Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Images with high emotional content have been shown to alter signals such as the electrocardiogram~(ECG) and the respiration among many other physiological recordings. However, recognizing emotions from multimedia stimuli, such as music video clips, which are growing in numbers in the digital world and are the medium of many recommendation systems, has not been adequately investigated. This study aims to investigate the recognition of emotions elicited by watching music video clips, from features extracted from the ECG, the respiration and several synchronization aspects of the two. On a public dataset, we achieved higher classification rates than the state-of-the-art using either the ECG or the respiration signals alone. A feature related to the synchronization of the two signals achieved even better performance.


Published in:
2016 Ieee 18Th International Workshop On Multimedia Signal Processing (Mmsp)
Presented at:
2016 IEEE Workshop on Multimedia Signal Processing (MMSP 2016), Montréal, Canada, September 21-23, 2016
Year:
2016
Publisher:
New York, IEEE
ISSN:
2163-3517
ISBN:
978-1-5090-3724-7
Keywords:
Laboratories:




 Record created 2016-09-22, last modified 2018-09-13


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