@inproceedings{992830dbd89c4e4eb9efaf4e2718544c,
title = "Application of hand recognition system based on electromyography and gyroscope using deep learning",
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.",
keywords = "Gesture recognition, Human-computer interaction, Myo armband, Virtual theater",
author = "Yang, {Tsai Ni} and Chiu, {Chuan Feng} and Shih, {Timothy K.} and Lin, {Chi Yen} and Lin Hui and Fitri Utaminingrum",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th International Conference on Ubi-Media Computing, Ubi-Media 2019 ; Conference date: 06-08-2019 Through 09-08-2019",
year = "2019",
month = aug,
doi = "10.1109/Ubi-Media.2019.00027",
language = "???core.languages.en_GB???",
series = "Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "96--101",
booktitle = "Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019",
}