Enhancing Activity Recognition by Fusing Inertial and Biometric Information

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

Description

Title: Enhancing Activity Recognition by Fusing Inertial and Biometric Information
Author/s:
  • Martín Rodríguez, Henar
  • Bernardos Barbolla, Ana M.
  • Tarrío Alonso, Paula
  • Casar Corredera, Jose Ramon
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th International Conference On Information Fusion
Event Dates: 05/07/2011 - 08/07/2011
Event Location: Chicago, USA
Title of Book: Proceedings of the 14th International Conference On Information Fusion
Date: 2011
ISBN: 978-1-4577-0267-9
Subjects:
Freetext Keywords: activity recognition, inertial sensors, biometric sensors, high level data fusion, personal health applications, context-awareness.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 11638
DC Identifier: http://oa.upm.es/11638/
OAI Identifier: oai:oa.upm.es:11638
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977723
Deposited by: Memoria Investigacion
Deposited on: 29 Nov 2012 12:39
Last Modified: 20 Apr 2016 19:39
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