide ease of use. However, there are many cases in which the malfunction is difficult to distinguish between the user"s gesture commands and user"s daily life motion. It is needed to develop a simple and clear gesture segmentation method to improve the gesture interaction performance.
Method: At first, we defined the gestures of making a fist (start of gesture command) and opening one"s fist (end of gesture command) as segmentation gestures to distinguish a gesture. The gestures of clenching and unclenching one"s fist are simple and intuitive. And we also designed a single gesture consisting of a set of making a fist, a command gesture, and opening one"s fist in order. To detect segmentation gestures at the bottom of the wrist, we used a wrist strap on which an array of infrared sensors (emitters and receivers) were mounted. When a user takes gestures of making a fist and opening one"s a fist, this changes the shape of the bottom of the wrist, and simultaneously changes the reflected amount of the infrared light detected by the receiver sensor.
Results: An experiment was conducted in order to evaluate gesture segmentation performance. 12 participants took part in the experiment: 10 males, and 2 females with an average age of 38. The recognition rates of the segmentation gestures, clenching and unclenching one"s fist, are 99.58% and 100%, respectively.
Conclusion: Through the experiment, we have evaluated gesture segmentation performance and its usability. The experimental results show a potential for our suggested segmentation method in the future.
Application: This can be adopted to user interface for fashion apparel such as a smart watch and wrist band.

#Gesture segmentation #Wearable computer #Adaptive threshold #Smart apparel

참고문헌 (5)

참고문헌 신청

[학술지(정기간행물)] - Alon, J. / 2009 / A unified framework for gesture recognition and spatiotemporal gesture segmentation / IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (9) : 1685 ~ 1699

[학술지(정기간행물)] - Junker, H. / 2008 / Gesture spotting with body-worn inertial sensors to detect user activities / Pattern Recognition 41 (6) : 2010 ~ 2024

[학술대회논문] - Kahol, K. / 2003 / Gesture segmentation in complex motion sequences / Proceedings of the International Conference on Image Processing : 105 ~ 108

[학술지(정기간행물)] - Kulkarni, V.S. / 2010 / Appearance based recognition of american sign language using gesture segmentation / International Journal on Computer Science and Engineering 2 (3) : 560 ~ 565

[학술지(정기간행물)] - Otsu, N / 1979 / A threshold selection method from gray-level histograms, IEEE Transactions on Systems / Man, and Cybernetics 9 (1) : 62 ~ 66

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이동우

소속기관 한국전자통신연구원

주요연구분야 공학 > 산업공학 공학 > 전기전자공학 > 전자공학

논문수 2 이용수 85

Yong-Ki Son