Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Feature extraction for robust physical activity recognition
Año:2017
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
This paper presents the development of a Human Activity Recognition (HAR) system that uses a network of nine inertial measurement units situated in different body parts. Every unit provides 3D (3?dimension) acceleration, 3D angular velocity, 3D magnetic field orientation, and 4D quaternions. This system identifies 33 different physical activi? ties (walking, running, cycling, lateral elevation of arms, etc.). The system is composed of two main modules: a feature extractor for obtaining the most relevant characteristics from the inertial signals every second, and a machine learning algorithm for classifying between the different activities. This paper focuses on the feature extractor module, evaluating several types of features and proposing different normalization approaches. This paper also analyses the performance of every sensor included in the inertial meas? urement units. The main experiments have been done using a public available dataset named REALDISP Activity Recognition dataset. This dataset includes recordings from 17 subjects performing 33 different activities in three different scenarios. Final results demonstrate that the proposed HAR system significantly improves the classification accuracy compared to previous works on this dataset. For the best configuration, the system accuracy is 99.1%. This system has been also evaluated with the OPPORTUNITY dataset obtaining competitive results.
Internacional
Si
JCR del ISI
No
Título de la revista
Human-centric Computing and Information Sciences
ISSN
2192-1962
Factor de impacto JCR
Información de impacto
Volumen
7
DOI
10.1186/s13673-017-0097-2
Número de revista
Desde la página
1
Hasta la página
16
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jiadong Zhu (School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China)
  • Autor: Ruben San Segundo Hernandez (UPM)
  • Autor: Jose Manuel Pardo Muñoz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
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