Call for papers
The 1st Workshop on Applied Multimodal Affect Recognition (AMAR 2020)
Held in conjunction with IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020
Description
AMAR gathers researchers working in the areas of affective computing, human-computer interaction, brain-computer interfaces, mental and digital health, behavioral sciences, cybersecurity, and other disciplines which have or can leverage automated emotion recognition through the fusion of multiple modalities. This workshop will discuss various ubiquitous sensing devices (e.g., brain, face, thermal, physiological, environmental, positional, etc.) to decode emotions in ways relevant to specific applications and domains. This workshop aims to expose current use cases for affective computing and emerging applications of affective computing to spark future work.
Topics of interest include but are not limited to:
- Health applications with a focus on multimodal affect
- Multimodal affective computing for cybersecurity applications (e.g., biometrics and IoT security)
- Inter-correlations and fusion of ubiquitous multimodal data as it relates to applied emotion recognition (e.g. face and EEG data)
- Leveraging ubiquitous devices to create reliable multimodal applications for emotion recognition
- Applications of in-the-wild data vs. lab controlled
- Facilitation and collection of multimodal data (e.g. ubiquitous data) for applied emotion recognition
- Engineering applications of multimodal affect (e.g., robotics, social engineering, domain inspired hardware / sensing technologies, etc.)
Keynote Speakers
- Dr. Jeffrey Cohn – University of Pittsburgh
- Dr. Arun Ross – Michigan State University
Important Dates (Extended deadlines)
- Submission deadline: 2/14/2020
- Decisions: 2/28/2020
- Camera-ready papers due: 3/5/2020
Submissions
- Accepted papers will be published in the IEEE FG 2020 proceedings
- Manuscripts must follow FG submission instructions for short papers (4 pages + 1 for references)
- Submit your papers here
Organizers
- Shaun Canavan – University of South Florida
- Tempestt Neal – University of South Florida
- Marvin Andujar – University of South Florida
- Lijun Yin – Binghamton University
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Shaun Canavan
Assistant Professor
Computer Science and Engineering
University of South Florida
4202 E Fowler Ave, ENB 315
Tampa, FL 33620
813-974-3137
http://www.cse.usf.edu/~scanavan