Hand gesture recognition based on surface electromyography

Ali Akbar Samadani, Dana Kulic

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

40 Citations (Scopus)


Human hands are the most dexterous of human limbs and hand gestures play an important role in non-verbal communication. Underlying electromyograms associated with hand gestures provide a wealth of information based on which varying hand gestures can be recognized. This paper develops an inter-individual hand gesture recognition model based on Hidden Markov models that receives surface electromyography (sEMG) signals as inputs and predicts a corresponding hand gesture. The developed recognition model is tested with a dataset of 10 various hand gestures performed by 25 subjects in a leave-one-subject-out cross validation and an inter-individual recognition rate of 79% was achieved. The promising recognition rate demonstrates the efficacy of the proposed approach for discriminating between gesture-specific sEMG signals and could inform the design of sEMG-controlled prostheses and assistive devices.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
EditorsJeff Duerk, Jim Ji
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781424479290
ISBN (Print)9781424479276
Publication statusPublished - 2 Nov 2014
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2014 - Sheraton Chicago Hotel and Towers, Chicago, United States of America
Duration: 26 Aug 201430 Aug 2014
Conference number: 36th
https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/6923026/proceeding (Proceedings)
https://web.archive.org/web/20140331105330/http://embc.embs.org/2014/?page_id=120 (Website)


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2014
Abbreviated titleEMBC 2014
Country/TerritoryUnited States of America
Internet address

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