SVM classification of locomotion modes using surface electromyography for applications in rehabilitation robotics

E. Ceseracciu*, M. Reggiani, Z. Sawacha, M. Sartori, F. Spolaor, C. Cobelli, E. Pagello

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

17 Citations (Scopus)

Abstract

The next generation of tools for rehabilitation robotics requires advanced human-robot interfaces able to activate the device as soon as patient's motion intention is raised. This paper investigated the suitability of Support Vector Machine (SVM) classifiers for identification of locomotion intentions from surface electromyography (sEMG) data. A phasedependent approach, based on foot contact and foot push off events, was employed in order to contextualize muscle activation signals. Good accuracy is demonstrated on experimental data from three healthy subjects. Classification has also been tested for different subsets of EMG features and muscles, aiming to identify a minimal setup required for the control of an EMGbased exoskeleton for rehabilitation purposes.

Original languageEnglish
Title of host publication19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 13 Dec 2010
Externally publishedYes
Event19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
Duration: 12 Sep 201015 Sep 2010
Conference number: 19

Conference

Conference19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
Abbreviated titleRO-MAN 2010
CountryItaly
CityViareggio
Period12/09/1015/09/10

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    Ceseracciu, E., Reggiani, M., Sawacha, Z., Sartori, M., Spolaor, F., Cobelli, C., & Pagello, E. (2010). SVM classification of locomotion modes using surface electromyography for applications in rehabilitation robotics. In 19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010 (pp. 165-170). [5598664] https://doi.org/10.1109/ROMAN.2010.5598664