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.

Scope

    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

Format

    IEEE conference format (button below).
    4-6 pages: The authors can choose to give copyright to IEEE then the paper will be sent to IEEE Xplore as ICIEV-IVPR 2019 proceedings.
    2-6 pages: The authors can choose not for IEEE and hence, copyright is not transfered.
    Submit from Microsoft CMT for ICIEV2019 (button below) and select the ABC.