Senior Health Monitoring Using Kinect

Dat Tran; Wanli Ma; Dharmendra Sharma

doi:10.1109/CCE.2012.6315918

Senior Health Monitoring Using Kinect

Dat Tran, Wanli Ma, Dharmendra Sharma

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

51 Citations (Scopus)

Abstract

This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to evaluate the proposed system and experimental results as well as research experience on using the Kinect device will be presented

Original language	English
Title of host publication	The 4th International Conference on Communications Electronics (ICCE)
Editors	Nguyen Xuan Quynh, Jinwoo Park, Roberto D Graglia
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	309-312
Number of pages	4
ISBN (Electronic)	9781467324939
ISBN (Print)	9781467324922
DOIs	https://doi.org/10.1109/CCE.2012.6315918
Publication status	Published - 2012
Event	4th International Conference on Communications & Electronics (ICCE) - Hue, Hue, Viet Nam Duration: 1 Aug 2012 → 3 Aug 2012

Conference

Conference	4th International Conference on Communications & Electronics (ICCE)
Abbreviated title	ICCE 2012
Country/Territory	Viet Nam
City	Hue
Period	1/08/12 → 3/08/12

Access to Document

10.1109/CCE.2012.6315918

Cite this

@inproceedings{f0293c342146446989ae7c28f66e42fc,

title = "Senior Health Monitoring Using Kinect",

abstract = "This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to evaluate the proposed system and experimental results as well as research experience on using the Kinect device will be presented",

author = "Dat Tran and Wanli Ma and Dharmendra Sharma",

year = "2012",

doi = "10.1109/CCE.2012.6315918",

language = "English",

isbn = "9781467324922",

pages = "309--312",

editor = "Quynh, {Nguyen Xuan} and Jinwoo Park and Graglia, {Roberto D}",

booktitle = "The 4th International Conference on Communications Electronics (ICCE)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "4th International Conference on Communications & Electronics (ICCE), ICCE 2012 ; Conference date: 01-08-2012 Through 03-08-2012",

}

Tran, D , Ma, W & Sharma, D 2012, Senior Health Monitoring Using Kinect. in NX Quynh, J Park & RD Graglia (eds), The 4th International Conference on Communications Electronics (ICCE). IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 309-312, 4th International Conference on Communications & Electronics (ICCE), Hue, Viet Nam, 1/08/12. https://doi.org/10.1109/CCE.2012.6315918

Senior Health Monitoring Using Kinect. / Tran, Dat ; Ma, Wanli ; Sharma, Dharmendra.
The 4th International Conference on Communications Electronics (ICCE). ed. / Nguyen Xuan Quynh; Jinwoo Park; Roberto D Graglia. USA: IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 309-312.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Senior Health Monitoring Using Kinect

AU - Tran, Dat

AU - Ma, Wanli

AU - Sharma, Dharmendra

PY - 2012

Y1 - 2012

N2 - This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to evaluate the proposed system and experimental results as well as research experience on using the Kinect device will be presented

AB - This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to evaluate the proposed system and experimental results as well as research experience on using the Kinect device will be presented

U2 - 10.1109/CCE.2012.6315918

DO - 10.1109/CCE.2012.6315918

M3 - Conference contribution

SN - 9781467324922

SP - 309

EP - 312

BT - The 4th International Conference on Communications Electronics (ICCE)

A2 - Quynh, Nguyen Xuan

A2 - Park, Jinwoo

A2 - Graglia, Roberto D

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 4th International Conference on Communications & Electronics (ICCE)

Y2 - 1 August 2012 through 3 August 2012

ER -

Senior Health Monitoring Using Kinect

Abstract

Conference

Access to Document

Fingerprint

Cite this