Threshold selection and adjustment for online segmentation of one-stroke finger gestures using single tri-axial accelerometer
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| 024 | 7 | 0 | |a 10.1007/s11042-014-2111-2 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-2111-2 | ||
| 245 | 0 | 0 | |a Threshold selection and adjustment for online segmentation of one-stroke finger gestures using single tri-axial accelerometer |h [Elektronische Daten] |c [Yinghui Zhou, Zixue Cheng, Lei Jing] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Wearable computing |2 nationallicence | |
| 690 | 7 | |a Gesture recognition |2 nationallicence | |
| 690 | 7 | |a Online segmentation |2 nationallicence | |
| 690 | 7 | |a Adaptive threshold |2 nationallicence | |
| 690 | 7 | |a One-stroke gestures |2 nationallicence | |
| 700 | 1 | |a Zhou |D Yinghui |u Graduate School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | |
| 700 | 1 | |a Cheng |D Zixue |u School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | |
| 700 | 1 | |a Jing |D Lei |u School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9387-9406 |x 1380-7501 |q 74:21<9387 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-2111-2 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-2111-2 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhou |D Yinghui |u Graduate School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cheng |D Zixue |u School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jing |D Lei |u School of Computer Science and Engineering, University of Aizu, Ikki-machi, Tsuruga, 965-8580, Aizu-Wakamatsu, Fukushima, Japan |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9387-9406 |x 1380-7501 |q 74:21<9387 |1 2015 |2 74 |o 11042 | ||