Monitoring of dyadic conversations : a social signal processing approach
This work presents a real-time system that analyzes non-verbal audio and visual cues to quantitatively assess sociometries from on-going two-person conversations. The system non-invasively captures audio and video/depth data from lapel microphones and Microsoft Kinect devices respectively to extr...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/70621 |
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| Institution: | Nanyang Technological University |
| Language: | English |