• 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