OCEAN: Towards Developing an Opportunistic Continuous Emotion Annotation Framework
Author:
Affiliation:
1. BITS Pilani Goa,Department of Computer Science and Information Systems,India
2. IIT Kharagpur,Department of Computer Science and Engineering,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9766442/9767206/09767359.pdf?arnumber=9767359
Reference15 articles.
1. Which emotions last longest and why: The role of event importance and rumination
2. Video Affective Content Analysis: A Survey of State-of-the-Art Methods
3. A Survey on ECG Signal Denoising Techniques
4. A survey of methods for time series change point detection
5. Change-point detection in time-series data by relative density-ratio estimation
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