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DSpace at Transilvania University >
Mechanical Engineering >
COMEC 2015 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1923
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| Title: | DETECTING HUMAN EMOTIONS WITH AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM |
| Authors: | GÎLCĂ, Gheorghe
BÎZDOACĂ, Nicu-George |
| Keywords: | emotion
face detection
face tracking
fuzzy rules
training |
| Issue Date: | Oct-2015 |
| Publisher: | Transilvania University Press of Brasov |
| Citation: | Google Scholar |
| Series/Report no.: | ;285-290 |
| Abstract: | This article deals with an emotion recognition system based on fuzzy sets. Human faces are detected in images with the Viola - Jones algorithm and for their tracking in video sequences we used the Camshift algorithm. The detected human faces are transferred to the sugeno type decisional fuzzy system, which is based on the variable fuzzyfication measurements of the face: eyebrow, eyelid and mouth. The system can easily determine the emotional state of a person. |
| URI: | http://hdl.handle.net/123456789/1923 |
| ISSN: | 2457-8541
L 2457-8541 |
| Appears in Collections: | COMEC 2015
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