Wireless Design of a Multisensor System for Physical Activity Monitoring
Real-time monitoring of human physical activity (PA) is important for assessing the intensity of activity and exposure to environmental pollutions. A wireless wearable multisenor integrated measurement system (WIMS) has been designed for real-time measurement of the energy expenditure and breathing...
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Published in | IEEE transactions on biomedical engineering Vol. 59; no. 11; pp. 3230 - 3237 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.11.2012
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Subjects | |
Online Access | Get full text |
ISSN | 0018-9294 1558-2531 1558-2531 |
DOI | 10.1109/TBME.2012.2208458 |
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Abstract | Real-time monitoring of human physical activity (PA) is important for assessing the intensity of activity and exposure to environmental pollutions. A wireless wearable multisenor integrated measurement system (WIMS) has been designed for real-time measurement of the energy expenditure and breathing volume of human subjects under free-living conditions. To address challenges posted by the limited battery life and data synchronization requirement among multiple sensors in the system, the ZigBee communication platform has been explored for energy-efficient design. Two algorithms have been developed (multiData packaging and slot-data-synchronization) and coded into a microcontroller (MCU)-based sensor circuitry for real-time control of wireless data communication. Experiments have shown that the design enables continued operation of the wearable system for up to 68 h, with the maximum error for data synchronization among the various sensor nodes (SNs) being less than 24 ms. Experiment under free-living conditions have shown that the WIMS is able to correctly recognize the activity intensity level 86% of the time. The results demonstrate the effectiveness of the energy-efficient wireless design for human PA monitoring. |
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AbstractList | Real-time monitoring of human physical activity (PA) is important for assessing the intensity of activity and exposure to environmental pollutions. A wireless wearable multisenor integrated measurement system (WIMS) has been designed for real-time measurement of the energy expenditure and breathing volume of human subjects under free-living conditions. To address challenges posted by the limited battery life and data synchronization requirement among multiple sensors in the system, the ZigBee communication platform has been explored for energy-efficient design. Two algorithms have been developed (multiData packaging and slot-data-synchronization) and coded into a microcontroller (MCU)-based sensor circuitry for real-time control of wireless data communication. Experiments have shown that the design enables continued operation of the wearable system for up to 68 h, with the maximum error for data synchronization among the various sensor nodes (SNs) being less than 24 ms. Experiment under free-living conditions have shown that the WIMS is able to correctly recognize the activity intensity level 86% of the time. The results demonstrate the effectiveness of the energy-efficient wireless design for human PA monitoring.Real-time monitoring of human physical activity (PA) is important for assessing the intensity of activity and exposure to environmental pollutions. A wireless wearable multisenor integrated measurement system (WIMS) has been designed for real-time measurement of the energy expenditure and breathing volume of human subjects under free-living conditions. To address challenges posted by the limited battery life and data synchronization requirement among multiple sensors in the system, the ZigBee communication platform has been explored for energy-efficient design. Two algorithms have been developed (multiData packaging and slot-data-synchronization) and coded into a microcontroller (MCU)-based sensor circuitry for real-time control of wireless data communication. Experiments have shown that the design enables continued operation of the wearable system for up to 68 h, with the maximum error for data synchronization among the various sensor nodes (SNs) being less than 24 ms. Experiment under free-living conditions have shown that the WIMS is able to correctly recognize the activity intensity level 86% of the time. The results demonstrate the effectiveness of the energy-efficient wireless design for human PA monitoring. Real-time monitoring of human physical activity (PA) is important for assessing the intensity of activity and exposure to environmental pollutions. A wireless wearable multisenor integrated measurement system (WIMS) has been designed for real-time measurement of the energy expenditure and breathing volume of human subjects under free-living conditions. To address challenges posted by the limited battery life and data synchronization requirement among multiple sensors in the system, the ZigBee communication platform has been explored for energy-efficient design. Two algorithms have been developed (multiData packaging and slot-data-synchronization) and coded into a microcontroller (MCU)-based sensor circuitry for real-time control of wireless data communication. Experiments have shown that the design enables continued operation of the wearable system for up to 68 h, with the maximum error for data synchronization among the various sensor nodes (SNs) being less than 24 ms. Experiment under free-living conditions have shown that the WIMS is able to correctly recognize the activity intensity level 86% of the time. The results demonstrate the effectiveness of the energy-efficient wireless design for human PA monitoring. |
Author | John, Dinesh Mo, Lingfei Gao, Robert X. Staudenmayer, John W. Liu, Shaopeng Freedson, Patty S. |
Author_xml | – sequence: 1 givenname: Lingfei surname: Mo fullname: Mo, Lingfei email: lfmo@engr.uconn.edu organization: Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, USA – sequence: 2 givenname: Shaopeng surname: Liu fullname: Liu, Shaopeng email: sliu@engr.uconn.edu organization: Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, USA – sequence: 3 givenname: Robert X. surname: Gao fullname: Gao, Robert X. email: rgao@engr.uconn.edu organization: Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, USA – sequence: 4 givenname: Dinesh surname: John fullname: John, Dinesh email: djohn1@kin.umass.edu organization: Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, USA – sequence: 5 givenname: John W. surname: Staudenmayer fullname: Staudenmayer, John W. email: jstauden@math.umass.edu organization: Department of Mathematics and Statistics, University of Massachusetts, Amherst, USA – sequence: 6 givenname: Patty S. surname: Freedson fullname: Freedson, Patty S. email: psk@kin.umass.edu organization: Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, USA |
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SubjectTerms | Activities of Daily Living Adult Algorithms Data synchronization Electronics, Medical - instrumentation energy efficiency Equipment Design Female Humans Male Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Movement - physiology physical activity (PA) monitoring Protocols Sensors Signal Processing, Computer-Assisted Synchronization Telemetry - instrumentation Telemetry - methods Tin Wireless communication Wireless sensor networks Wireless Technology - instrumentation Zigbee |
Title | Wireless Design of a Multisensor System for Physical Activity Monitoring |
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