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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Bibliographic Details
Main Author: Yasir Tahir
Other Authors: Justin Dauwels
Format: Theses and Dissertations
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70621
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Institution: Nanyang Technological University
Language: English
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