Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Research on Intelligent Recognition of Intelligent Gloves based on Acceleration Sensor

Authors
Peisong Xia, Zhaohong Du
Corresponding Author
Peisong Xia
Available Online April 2019.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.87How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.87
DO  - https://doi.org/10.2991/icmeit-19.2019.87
ID  - Xia2019/04
ER  -