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Memorias de investigación
Artículos en revistas:
HMM Adaptation for Improving a Human Activity Recognition System
Año:2016
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
When developing a fully automatic system for evaluating motor activities performed by a person, it is necessary to segment and recognize the different activities in order to focus the analysis. This process must be carried out by a Human Activity Recognition (HAR) system. This paper proposes a user adaptation technique for improving a HAR system based on Hidden Markov Models (HMMs). This system segments and recognizes six different physical activities (walking, walking upstairs, walking downstairs, sitting, standing and lying down) using inertial signals from a smartphone. The system is composed of a feature extractor for obtaining the most relevantcharacteristicsfromtheinertialsignals,amodulefortrainingthesixHMMs(oneperactivity), and the last module for segmenting new activity sequences using these models. The user adaptation technique consists of a Maximum A Posteriori (MAP) approach that adapts the activity HMMs to the user, using some activity examples from this speci?c user. The main results on a public dataset have reported a signi?cant relative error rate reduction of more than 30%. In conclusion, adapting a HAR system to the user who is performing the physical activities provides signi?cant improvement in the system?s performance.
Internacional
Si
JCR del ISI
No
Título de la revista
Algorithms
ISSN
1999-4893
Factor de impacto JCR
Información de impacto
Volumen
9
DOI
10.3390/a9030060
Número de revista
3
Desde la página
60
Hasta la página
73
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ruben San Segundo Hernandez (UPM)
  • Autor: Juan Manuel Montero Martinez (UPM)
  • Autor: José Moreno Pimentel (INDRA Sistemas, Madrid)
  • 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
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