Monitoring Physical Activities Using Smartphones

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• 作者：Pablo Romo (19)
  Sergio F. Ochoa (19)
  Nelson Baloian (19)
  Ignacio Casas (20)
  José Bravo (21)
  
• 关键词：Monitoring of physical activities ; healthcare ; model lifestyle ; urban population
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8867
• 期：1
• 页码：388-395
• 全文大小：496 KB
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  6. Ferreira, D., Dey, A.K., Kostakos, V.: Understanding Human-Smartphone Concerns: A Study of Battery Life. In: Lyons, K., Hightower, J., Huang, E.M. (eds.) Pervasive 2011. LNCS, vol.?6696, pp. 19-3. Springer, Heidelberg (2011) CrossRef
  7. Muller, M.: Dynamic Time Warping. In: Information Retrieval for Music and Motion, ch. 4, pp. 69-4. Springer (2007)
  
• 作者单位：Pablo Romo (19)
  Sergio F. Ochoa (19)
  Nelson Baloian (19)
  Ignacio Casas (20)
  José Bravo (21)
  
  19. Computer Science Department, University of Chile, Av. Blanco Encalada 2120, 3rd Floor, Santiago, Chile
  20. Computer Science Department, Pontifical Catholic University of Chile, Av. V. Mackenna, 4860, Santiago, Chile
  21. Castilla-La Mancha University, Ciudad Real, Spain
  
• ISSN：1611-3349

文摘

It is well-known that physical activities contribute to keep the people healthy. However, the modern life style impacts negatively on the amount of physical activity that we do during the day. Many times the people do not perform enough exercise because they are not aware of the amount of physical activity that they have done. In order to make the persons aware of this aspect of his life, this article presents a mobile application that monitors the amount of exercise they do every day and it informs properly to the user. The system, named AMOPA, allows caregivers or doctors monitoring particular patients, to access this information remotely in order to support the person being monitored. The system was evaluated using laboratory tests, and the results indicate a good performance and accuracy in the detection of the people physical activities. Moreover, the monitored process has a low impact on the energy consumption of the devices used to capture and process the information.