Improvement of Dynamic Hand Gesture Recognition Based on HMM Algorithm
- Resource Type
- Conference
- Authors
- Zhang, Xu-Hui; Wang, Jun-Jie; Wang, Xu; Ma, Xian-Li
- Source
- 2016 International Conference on Information System and Artificial Intelligence (ISAI) ISAI Information System and Artificial Intelligence (ISAI), 2016 International Conference on. :401-406 Jun, 2016
- Subject
- Computing and Processing
Hidden Markov models
Heuristic algorithms
Training
Gesture recognition
Mathematical model
Feature extraction
Dynamic hand gesture recognition
DTW/HMM
Template adaptation
- Language
In order to enhance efficiency and accuracy of dynamic hand gesture recognition based on HMM method. we propose a new HMM algorithm combined with the DTW for the computation's high complexity of HMM method in the training stage. The new HMM can establish the relationship of fuzzy closeness degree between the DTW algorithm and the HMM algorithm. Meanwhile, it can combine with the template adaptive strategy, so that improving the recognition accuracy of the algorithm, and enhance the accuracy and timeliness in human-robot interaction.