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5th International ICST Conference on Body Area Networks

Research Article

PAMS: A Wearable Physical Activity Monitoring System for Continuous Motion Capture in Free-living Environments

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/2221924.2221968,
        author={Sheng Hu and Xi Chen and Jindong Tan},
        title={PAMS: A Wearable Physical Activity Monitoring System for Continuous Motion Capture in Free-living Environments},
        proceedings={5th International ICST Conference on Body Area Networks},
        publisher={ACM},
        proceedings_a={BODYNETS},
        year={2012},
        month={6},
        keywords={PAMS Body Sensor Networks Inertial Measurement Unit Motion Tracking},
        doi={10.1145/2221924.2221968}
    }
    
  • Sheng Hu
    Xi Chen
    Jindong Tan
    Year: 2012
    PAMS: A Wearable Physical Activity Monitoring System for Continuous Motion Capture in Free-living Environments
    BODYNETS
    ACM
    DOI: 10.1145/2221924.2221968
Sheng Hu1,*, Xi Chen1, Jindong Tan1
  • 1: Michigan Technological University
*Contact email: shengh@mtu.edu

Abstract

Long term continuously monitoring of human physical activities in free living environments provides valuable information for a wide range of applications. This paper presents the design and implementation of a Physical Activity Monitoring System (PAMS) that can capture human motions which potentially provide many new types of human health assessment and intervention mechanisms for obesity management, rehabilitation, assisted living and human robot interaction. A low power design is applied for PAMS in the hardware/middleware design and the signal processing/filtering algorithms to reduce the number of packets transmitted to the gateway. A full 6-DoF Inertial Measurement Unit is integrated in PAMS to achieve highly reliable inertial data. With highly reliable inertial data, PAMS is designed for a spectrum of applications in healthcare monitoring, electronic entertainment and biokinetics researches. Case studies of real-time human motion tracking via PAMS are demonstrated and performances are evaluated.

Keywords
PAMS Body Sensor Networks Inertial Measurement Unit Motion Tracking
Published
2012-06-01
Publisher
ACM
http://dx.doi.org/10.1145/2221924.2221968
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