Bed angle detection in hospital room using Microsoft Kinect V2

Liang Liu, Sanjay Mehrotra

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

6 Scopus citations

Abstract

This paper will focus on bed angle detection in hospital room automatically using the latest Kinect sensor. The developed system is an ideal application for nursing staff to monitoring the bed status for patient, especially under the situation that the patient is alone. The patient bed is reconstructed from point cloud data using polynomial plane fitting. The analysis to the detected bed angle could help the nursing staff to understand the potential developed hospital acquired infection (HAI) and the health situation of the patient, and acquire informative knowledge of the relation between bed angle and disease recovery to decide appropriate treatment strategy.

Original languageEnglish (US)
Title of host publicationBSN 2016 - 13th Annual Body Sensor Networks Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages277-280
Number of pages4
ISBN (Electronic)9781509030873
DOIs
StatePublished - Jul 18 2016
Event13th Annual Body Sensor Networks Conference, BSN 2016 - San Francisco, United States
Duration: Jun 14 2016Jun 17 2016

Other

Other13th Annual Body Sensor Networks Conference, BSN 2016
CountryUnited States
CitySan Francisco
Period6/14/166/17/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Bed angle detection in hospital room using Microsoft Kinect V2'. Together they form a unique fingerprint.

  • Cite this

    Liu, L., & Mehrotra, S. (2016). Bed angle detection in hospital room using Microsoft Kinect V2. In BSN 2016 - 13th Annual Body Sensor Networks Conference (pp. 277-280). [7516273] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BSN.2016.7516273