发明名称 |
FACIAL EXPRESSION TRAINING USING FEEDBACK FROM AUTOMATIC FACIAL EXPRESSION RECOGNITION |
摘要 |
A machine learning classifier is trained to compute a quality measure of a facial expression with respect to a predetermined emotion, affective state, or situation. The expression may be of a person or an animated character. The quality measure may be provided to a person. The quality measure may also used to tune the appearance parameters of the animated character, including texture parameters. People may be trained to improve their expressiveness based on the feedback of the quality measure provided by the machine learning classifier, for example, to improve the quality of customer interactions, and to mitigate the symptoms of various affective and neurological disorders. The classifier may be built into a variety of mobile devices, including wearable devices such as Google Glass and smart watches. |
申请公布号 |
WO2014127333(A1) |
申请公布日期 |
2014.08.21 |
申请号 |
WO2014US16745 |
申请日期 |
2014.02.17 |
申请人 |
EMOTIENT |
发明人 |
MOVELLAN, JAVIER;BARTLETT, MARIAN, STEWARD;FASEL, IAN;LITTLEWORT, GWEN, FORD;SUSSKIND, JOSHUA;DENMAN, KEN;WHITEHILL, JACOB |
分类号 |
G06K9/00 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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