Implementation of a Behavioral Recognition Sensor for Understanding Interactive Communication Situation of the Elderly

Yuki Ito, Masayoshi Ueno, Hiromu Takahashi, Shinji Chiba, Toru Abe, Takuo Suganuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Studies in the field of epidemiology have shown that interactive communication with others is associated with a healthy life expectancy in the elderly population. However, for the most part, questionnaire surveys have been used as a method for analyzing communication situations, which lacks completeness and accuracy. In this study, we develop a behavioral recognition sensor to understand the state of interactive communication of the elderly quantitatively. This paper describes the implementation of a sensor that is capable of collecting the speech status.

Original languageEnglish
Title of host publication2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages806-807
Number of pages2
ISBN (Electronic)9781728198026
DOIs
Publication statusPublished - 2020 Oct 13
Event9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
Duration: 2020 Oct 132020 Oct 16

Publication series

Name2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
CountryJapan
CityKobe
Period20/10/1320/10/16

Keywords

  • Elderlies
  • Interactive communication
  • LPWA

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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