Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2

Liang Liu; Sanjay Mehrotra

doi:10.1109/CHASE.2016.74

Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2

Liang Liu, Sanjay Mehrotra

Industrial Engineering and Management Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This work describes a method of preventing pneumonia in the hospital room by automatically quantifying how much and how often the patient is active out-of-bed using Microsoft Kinect V2. Hospital Acquired Pneumonia (HAP) is closely associated with patient activities during patient's hospital stay. From a perspective of the healthcare staff, it is very essential to know the quantity of the patient's active time, especially when the patient is alone. The proposed system could recognize the out-of-bed activities using the features extracted from Kinect skeleton model. The observation on the detection results could provide information to healthcare staff to better understand the potential HAP formation and adjust the treatment plan in time.

Original language	English (US)
Title of host publication	Proceedings - 2016 IEEE 1st International Conference on Connected Health
Subtitle of host publication	Applications, Systems and Engineering Technologies, CHASE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	364-365
Number of pages	2
ISBN (Electronic)	9781509009435
DOIs	https://doi.org/10.1109/CHASE.2016.74
State	Published - Aug 16 2016
Event	1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 - Washington, United States Duration: Jun 27 2016 → Jun 29 2016

Other

Other	1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016
Country/Territory	United States
City	Washington
Period	6/27/16 → 6/29/16

Keywords

activities detection
patient monitoring

ASJC Scopus subject areas

Computer Science Applications
Information Systems and Management
Biomedical Engineering
Computer Networks and Communications
Hardware and Architecture

Access to Document

10.1109/CHASE.2016.74

Cite this

Liu, L., & Mehrotra, S. (2016). Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2. In Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 (pp. 364-365). [7545867] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CHASE.2016.74

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title = "Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2",

abstract = "This work describes a method of preventing pneumonia in the hospital room by automatically quantifying how much and how often the patient is active out-of-bed using Microsoft Kinect V2. Hospital Acquired Pneumonia (HAP) is closely associated with patient activities during patient's hospital stay. From a perspective of the healthcare staff, it is very essential to know the quantity of the patient's active time, especially when the patient is alone. The proposed system could recognize the out-of-bed activities using the features extracted from Kinect skeleton model. The observation on the detection results could provide information to healthcare staff to better understand the potential HAP formation and adjust the treatment plan in time.",

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booktitle = "Proceedings - 2016 IEEE 1st International Conference on Connected Health",

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Liu, L & Mehrotra, S 2016, Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2. in Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016., 7545867, Institute of Electrical and Electronics Engineers Inc., pp. 364-365, 1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016, Washington, United States, 6/27/16. https://doi.org/10.1109/CHASE.2016.74

Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2. / Liu, Liang; Mehrotra, Sanjay.

Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 364-365 7545867.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This work describes a method of preventing pneumonia in the hospital room by automatically quantifying how much and how often the patient is active out-of-bed using Microsoft Kinect V2. Hospital Acquired Pneumonia (HAP) is closely associated with patient activities during patient's hospital stay. From a perspective of the healthcare staff, it is very essential to know the quantity of the patient's active time, especially when the patient is alone. The proposed system could recognize the out-of-bed activities using the features extracted from Kinect skeleton model. The observation on the detection results could provide information to healthcare staff to better understand the potential HAP formation and adjust the treatment plan in time.

AB - This work describes a method of preventing pneumonia in the hospital room by automatically quantifying how much and how often the patient is active out-of-bed using Microsoft Kinect V2. Hospital Acquired Pneumonia (HAP) is closely associated with patient activities during patient's hospital stay. From a perspective of the healthcare staff, it is very essential to know the quantity of the patient's active time, especially when the patient is alone. The proposed system could recognize the out-of-bed activities using the features extracted from Kinect skeleton model. The observation on the detection results could provide information to healthcare staff to better understand the potential HAP formation and adjust the treatment plan in time.

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Liu L, Mehrotra S. Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2. In Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 364-365. 7545867 doi: 10.1109/CHASE.2016.74

Detecting Out-of-Bed Activities to Prevent Pneumonia for Hospitalized Patient Using Microsoft Kinect V2

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