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|Title: ||Camera-based Real-time Emotion Classification Using Support-Vector Machines|
|Authors: ||Swinkels, Wout|
|Issue Date: ||2017|
|Citation: ||ICT.OPEN 2017: The Conference for ICT-Research in the Netherlands, Amersfoort, The Netherlands, 21-22/03/2017|
|Abstract: ||Extracting facial emotions is a great challenge in the area of computer vision, unlike humans, machines have a lot of difficulties with interpreting emotions. Due to the work of Viola-Jones  emotion detection is already more feasible. Using a fast algorithm to extract the region of interest (ROI) for emotion detection brings the development of a real-time emotion classification algorithm one step closer.
In this research an emotion detection algorithm aimed at real-time implementation on an embedded platform has been developed. Several algorithms have been implemented and tested to evaluate their results with respect to their real-time performance potential and classification efficiency. The developed algorithm relies on three fundamental findings, which relate to the way humans interpret emotions.|
|Type: ||Conference Material|
|Appears in Collections: ||Research publications|
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|N/A||235.21 kB||Adobe PDF|
|Proof of Peer Review||67.1 kB||Adobe PDF|
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