Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Group interaction analysis in dynamic context.

Peng Dai, Huijun Di, Ligeng Dong

    IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
    |February 14, 2008
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Germinal Center-Like Tertiary Lymphoid Structures Mark Immune Responsiveness and Enable Checkpoint Immunotherapy in Bladder Cancer.

    Oncology research·2026
    Same author

    Ultra-sensitive urine DNA methylation test enables early and accurate detection of bladder cancer.

    Epigenomics·2026
    Same author

    Habitat suitability for the soybean aphid, <i>Aphis glycines</i>, and its natural enemies: implications for biological control and soybean protection.

    Frontiers in plant science·2026
    Same author

    Artificial intelligence-assisted early screening of lung cancer and accurate diagnosis of pulmonary nodules: research progress and clinical prospects from radiomics to multi-omics integration: a narrative review.

    Journal of thoracic disease·2026
    Same author

    PYCR1 promotes glutamine metabolism and the progression of lung adenocarcinoma by regulating the expression of OPLAH.

    Clinical and experimental medicine·2026
    Same author

    A NEK2/ZWINT-NDC80 regulatory axis drives bladder cancer progression and chemoresistance.

    Discover oncology·2026
    Same journal

    Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
    Same journal

    Meta-Analysis of the First Facial Expression Recognition Challenge.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Adjustable model-based fusion method for multispectral and panchromatic images.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    See all related articles

    This study introduces an event-based dynamic context model for understanding human interactions in group settings. The proposed model enhances context awareness using dynamic Bayesian networks for effective online analysis.

    Area of Science:

    • Human-Computer Interaction
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Context is crucial for semantic understanding of human behavior from sensor data.
    • Analyzing group interactions requires robust context awareness.
    • Previous methods struggle with dynamic context in group scenarios.

    Discussion:

    • An event-based dynamic context model is proposed for group interaction analysis.
    • An event-driven multilevel dynamic Bayesian network detects multilevel events.
    • This approach enables online analysis, improving upon prior limitations.

    Key Insights:

    • The dynamic context model effectively captures the nuances of human interactions.
    • Dynamic Bayesian networks provide a powerful mechanism for context awareness.

    Related Experiment Videos

  • Online analysis capabilities offer real-time insights into group dynamics.

    • Outlook:

    • Further research can explore more complex interaction scenarios.
    • Integration with other sensor modalities could enhance understanding.
    • Applications in smart environments and collaborative systems are promising.