Abstract
A subunit-based Dynamic Time Warping (DTW) approach is proposed for hand movement recognition. Two major contributions distinguish the proposed approach from conventional DTW. (1) A set of hand movement subunits is constructed using a data-driven method. The common sub-movements (subunits) are shared across hand gestures to obtain a smaller training data size and search space to improve recognition performance. (2) A similarity measure robust to variability is offered using subunit-to-subunit matching to absorb the difference between two similar sub-sequences belonging to the same subunit, and only keeping the distances between sub-sequences that relate to different subunits. Our experimental results demonstrate the efficiency and accuracy of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Image Analysis and Processing, ICIAP 2013 - 17th International Conference, Proceedings |
| Pages | 672-681 |
| Number of pages | 10 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - Oct 3 2013 |
| Event | 17th International Conference on Image Analysis and Processing, ICIAP 2013 - Naples, Italy Duration: Sep 9 2013 → Sep 13 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 8156 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 17th International Conference on Image Analysis and Processing, ICIAP 2013 |
|---|---|
| Country | Italy |
| City | Naples |
| Period | 9/9/13 → 9/13/13 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
A subunit-based dynamic time warping approach for hand movement recognition. / Wang, Yanrung; Shimada, Atsushi; Yamashita, Takayoshi; Taniguchi, Rin Ichiro.
Image Analysis and Processing, ICIAP 2013 - 17th International Conference, Proceedings. PART 1. ed. 2013. p. 672-681 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8156 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A subunit-based dynamic time warping approach for hand movement recognition
AU - Wang, Yanrung
AU - Shimada, Atsushi
AU - Yamashita, Takayoshi
AU - Taniguchi, Rin Ichiro
PY - 2013/10/3
Y1 - 2013/10/3
N2 - A subunit-based Dynamic Time Warping (DTW) approach is proposed for hand movement recognition. Two major contributions distinguish the proposed approach from conventional DTW. (1) A set of hand movement subunits is constructed using a data-driven method. The common sub-movements (subunits) are shared across hand gestures to obtain a smaller training data size and search space to improve recognition performance. (2) A similarity measure robust to variability is offered using subunit-to-subunit matching to absorb the difference between two similar sub-sequences belonging to the same subunit, and only keeping the distances between sub-sequences that relate to different subunits. Our experimental results demonstrate the efficiency and accuracy of the proposed approach.
AB - A subunit-based Dynamic Time Warping (DTW) approach is proposed for hand movement recognition. Two major contributions distinguish the proposed approach from conventional DTW. (1) A set of hand movement subunits is constructed using a data-driven method. The common sub-movements (subunits) are shared across hand gestures to obtain a smaller training data size and search space to improve recognition performance. (2) A similarity measure robust to variability is offered using subunit-to-subunit matching to absorb the difference between two similar sub-sequences belonging to the same subunit, and only keeping the distances between sub-sequences that relate to different subunits. Our experimental results demonstrate the efficiency and accuracy of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=84884727818&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884727818&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41181-6_68
DO - 10.1007/978-3-642-41181-6_68
M3 - Conference contribution
AN - SCOPUS:84884727818
SN - 9783642411809
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 672
EP - 681
BT - Image Analysis and Processing, ICIAP 2013 - 17th International Conference, Proceedings
ER -