Computer Vision on Wheelchairs: Detecting Sleeping Behavior of People with Intellectual Disabilities

Lang Bai, Jun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

There have been few products or research efforts on designing for people with intellectual disabilities. The caretaking companies have no enough caretakers to keep an eye on the clients with intellectual disabilities, who are suffering from circadian rhythm disorder. We report on the design of a system to detect the sleeping behavior of people with intellectual disabilities in the daytime. The system utilizes an inexpensive 2D camera with computer vision techniques to track whether a user is falling asleep. The system wakes up the clients gradually in several steps when a long-time sleeping is detected. Our study explores taking eye aspect ratio, head orientation as inputs, and a support vector machine to managing complex situations in real life.

Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions - 8th International Conference, DAPI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditorsNorbert Streitz, Shin’ichi Konomi
PublisherSpringer Gabler
Pages493-504
Number of pages12
ISBN (Print)9783030503437
DOIs
Publication statusPublished - 2020
Event8th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12203 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Circadian cycle
  • Eye aspect ratio
  • Intellectual disabilities
  • SVM

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