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Title: Can your smartphone detect your emotion?
Authors: Dai, D
Liu, Q
Meng, H
Keywords: Smartphone;Emotion recognition;Human-computer interaction;Machine learning
Issue Date: 2016
Citation: 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016) , pp. 2082 - 2087, Changsha, China, (13-15 August 2016 )
Abstract: The smartphone has become an indispensable part in people’s life. Identifying the user's emotional state according to the usage of smartphone is a new way to improve the human- computer interaction and user experience. In this paper, we present an attempt to recognize emotional states by using finger- stroke pattern. Firstly, International Affective Picture System (IAPS) were used to design the emotion inducing experiment. Then finger-stroke features under different emotional categories were extracted and analyzed. Ultimately, we used machine learning algorithms to identify three basic emotional states including positive, neutral, and negative. The experiment results show that the stroke exists some specific behavioral patterns between different people. For all 24 subjects, the average classification accuracy rate reached 85.1%, and we got the average recognition accuracy at 72.3%, 74.6% and 69.6% for male, female and all subjects.
Appears in Collections:Dept of Electronic and Computer Engineering Embargoed Research Papers

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