Development of a human movement monitoring system based on wearable devices

Zheng, Xiaochen and Ordieres-Meré, Joaquín (2014). Development of a human movement monitoring system based on wearable devices. In: "2nd International Conference on Electronics, Signal Processing and Communication Systems (ESPCO 2014)", 28/11/2014 - 30/11/2014, Atenas. ISBN 978-1-61804-254-5. pp. 39-44.

Description

Title: Development of a human movement monitoring system based on wearable devices
Author/s:
  • Zheng, Xiaochen
  • Ordieres-Meré, Joaquín
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd International Conference on Electronics, Signal Processing and Communication Systems (ESPCO 2014)
Event Dates: 28/11/2014 - 30/11/2014
Event Location: Atenas
Title of Book: Recent Advances in Electrical Engineering and Educational Technologies
Date: 2014
ISBN: 978-1-61804-254-5
Subjects:
Freetext Keywords: accelerometer, movement monitoring, smartwatch, smartphone, wearable device
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

It is essential to remotely and continuously monitor the movements of individuals in many social areas, for example, taking care of aging people, physical therapy, athletic training etc. Many methods have been used, such as video record, motion analysis or sensor-based methods. Due to the limitations in remote communication, power consumption, portability and so on, most of them are not able to fulfill the requirements. The development of wearable technology and cloud computing provides a new efficient way to achieve this goal. This paper presents an intelligent human movement monitoring system based on a smartwatch, an Android smartphone and a distributed data management engine. This system includes advantages of wide adaptability, remote and long-term monitoring capacity, high portability and flexibility. The structure of the system and its principle are introduced. Four experiments are designed to prove the feasibility of the system. The results of the experiments demonstrate the system is able to detect different actions of individuals with adequate accuracy.

More information

Item ID: 35108
DC Identifier: http://oa.upm.es/35108/
OAI Identifier: oai:oa.upm.es:35108
Official URL: http://www.inase.org/conferences/2014/athens/espco.htm#tpc
Deposited by: Memoria Investigacion
Deposited on: 08 Mar 2016 11:35
Last Modified: 23 Apr 2018 07:45
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