TY - GEN
T1 - Body area sensor network for evaluating fitness exercise
AU - Varatharajah, Yogatheesan
AU - Karunathilaka, Nuwan
AU - Rismi, Mohamed
AU - Kotinkaduwa, Sujan
AU - Dias, Dileeka
PY - 2013
Y1 - 2013
N2 - The paper presents a wireless body area sensor network (BASN) for evaluating the effectiveness of fitness exercising. The goal of our work is to provide a mobile and an accurate way of quantifying the energy expenditure during a fitness exercise session. While energy expenditure estimates are available in modern exercise machines, no accurate method exists for outdoor exercising. The prototype system implemented includes an IEEE 802.15.4(Zigbee) based wireless body area sensor network which measures physiological and kinetic features related to the activity being monitored, and a mobile application for visualization of the estimated energy expenditure. The paper outlines the sensor hardware used, the body area network which collects the measurements from the sensor nodes, the algorithm for energy computation and experimental results. The system, once trained can be used with any form of outdoor exercise. The key contribution and novelty of the paper is the development of a mechanism to establish the hitherto unknown relationship between physiological and kinetic features and body metabolism through the BASN. Further, this relationship may be personalized to individual level with proper training.
AB - The paper presents a wireless body area sensor network (BASN) for evaluating the effectiveness of fitness exercising. The goal of our work is to provide a mobile and an accurate way of quantifying the energy expenditure during a fitness exercise session. While energy expenditure estimates are available in modern exercise machines, no accurate method exists for outdoor exercising. The prototype system implemented includes an IEEE 802.15.4(Zigbee) based wireless body area sensor network which measures physiological and kinetic features related to the activity being monitored, and a mobile application for visualization of the estimated energy expenditure. The paper outlines the sensor hardware used, the body area network which collects the measurements from the sensor nodes, the algorithm for energy computation and experimental results. The system, once trained can be used with any form of outdoor exercise. The key contribution and novelty of the paper is the development of a mechanism to establish the hitherto unknown relationship between physiological and kinetic features and body metabolism through the BASN. Further, this relationship may be personalized to individual level with proper training.
KW - Body Area Network (BAN)
KW - body metabolism
KW - Fitness exercise
KW - kinetic features
KW - Mobile ad hoc networks
KW - Physiological features
KW - Wearable sensors
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=84881470720&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881470720&partnerID=8YFLogxK
U2 - 10.1109/WMNC.2013.6548957
DO - 10.1109/WMNC.2013.6548957
M3 - Conference contribution
AN - SCOPUS:84881470720
SN - 9781467356169
T3 - Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
BT - Proceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
T2 - 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
Y2 - 23 April 2013 through 25 April 2013
ER -