A home appliance control system with hand gesture based on pose estimation

Yuuki Muranaka, Mohammed Al-Sada, Tatsuo Nakajima

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

Abstract

Home appliances play a large role in our daily lives. However, with the increase of appliances, each require a dedicated remote controller, which can be cumbersome to users. Existing solutions have the shortcoming of requiring users to acquire devices that can be programmed to act as unified-remote control units. To overcome this challenge, we propose a system that utilizes hand-gestures to control various appliances. Our system provides various advantages, as users do not need to acquire dedicated devices, and controls can be carried out using intuitive hand gestures to perform various actions on the target appliance. We explain our approach and verify it by developing and integrating a system for controlling TV using various hand gestures. We conducted a performance and usability evaluations, which respectively gauged our systems accuracy under different operational and usage conditions, and investigated user impressions of our prototype. Results indicated that our system had generally high gesture-recognition accuracy, and users provided positive feedback about our system's usability within common household usage contexts. Based on the results, we discuss various future research directions to extend our work.

Original languageEnglish
Title of host publication2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages752-755
Number of pages4
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

  • Hand Gesture
  • Pose Estimation
  • Smart Home

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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