TY  - JOUR 
AU  - Koskimaki, Heli
AU  - Siirtola, Pekka
PY  - 2016
SN  - 2255-2863
UR  - http://hdl.handle.net/10366/132090
AB  - In this study, information from wearable sensors is used to recognize human activities. Commonly the approaches are based on accelerometer data while in this study the potential of electromyogram (EMG) signals in activity recognition is studied. The...
LA  - eng
PB  - Ediciones Universidad de Salamanca (EspaÑa)
KW  - Computación
KW  - Informótica
KW  - Computing
KW  - Information Technology
TI  - Accelerometer vs. Electromyogram in Activity Recognition
ER  -