Abstract
This paper proposes a human activity monitoring system using accelerated sensors based on wireless sensor networks. By implementing SVM on embedded sensor node and using pitch roll, the direction of human activities can also be classified. By using two 3-axis accelerated sensors and ZigBee protocol, the human activity system can be monitored on-line real-time and recorded the human activities in the home or office gateway.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
