Memorias de investigación
Ponencias en congresos:
Enhancing Activity Recognition by Fusing Inertial and Biometric Information
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
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.
Internacional
Si
Nombre congreso
14th International Conference On Information Fusion
Tipo de participación
960
Lugar del congreso
Chicago (USA)
Revisores
Si
ISBN o ISSN
978-14-5770-267-9
DOI
Fecha inicio congreso
05/07/2011
Fecha fin congreso
08/07/2011
Desde la página
1
Hasta la página
8
Título de las actas
Proceedings of the 14th International Conference On Information Fusion
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones