To provide further testing of the system, two games wereĭeveloped, where one or two users have to interact to understand and express Rate of 61.3% which is very close to the recognition rate of 61.9% obtained by Leave-one-subject-out cross validation strategy, reached an overall recognition System has been assessed on a "six emotions" recognition problem, and using a Professionalgrade optical motion capture system, and Microsoft Kinect. Method has been assessed on data acquired through two different systems: a Set of postural, kinematic, and geometrical features are extracted from In this paper we proposeĪn approach to realtime automatic emotion recognition from body movements. Important affective information, to date research in emotion recognitionįocused mainly on facial expression or voice analysis. It does not store any personal data.Although psychological research indicates that bodily expressions convey The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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