Negative emotions sensitive humanoid robot with attention-enhanced facial expression recognition network

Ni, Rongrong and Liu, Xiaofeng and Chen, Yizhou and Zhou, Xu and Cai, Huili and Kiong, Loo Chu (2022) Negative emotions sensitive humanoid robot with attention-enhanced facial expression recognition network. Intelligent Automation and Soft Computing, 34 (1). pp. 149-164. ISSN 1079-8587, DOI https://doi.org/10.32604/iasc.2022.026813.

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Abstract

Lonely older adults and persons restricted in movements are apt to cause negative emotions, which is harmful to their mental health. A humanoid robot with audiovisual interactions is presented, which can correspondingly output positive facial expressions to relieve human's negative facial expressions. The negative emotions are identified through an attention-enhanced facial expression recognition (FER) network. The network is firstly trained on MMEW macro-and micro-expression databases to discover expression-related features. Then, macroexpression recognition tasks are performed by fine-tuning the trained models on several benchmarking FER databases, including CK+ and Oulu-CASIA. A transformer network is introduced to process the sequential features engineered by the FER network and output a final stable control order. This order is used to control the robot's facial motor units to generate different expressions, e.g., a smile expression. Evaluations on benchmarking databases verify that the proposed method can precisely recognize facial expressions. The joint modulation with the humanoid robot proves that the robot can respond effectively to the user's negative emotions.

Item Type: Article
Funders: National key R&D program of China [Grant No: 2018AAA0100800], Key Research and Development Program of Jiangsu [Grant No: BK20192004B & BE2018004-04], Guangdong Forestry Science and Technology Innovation Project [Grant No: 2020KJCX005], International Cooperation and Exchanges of Changzhou [Grant No: CZ20200035]
Uncontrolled Keywords: Humanoid robot; Facial expression recognition; Attention mechanism; Transfer learning; Negative emotions
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Aug 2023 08:22
Last Modified: 28 Aug 2023 08:22
URI: http://eprints.um.edu.my/id/eprint/43095

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