Research on Intelligent Recognition of Intelligent Gloves based on Acceleration Sensor

DOI

10.2991/icmeit-19.2019.87How to use a DOI?

Keywords

Gesture recognition; Human-computer interaction; Acceleration sensor; Smart glove.

Abstract

This paper adopts the wearable smart glove sensor as the data acquisition device. Based on the acceleration-based gesture recognition method, the attitude angle data information is added to improve the recognition accuracy of the smart glove. The collected data is segmented using a threshold model, and then the ant colony algorithm is used for feature extraction. Finally, the hidden Markov model is used to model, train and identify gestures. The results show that the proposed algorithm has a better recognition effect on gestures, especially complex gestures.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peisong Xia
AU  - Zhaohong Du
PY  - 2019/04
DA  - 2019/04
TI  - Research on Intelligent Recognition of Intelligent Gloves based on Acceleration Sensor
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 550
EP  - 555
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.87
DO  - 10.2991/icmeit-19.2019.87
ID  - Xia2019/04
ER  -