Abstract
In a field of pattern recognition, researches of feature extraction and dimension reduction using the Simple-PCA that is an approximation algorithm of the principal component analysis (PCA) are actively conducted. In such a statistical method, a lot of algorithms that perform incremental learning by using new incremental data exist. For example, there is an algorithm named Incremental PCA for PCA. However, the algorithm capable of performing incremental learning to the Simple-PCA has not been presented yet. In this paper, we propose Incremental Simple-PCA that introduces an incremental learning function to the Simple-PCA. Moreover, the effectiveness of this algorithm is verified in EMG pattern recognition.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the SICE Annual Conference |
| Pages | 2819-2822 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan Duration: 2007 Sep 17 → 2007 Sep 20 |
Other
| Other | SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 |
|---|---|
| Country | Japan |
| City | Takamatsu |
| Period | 07/9/17 → 07/9/20 |
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Keywords
- EMG
- Incremental learning
- Incremental simple-PCA
- Pattern recognition
- Simple-PCA
ASJC Scopus subject areas
- Engineering(all)
Cite this
Incremental learning method in wrist EMG recognition system. / Oyama, Tadahiro; Matsumura, Yuji; Karungaru, Stephen; Tsuge, Satoru; Mitsukura, Yasue; Fukumi, Minoru.
Proceedings of the SICE Annual Conference. 2007. p. 2819-2822 4421468.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Incremental learning method in wrist EMG recognition system
AU - Oyama, Tadahiro
AU - Matsumura, Yuji
AU - Karungaru, Stephen
AU - Tsuge, Satoru
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
PY - 2007
Y1 - 2007
N2 - In a field of pattern recognition, researches of feature extraction and dimension reduction using the Simple-PCA that is an approximation algorithm of the principal component analysis (PCA) are actively conducted. In such a statistical method, a lot of algorithms that perform incremental learning by using new incremental data exist. For example, there is an algorithm named Incremental PCA for PCA. However, the algorithm capable of performing incremental learning to the Simple-PCA has not been presented yet. In this paper, we propose Incremental Simple-PCA that introduces an incremental learning function to the Simple-PCA. Moreover, the effectiveness of this algorithm is verified in EMG pattern recognition.
AB - In a field of pattern recognition, researches of feature extraction and dimension reduction using the Simple-PCA that is an approximation algorithm of the principal component analysis (PCA) are actively conducted. In such a statistical method, a lot of algorithms that perform incremental learning by using new incremental data exist. For example, there is an algorithm named Incremental PCA for PCA. However, the algorithm capable of performing incremental learning to the Simple-PCA has not been presented yet. In this paper, we propose Incremental Simple-PCA that introduces an incremental learning function to the Simple-PCA. Moreover, the effectiveness of this algorithm is verified in EMG pattern recognition.
KW - EMG
KW - Incremental learning
KW - Incremental simple-PCA
KW - Pattern recognition
KW - Simple-PCA
UR - http://www.scopus.com/inward/record.url?scp=50249120683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249120683&partnerID=8YFLogxK
U2 - 10.1109/SICE.2007.4421468
DO - 10.1109/SICE.2007.4421468
M3 - Conference contribution
AN - SCOPUS:50249120683
SN - 4907764286
SN - 9784907764289
SP - 2819
EP - 2822
BT - Proceedings of the SICE Annual Conference
ER -