@inproceedings{38322277793943e8bc327ed653d0ffbc,
title = "Real-time virtual instruments based on neural network system",
abstract = "Research in the field of Human-Computer Interaction (HCI) has become more and more frequently in our life. These related applications not only make our lives more convenient and efficiency, but also reduce the overhead costs. Users can more naturally, quickly and intuitively convey commands through different types of HCI applications to computer. Leap Motion1 is used to capture the information of users hand in this paper. Further recognize the hand gesture of user to reduce the burden of operating virtual instrument. We using neural network to analyze the information which captured from Leap Motion, then convey commands to computer. Finally, this paper will prove our system could maintain in real time and accurately state.",
keywords = "Hand Gesture Recognition, Leap Motion, Neural Network, Virtual Instruments",
author = "Chang, {Hon Hang} and Huang, {Chun Hong} and Lin, {Ting Kuo} and Shih, {Timothy K.} and Shulei Wu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on Ubi-Media Computing, UMEDIA 2015 ; Conference date: 24-08-2015 Through 26-08-2015",
year = "2015",
month = oct,
day = "12",
doi = "10.1109/UMEDIA.2015.7297448",
language = "???core.languages.en_GB???",
series = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "163--167",
booktitle = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
}