TY - GEN
T1 - Locomotion classification using emg signal - A comparative study
AU - Pati, Sarthak
AU - Joshi, Deepak
AU - Mishra, Ashutosh
PY - 2010/12/30
Y1 - 2010/12/30
N2 - This work gives a comparative study on the use of Linear Discriminant Analysis (LDA), Artificial Neural Network (ANN) and Naive-Bayes Classifier (NBC) for recognizing various locomotion modes using parameters derived from the transient EMG signals taken from healthy subjects and thus provide a better control mechanism for lower limb prosthesis. These classifiers have been taken into consideration owing to their extensive use in various realtion, time applications.
AB - This work gives a comparative study on the use of Linear Discriminant Analysis (LDA), Artificial Neural Network (ANN) and Naive-Bayes Classifier (NBC) for recognizing various locomotion modes using parameters derived from the transient EMG signals taken from healthy subjects and thus provide a better control mechanism for lower limb prosthesis. These classifiers have been taken into consideration owing to their extensive use in various realtion, time applications.
UR - https://www.scopus.com/pages/publications/78650568449
UR - https://www.scopus.com/inward/citedby.url?scp=78650568449&partnerID=8YFLogxK
U2 - 10.1109/ICIET.2010.5625677
DO - 10.1109/ICIET.2010.5625677
M3 - Conference contribution
AN - SCOPUS:78650568449
SN - 9781424480012
T3 - 2010 International Conference on Information and Emerging Technologies, ICIET 2010
BT - 2010 International Conference on Information and Emerging Technologies, ICIET 2010
T2 - 2nd International Conference on Information and Emerging Technologies, ICIET 2010
Y2 - 14 June 2010 through 16 June 2010
ER -