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Human Activity Recognition has been researched in thousands of papers so far, with mobile / environmental sensors in ubiquitous / pervasive domains, and with cameras in vision domains. As well, Human Behavior Analysis is also explored for long-term health care, rehabilitation, emotion recognition, human interaction, and so on. However, many research challenges remain for realistic settings, such as complex and ambiguous activities / behavior, optimal sensor combinations, (deep) machine learning, data collection, platform systems, and killer applications.
In this conference, we comprehend such research domains as ABC: Activity and Behavior Computing, and provide an open and a confluent place for discussing various aspects and the future of the ABC.
We welcome full technical papers, as well as concept papers related to ABC research. Technical papers describe the accuracy and performance of ABC Systems, real deployment cases or application of new paradigms such as deep learning to ABC. Concept papers describe the challenges and future directions of ABC based on problems that arise when systems are deployed in real settings.
The submitted papers are peer reviewed by experienced researchers, and accepted based on the research quality. To accept various research stages, an accepted paper can be either published in IEEE proceedings + USB, Open web + USB, or USB only upon authors' preference.
The conference accepts papers on the following topics (or other related topics):
Mobile sensor-based ABC
Environmental sensor-based ABC
Vision-based ABC
Multimodal ABC
Physical / semantic analysis of ABC
Gait analysis
Sleep analysis
Emotion recognition / analysis
ABC with deep learning
ABC data mining
Data collection
ABC systems
Interactive ABC
Healthcare applications
Sports applications
Business applications
Tools for industry
ABC in the wild
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