Using FSR based muscule activity monitoring to recognize manipulative arm gestures
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
[MARS] a real time motion capture and muscle fatigue monitoring tool
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Hi-index | 0.00 |
We present MARS, a muscle activity recognition system that uses inertial sensors to capture the vibrations of active muscle. Specifically, we demonstrate how accelerometer data capturing these vibrations in the quadriceps, hamstrings and calf muscles of the human leg, can be leveraged to create muscle vibration signatures. We finally show that these vibration signatures can be used to distinguish these muscles from each other with greater than 85% precision and recall.