Cross county sking synchroinized Video + sEMG data

This database were used to evaluate algorithm for detection of movement cycles based on the video and sEMG signal. The movement cycle identification is necessary for the calculation of an average sEMG profiles which are used to analyze a muscle activity during various locomotion. This database contains 7 data sets every 20.5 second of synchronous sEMG and video signals recorded during cross-country skiing in natural environment. The database was stored in CSS_data.zip file. The MATLAB mat-file format was used to save data. Please cite as following: [1] Sedlák, J. - Špulák, D. - Čmejla, R. - Bačáková, R.B. - Chrástková, Martina - et al. : Segmentation of Surface EMG Signals. In Applied Electronics - 2013 International Conference on Applied Electronics. Pilsen: University of West Bohemia, 2013, p. 257-260. ISSN 1803-7232. ISBN 978-80-261-0166-6.