Abstract
The paper proposes a hierarchical decision system for human behavioral recognition in which the input data are classified using a multi-stage decision model. The hierarchical decision system is designed for personal security applications. The personal security concerns the early detection of critical person's conditions to prevent or to minimize certain risks for the health state or other issues related by the personal or public safety, within a smart environment or smart home.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.