Development of a human movement monitoring system based on wearable devices

Zheng, Xiaochen y Ordieres Meré, Joaquín Bienvenido (2014). Development of a human movement monitoring system based on wearable devices. En: "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.

Descripción

Título: Development of a human movement monitoring system based on wearable devices
Autor/es:
  • Zheng, Xiaochen
  • Ordieres Meré, Joaquín Bienvenido
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2nd International Conference on Electronics, Signal Processing and Communication Systems (ESPCO 2014)
Fechas del Evento: 28/11/2014 - 30/11/2014
Lugar del Evento: Atenas
Título del Libro: Recent Advances in Electrical Engineering and Educational Technologies
Fecha: 2014
ISBN: 978-1-61804-254-5
Materias:
Palabras Clave Informales: accelerometer, movement monitoring, smartwatch, smartphone, wearable device
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 35108
Identificador DC: http://oa.upm.es/35108/
Identificador OAI: oai:oa.upm.es:35108
URL Oficial: http://www.inase.org/conferences/2014/athens/espco.htm#tpc
Depositado por: Memoria Investigacion
Depositado el: 08 Mar 2016 11:35
Ultima Modificación: 19 Abr 2016 09:30
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