DocumentCode
628334
Title
MET calculations from on-body accelerometers for exergaming movements
Author
Mortazavi, Bobak ; Alsharufa, Nabil ; Lee, Sunghoon Ivan ; Lan, Mars ; Sarrafzadeh, Majid ; Chronley, Michael ; Roberts, Christian K.
Author_Institution
Wireless Health Institute, Computer Science Department, UCLA, Los Angeles, CA 90095
fYear
2013
fDate
6-9 May 2013
Firstpage
1
Lastpage
6
Abstract
The use of accelerometers to approximate energy expenditure and serve as inputs for exergaming, have both increased in prevalence in response to the worldwide obesity epidemic. Exergames have a need to show energy expenditure values to validate their results, often using accelerometer approximations applied to general daily-living activities. This work presents a method for estimating the metabolic equivalent of task (MET) values achieved when users perform exergaming-specific movements. This shows the caloric expenditure achieved by active video games, based upon raw gravity values of accelerations. Results show that, while a fusion of sensors monitoring the entire body achieves the best results, sensors placed closest to the primary location of movement achieve the most accurate approximations to the METs achieved per activity as well as the overall MET achieved for the soccer exergame under consideration. The METs achieved approach 7, the value considered to be actual casual soccer game play.
Keywords
Acceleration; Accelerometers; Approximation methods; Games; Hip; Obesity; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location
Cambridge, MA, USA
ISSN
2325-1425
Print_ISBN
978-1-4799-0331-3
Type
conf
DOI
10.1109/BSN.2013.6575520
Filename
6575520
Link To Document