A face recognition system for automated door opening with parallel health status validation using the kinect v2

A. Ogawa, A. Mita, C. Georgoulas, T. Bock

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Nowadays it is said that extending the healthy life expectancy is important in the aging society target group. Of course it is important for every singleperson household to be regularly checked upon their safety, but especially for elderly people the importance is higher at the point of healthy living, because this particular target group comprises a higher accidents rate. Therefore, the authors here propose the design and implementation of an unobtrusive vision system for single-person households, particularly for elderly people, based on the Microsoft Kinect v2. The entrance area of the home environment is here considered, where the monitoring system is activated upon while the user approaches, in order to first detect and calculate the user's fatigue levels, as well as to secondly identify the user by facial recognition, in order to actuate a door opening mechanism. The proposed system algorithm is divided into two distinct phases. The first phase concerns the acquisition of the user knee position while walking up a staircase in order to calculate fatigue. The second phase comprises the face recognition based door opening method. The proposed system has been successfully tested, and it could undoubtedly comprise an unobtrusive health status validation and automated door opening solution for elderly people in single-person households.

Original languageEnglish
Pages132-140
Number of pages9
DOIs
Publication statusPublished - 2016 Jan 1
Event33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 - Auburn, United States
Duration: 2016 Jul 182016 Jul 21

Other

Other33rd International Symposium on Automation and Robotics in Construction, ISARC 2016
CountryUnited States
CityAuburn
Period16/7/1816/7/21

Keywords

  • Ambient Assisted Living
  • Computer Vision
  • Face Recognition
  • Fatigue Detection
  • Kinect v2

ASJC Scopus subject areas

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Human-Computer Interaction
  • Geotechnical Engineering and Engineering Geology

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  • Cite this

    Ogawa, A., Mita, A., Georgoulas, C., & Bock, T. (2016). A face recognition system for automated door opening with parallel health status validation using the kinect v2. 132-140. Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States. https://doi.org/10.22260/isarc2016/0017