Automatic Detection of Social Isolation based on Human behavior Analysis

Authors

  • Alicia Martinez Rebollar Centro Nacional de Investigación y Desarrollo Tecnológico TecNM/CENIDET
  • Miguel Gonzalez Mendoza Tecnológico de Monterrey
  • Hugo Estrada Esquivel Centro Nacional de Investigación y Desarrollo Tecnológico TecNM/CENIDET
  • Wilfrido Campos Francisco TECNM/I.T. Chilpancingo
  • Virginia Campos Ortiz Centro Nacional de Investigación y Desarrollo Tecnológico TecNM/CENIDET

DOI:

https://doi.org/10.13053/cys-24-4-3444

Keywords:

Older adult, social isolation, predictive model, mobile application

Abstract

Social isolation is a problem that is accentuated in the stage of old age. This condition puts the physical and mental integrity of older adults at risk. This paper presents a predictive model for the automatic detection of social isolation in older adults. The predictive model was implemented in a mobile application that monitors communication and mobility activities performed by an older adult. The mobile application was also generated for a caregiver who is responsible for receiving notifications about the specific level of social isolation of the older adult. The predictive model was evaluated using an experimental group of older adults.

Author Biography

Alicia Martinez Rebollar, Centro Nacional de Investigación y Desarrollo Tecnológico TecNM/CENIDET

Profesor/investigadorDepartamento de Ciencias Computacionales

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Published

2020-12-02

Issue

Vol. 24 No. 4 (2020): 24(4)2020

Section

Articles

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