caa a22 4500 605447160 CHVBK 20210128100130.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2111-2 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2111-2 Threshold selection and adjustment for online segmentation of one-stroke finger gestures using single tri-axial accelerometer [Elektronische Daten] [Yinghui Zhou, Zixue Cheng, Lei Jing] Online segmentation of continuous gestures is a key issue in accelerometer-based gesture recognition. The challenge is to segment short-duration, ambiguous, and individually different gestures by an accurate method for online applications. In this paper, we propose a threshold-based method for the online segmentation of one-stroke gestures using a single tri-axial accelerometer on a finger. The method first obtains a proper initial threshold based on Bayes decision theory to ensure accurate initial segmentation, and then an adaptation mechanism is designed to automatically adjust the threshold to improve user-dependent accuracy. A dataset of over 1,200 samples from 12 gestures and 25 subjects is created for evaluation. The results show that our method achieves high segmentation precision/recall and high user-dependent adaptability with low computational complexity. Springer Science+Business Media New York, 2014 Wearable computing nationallicence Gesture recognition nationallicence Online segmentation nationallicence Adaptive threshold nationallicence One-stroke gestures nationallicence Zhou Yinghui Graduate School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut Cheng Zixue School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut Jing Lei School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9387-9406 1380-7501 74:21<9387 2015 74 11042 https://doi.org/10.1007/s11042-014-2111-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2111-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhou Yinghui Graduate School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut NATIONALLICENCE 700 1- Cheng Zixue School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut NATIONALLICENCE 700 1- Jing Lei School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9387-9406 1380-7501 74:21<9387 2015 74 11042