Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13140
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dc.contributor.authorDai, D-
dc.contributor.authorLiu, Q-
dc.contributor.authorMeng, H-
dc.coverage.spatialChangsha, China-
dc.date.accessioned2016-09-14T09:58:28Z-
dc.date.available2016-08-15-
dc.date.available2016-09-14T09:58:28Z-
dc.date.issued2016-
dc.identifier.citation12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016) , pp. 2082 - 2087, Changsha, China, (13-15 August 2016 )en_US
dc.identifier.urihttp://icnc-fskd.hnu.edu.cn/-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/13140-
dc.description.abstractThe 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.en_US
dc.description.sponsorshipThis work is supported by ChongQing postgraduate scientific research and innovation projects of China, partly funded by the National Nature Science Foundation of China (61379114) and the Natural Science Foundation of Chongqing (CSTC2014jcyjA40047) and the Doctoral startup project of CQUPT (A2014-20).en_US
dc.format.extent2082 - 2087-
dc.language.isoenen_US
dc.source12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)-
dc.source12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)-
dc.subjectSmartphoneen_US
dc.subjectEmotion recognitionen_US
dc.subjectHuman-computer interactionen_US
dc.subjectMachine learningen_US
dc.titleCan your smartphone detect your emotion?en_US
dc.typeConference Paperen_US
pubs.finish-date2016-08-15-
pubs.finish-date2016-08-15-
pubs.publication-statusPublished-
pubs.start-date2016-08-13-
pubs.start-date2016-08-13-
Appears in Collections:Dept of Electronic and Computer Engineering Embargoed Research Papers

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