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
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;
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
DOI :
10.1109/ICUMT.2009.5345508