DocumentCode
2560124
Title
Two methods for body parameter analysis using Body Sensor Networks
Author
Fenu, Gianni ; Steri, Gary
Author_Institution
Comput. Sci. Dept., Univ. of Cagliari, Cagliari, Italy
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
One of the many applications of wireless sensors, wearable computing devices, is to collect data for analyzing body parameters useful for assessing athletic performance of an individual or group of individuals. Focusing on analysis methods using parameter extraction, in this paper we will see how the cooperation between a body sensor network (BSN) and a larger system (e.g. an e-health system or an e-learning system) can be exploited for the assessment and/or distance teaching of physical education skills for a movement science course or in a training college.
Keywords
biomechanics; biomedical education; teaching; telemedicine; wearable computers; wireless sensor networks; athletic performance; body parameter analysis; body sensor networks; e-health system; e-learning system; movement science course; physical education skills; teaching; training college; wearable computing devices; wireless sensors; Body sensor networks; Computer aided instruction; Data analysis; Educational institutions; Electronic learning; Parameter extraction; Performance analysis; Wearable computers; Wearable sensors; Wireless sensor networks; Personal and body networks; body-area networks; wearable computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4244-3942-3
Electronic_ISBN
978-1-4244-3941-6
Type
conf
DOI
10.1109/ICUMT.2009.5345508
Filename
5345508
Link To Document