Use Eye Tracker to Design an Intelligent Patient Bed

Ping Win Lui, Feng Min Lai, Kuo Chih Su, Jen Yung Lin, Hwa Wei Chi, Jean Shyan Wang, Yuh Wen Chen*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

In the case of caring disable patients in hospital, transportation and security of a patient under supervision of a nurse is crucially important. We developed an intelligent patient bed here, with the assistance of contactless eye tracker which works to facilitate the communication between the disable patient and the bed for better self-care. In real time, it delivers information about the gaze position, where a designed Graphical User Interface (GUI) is used to catch the intention of user. After that, it is able to trigger a special service that the patient expects. The service embedded in the patient bed include the complicated positioning control and the call for a nurse. In addition, this patient bed is innovatively made of composite materials: carbon fibers to reduce the total weight for saving electricity and reduce the burden of transportation or positioning. Our efforts are valuable when the hospital moves toward the automation and intelligence via the technology from Internet of Things (IOTs).

Original languageEnglish
Pages (from-to)553-558
Number of pages6
JournalEnergy Procedia
Volume143
DOIs
StatePublished - 2017
Externally publishedYes
Event1st Joint Conference on World Engineers Summit - Applied Energy Symposium and Forum: Low Carbon Cities and Urban Energy, WES-CUE 2017 - Singapore, Singapore
Duration: 19 07 201721 07 2017

Bibliographical note

Publisher Copyright:
© 2017 The Authors. Published by Elsevier Ltd.

Keywords

  • Composite Material
  • Eye Tracker
  • Hospital
  • Internet of Things
  • Patient Bed

Fingerprint

Dive into the research topics of 'Use Eye Tracker to Design an Intelligent Patient Bed'. Together they form a unique fingerprint.

Cite this