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Leveraging Wireless Sensors and Smart Phones to Study Gait Variability

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Informatics Engineering and Information Science (ICIEIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 253))

Abstract

Recent research shows that cognitive load has an effect on gait, especially noticeable in people with neurodegenerative disorders. Most researchers in this field employ sophisticated and expensive systems to measure the variability of gait parameters under different cognitive loads. In this paper we propose the use of smart phones and off-the-shelf wireless accelerometers to implement a light-weight and low-cost system to study the influence of cognitive load on gait. Making use of this new approach, we study the effect on gait variability derived from imposing a speed while walking in a treadmill. We also compare “phone-texting” with other common “working memory” and “motor” tasks used by researchers to study the influence of cognitive load on gait. Our approach avoids the space constraints imposed by current systems during the tests, and delivers an accuracy comparable to that of the most sophisticated systems available in the market.

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  1. EECS Dept., University of California, Berkeley, USA

    E. Martin & R. Bajcsy

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  1. E. Martin
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  1. Advanced Informatics School (UTM AIS), UTM International Campus, 54100, Kuala Lumpur, Malaysia

    Azizah Abd Manaf , Shamsul Sahibuddin , Rabiah Ahmad  & Salwani Mohd Daud , ,  & 

  2. Information Systems Department, King Saud University, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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Martin, E., Bajcsy, R. (2011). Leveraging Wireless Sensors and Smart Phones to Study Gait Variability. In: Abd Manaf, A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25462-8_9

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