Gesture Recognition by Analyzing Muscle Activity

Aleksey Levanov; Alexander Alfimcev

doi:10.4028/www.scientific.net/AMM.618.410

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 618Gesture Recognition by Analyzing Muscle Activity

Gesture Recognition by Analyzing Muscle Activity

Abstract:

By analyzing muscle activity with the BioPlux device multiple user gestures can be recognized. Gestures are independently selected from each other. Relevance of the topic from the practical point of view is determined by the need to create a software system that can use sign language interface in real time. The main objective of this study is to create a simple game that can be controlled by using different hand movements.

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Periodical:

Applied Mechanics and Materials (Volume 618)

Pages:

410-414

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.618.410

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Online since:

August 2014

Authors:

Aleksey Levanov*, Alexander Alfimcev

Keywords:

Game Application, Gesture Recognition, Human-Machine Interface, Machine Learning, Sign Language

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* - Corresponding Author

References

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