Affective laughter expressions from body movements
The main goal of this study is to classify affective laughter expressions from body movements. Using a non-intrusive Kinect sensor, body movement data from laughing participants were collected, annotated and segmented. A set of features that include the head, torso, shoulder movements, as well as th...
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| Main Authors: | , , , , |
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| Format: | text |
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Animo Repository
2017
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1469 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2468/type/native/viewcontent/978_3_319_60675_0_12.html |
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| Institution: | De La Salle University |
| Summary: | The main goal of this study is to classify affective laughter expressions from body movements. Using a non-intrusive Kinect sensor, body movement data from laughing participants were collected, annotated and segmented. A set of features that include the head, torso, shoulder movements, as well as the positions of the right and left hands, were used by a decision tree classifier to determine the type of emotions expressed in the laughter. The decision tree classifier performed with an accuracy of 71.02% using a minimum set of body movement features. © Springer International Publishing AG 2017. |
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