An improved convolutional neural network based method for emotional gesture recognition

Fang Zheng; Zhiwei Li; Wei Wang

doi:10.1117/12.3012300

21 December 2023 An improved convolutional neural network based method for emotional gesture recognition

Fang Zheng, Zhiwei Li, Wei Wang

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701N (2023) https://doi.org/10.1117/12.3012300
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Nowadays, there is a general problem of communication difficulties in the deaf community for gesture expression of emotion, which leads to depression. This paper designed and implemented an emotional gesture recognition method for the recognition of gestures’ emotion. The recognition results of negative and positive emotions can improve the communication of the disadvantaged people. The method designed the recognition network based on convolutional neural network, spatial pooling, residual structure and then optimized the network with attention mechanism. The results of the experiments on real scene image dataset show that the network model proposed in this paper has a high recognition accuracy and good robustness.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fang Zheng, Zhiwei Li, and Wei Wang "An improved convolutional neural network based method for emotional gesture recognition", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701N (21 December 2023); https://doi.org/10.1117/12.3012300

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