Research on Intelligent Recognition of Intelligent Gloves based on Acceleration Sensor
Peisong Xia, Zhaohong Du
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.87How to use a DOI?
- Gesture recognition; Human-computer interaction; Acceleration sensor; Smart glove.
- 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.
- 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 -