Application of hand recognition system based on electromyography and gyroscope using deep learning

Tsai Ni Yang, Chuan Feng Chiu, Timothy K. Shih, Chi Yen Lin, Lin Hui, Fitri Utaminingrum

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

Abstract

With the advent of new technological, the interaction between people and computers has become more and more inseparable. The human-computer interaction (HCI) technology improves the operations in people's lives, and the gesture recognition is the basic operation and is one of the hot research topics. In this paper, we developed a virtual theater system that using gesture to control the changes between different scene using the Myo armband. The proposed system used a deep learning method to classify dynamic gestures, and then send instructions to the virtual theater. By using this system, users can easily control the scenes and objects in the theater developed by Unity and make the virtual stage more enriched during the performance.

Original languageEnglish
Title of host publicationProceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-101
Number of pages6
ISBN (Electronic)9781728128207
DOIs
StatePublished - Aug 2019
Event12th International Conference on Ubi-Media Computing, Ubi-Media 2019 - Bali, Indonesia
Duration: 6 Aug 20199 Aug 2019

Publication series

NameProceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019

Conference

Conference12th International Conference on Ubi-Media Computing, Ubi-Media 2019
Country/TerritoryIndonesia
CityBali
Period6/08/199/08/19

Keywords

  • Gesture recognition
  • Human-computer interaction
  • Myo armband
  • Virtual theater

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