Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6951283 | Biomedical Signal Processing and Control | 2016 | 8 Pages |
Abstract
We presented the intuitive use of spectral features via circulant matrices. The proposed Spectral Collaborative Representation based Classification (SCRC) is able to recognize gestures with higher levels of accuracy for a fairly rich gesture set compared to the available methods. The worst recognition result which is the best in the literature is obtained as 97.3% among the four sets of the experiments for each hand gestures. The recognition results are reported with a substantial number of experiments and labeling computation.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Ali Boyali, Naohisa Hashimoto,