@inproceedings{7745f9804e7b4dbb82d705412fadce2a,
title = "Multi-channel physiological monitoring and integration of intelligence prosthetic arm accessory system",
abstract = "Gesture recognition human-computer interaction control system is based on the gesture feature acceleration characteristics It uses finger bending changes to control the development of human-machine interactive system technology for smartphones. It adjusts the automatic alignment of the prosthetic arm system through the tablet computer, and the micro-motor assigned to the joint operates. Enough to control the prosthetic intelligence signal (automatic correction adjustment) is shown in results.",
keywords = "EMG, Physiological monitoring, EMG, Physiological monitoring",
author = "Liou, {Jian Chiun} and Su, {Ting Yu}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE International Conference on Applied System Innovation, ICASI 2018 ; Conference date: 13-04-2018 Through 17-04-2018",
year = "2018",
month = jun,
day = "22",
doi = "10.1109/ICASI.2018.8394266",
language = "English",
series = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "397--398",
editor = "Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.} and Teen-Hang Meen",
booktitle = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
address = "United States",
}