Title: An analysis of Mandarin emotional tendency recognition based on expression spatiotemporal feature recognition

Authors: Caihua Chen

Addresses: Department of Information, Hunan Radio and TV University, Changsha 410007, China

Abstract: In order to overcome the problem of high recognition error rate in traditional emotional tendency recognition methods, a Mandarin emotional tendency recognition method based on expression spatiotemporal feature recognition is proposed. This method extracts the spatiotemporal features of the expression of the research object, and uses the data fusion technology to fuse the extracted feature vector. This paper constructs the standard database of Mandarin emotional tendency recognition, and takes the database as the standard of emotional tendency recognition. The fusion feature vector is matched with the standard feature in the database to get the result of Mandarin emotional tendency recognition. The experimental results show that compared with the traditional method for Mandarin emotional tendency recognition, the recognition method based on the spatiotemporal feature of expression can reduce the recognition error by about 75%.

Keywords: spatiotemporal features of expression; data fusion; cognition; Mandarin; emotion recognition.

DOI: 10.1504/IJBM.2021.114651

International Journal of Biometrics, 2021 Vol.13 No.2/3, pp.211 - 228

Received: 28 Mar 2020
Accepted: 30 Jun 2020
Published online: 29 Apr 2021 *

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