Literature DB >> 28269252

Patient walk detection in hospital room using Microsoft Kinect V2.

Sanjay Mehrotra.   

Abstract

This paper describes a system using Kinect sensor to detect patient walk automatically in a hospital room setting. The system is especially essential for the case when the patient is alone and the nursing staff is absent. The patient activities are represented by the features extracted from Kinect V2 skeletons. The analysis to the recognized walk could help us to better understand the health situation of the patient and the possible hospital acquired infection (HAI), and provide valuable information to healthcare givers for making a corresponding treatment decision and alteration. The Kinect V2 depth sensor provides the ground truth.

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Year:  2016        PMID: 28269252     DOI: 10.1109/EMBC.2016.7591701

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Design of a Diagnostic System for Patient Recovery Based on Deep Learning Image Processing: For the Prevention of Bedsores and Leg Rehabilitation.

Authors:  Donggyu Choi; Jongwook Jang
Journal:  Diagnostics (Basel)       Date:  2022-01-21
  1 in total

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