Enhancing Activity Recognition by Fusing Inertial and Biometric Information

Martín Rodríguez, Henar; Bernardos Barbolla, Ana M.; Tarrío Alonso, Paula y Casar Corredera, Jose Ramon (2011). Enhancing Activity Recognition by Fusing Inertial and Biometric Information. En: "14th International Conference On Information Fusion", 05/07/2011 - 08/07/2011, Chicago, USA. ISBN 978-1-4577-0267-9.

Descripción

Título: Enhancing Activity Recognition by Fusing Inertial and Biometric Information
Autor/es:
  • Martín Rodríguez, Henar
  • Bernardos Barbolla, Ana M.
  • Tarrío Alonso, Paula
  • Casar Corredera, Jose Ramon
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 14th International Conference On Information Fusion
Fechas del Evento: 05/07/2011 - 08/07/2011
Lugar del Evento: Chicago, USA
Título del Libro: Proceedings of the 14th International Conference On Information Fusion
Fecha: 2011
ISBN: 978-1-4577-0267-9
Materias:
Palabras Clave Informales: activity recognition, inertial sensors, biometric sensors, high level data fusion, personal health applications, context-awareness.
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Activity recognition is an active research field nowadays, as it enables the development of highly adaptive applications, e.g. in the field of personal health. In this paper, a light high-level fusion algorithm to detect the activity that an individual is performing is presented. The algorithm relies on data gathered from accelerometers placed on different parts of the body, and on biometric sensors. Inertial sensors allow detecting activity by analyzing signal features such as amplitude or peaks. In addition, there is a relationship between the activity intensity and biometric response, which can be considered together with acceleration data to improve the accuracy of activity detection. The proposed algorithm is designed to work with minimum computational cost, being ready to run in a mobile device as part of a context-aware application. In order to enable different user scenarios, the algorithm offers best-effort activity estimation: its quality of estimation depends on the position and number of the available inertial sensors, and also on the presence of biometric information.

Más información

ID de Registro: 11638
Identificador DC: http://oa.upm.es/11638/
Identificador OAI: oai:oa.upm.es:11638
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977723
Depositado por: Memoria Investigacion
Depositado el: 29 Nov 2012 12:39
Ultima Modificación: 20 Abr 2016 19:39
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