TY - GEN
T1 - Human activity recognition from environmental background sounds for Wireless Sensor Networks
AU - Zhan, Yi
AU - Miura, Shun
AU - Nishimura, Jun
AU - Kuroda, Tadahiro
PY - 2007/10/1
Y1 - 2007/10/1
N2 - Sound feature extraction Mel Frequency Cepstral Coefficients (MFCC) and classification Dynamic Time Warping (DTW) algorithms are applied to recognizing the background sounds in the human daily activities. Applying these algorithms to fourteen typical daily activity sounds, average recognition accuracy of 92.5% can be achieved. In these algorithms, how two parameters (Le., Mel filters number and frame-to-frame overlap) affect system's calculation burden and accuracy is also investigated, By adjusting these two parameters to a suitable combination, the calculation burden can be reduced by 61.6% while maintaining the system's average accuracy rate at approximate 90%. This is promising for future integrating with other sensor(s) to fulfill daily activity recognition work by using power aware Wireless Sensor Networks (WSN) system.
AB - Sound feature extraction Mel Frequency Cepstral Coefficients (MFCC) and classification Dynamic Time Warping (DTW) algorithms are applied to recognizing the background sounds in the human daily activities. Applying these algorithms to fourteen typical daily activity sounds, average recognition accuracy of 92.5% can be achieved. In these algorithms, how two parameters (Le., Mel filters number and frame-to-frame overlap) affect system's calculation burden and accuracy is also investigated, By adjusting these two parameters to a suitable combination, the calculation burden can be reduced by 61.6% while maintaining the system's average accuracy rate at approximate 90%. This is promising for future integrating with other sensor(s) to fulfill daily activity recognition work by using power aware Wireless Sensor Networks (WSN) system.
KW - Calculation burden
KW - DTW
KW - MFCC
KW - Sound recognition
KW - WSN
UR - http://www.scopus.com/inward/record.url?scp=34748864703&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34748864703&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2007.372796
DO - 10.1109/ICNSC.2007.372796
M3 - Conference contribution
AN - SCOPUS:34748864703
SN - 1424410762
SN - 9781424410767
T3 - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
SP - 307
EP - 312
BT - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
T2 - 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
Y2 - 15 April 2007 through 17 April 2007
ER -