Enhancing body mechanics training for bedside care activities with a Kinect-based system

Wenbing Zhao; Qing Wu; M Ann Reinthal; Deborah D Espy; Xiong Luo; Tie Qiu

doi:10.1109/SMC.2017.8123183

Enhancing body mechanics training for bedside care activities with a Kinect-based system

Wenbing Zhao
, Qing Wu
, M Ann Reinthal
, Deborah D Espy
, Xiong Luo
, Tie Qiu

Cleveland State University
University of Science and Technology Beijing
Dalian University of Technology

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

3 Scopus citations

Abstract

Poor form of body mechanics has been attributed to as a major risk factor for lower back injuries, which costs billions of dollars a year in the US alone. In this paper, we report a case study on using a Kinect-based system during an annual competency training at a local nursing home to promote safe resident handling. Each participant of the study was asked to perform three specific bedside care tasks while being monitored by our system, and he/she was provided with realtime feedback in the form of a vibration via smart watch that he/she worn on detection of a wrong activity by our system. At the end of the session, the participant was asked to complete a short survey regarding the performance of our system and his/her opinion about the system usability. There are two major findings in this case study: (1) the majority of the nursing assistants engaged in poor body mechanics frequently when performing the designated tasks, which indicated that traditional training is not rigorous and may fail to accomplish its purpose, and (2) most participants expressed positive attitude towards using our system for competency training as well as during their jobs to reduce the risk of injuries.

Original language	English
Title of host publication	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3558-3562
Number of pages	5
Volume	2017-January
ISBN (Electronic)	9781538616451
DOIs	https://doi.org/10.1109/SMC.2017.8123183
State	Published - Nov 27 2017
Event	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: Oct 5 2017 → Oct 8 2017

Conference

Conference	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/Territory	Canada
City	Banff
Period	10/5/17 → 10/8/17

Keywords

Alerts
Body Mechanics
Competency Training
Human Motion Tracking
Lower Back Injury
Microsoft Kinect

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10.1109/SMC.2017.8123183

Cite this

Zhao, W., Wu, Q., Reinthal, M. A., Espy, D. D., Luo, X., & Qiu, T. (2017). Enhancing body mechanics training for bedside care activities with a Kinect-based system. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (Vol. 2017-January, pp. 3558-3562). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2017.8123183

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title = "Enhancing body mechanics training for bedside care activities with a Kinect-based system",

abstract = "Poor form of body mechanics has been attributed to as a major risk factor for lower back injuries, which costs billions of dollars a year in the US alone. In this paper, we report a case study on using a Kinect-based system during an annual competency training at a local nursing home to promote safe resident handling. Each participant of the study was asked to perform three specific bedside care tasks while being monitored by our system, and he/she was provided with realtime feedback in the form of a vibration via smart watch that he/she worn on detection of a wrong activity by our system. At the end of the session, the participant was asked to complete a short survey regarding the performance of our system and his/her opinion about the system usability. There are two major findings in this case study: (1) the majority of the nursing assistants engaged in poor body mechanics frequently when performing the designated tasks, which indicated that traditional training is not rigorous and may fail to accomplish its purpose, and (2) most participants expressed positive attitude towards using our system for competency training as well as during their jobs to reduce the risk of injuries.",

keywords = "Alerts, Body Mechanics, Competency Training, Human Motion Tracking, Lower Back Injury, Microsoft Kinect",

author = "Wenbing Zhao and Qing Wu and Reinthal, \{M Ann\} and Espy, \{Deborah D\} and Xiong Luo and Tie Qiu",

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doi = "10.1109/SMC.2017.8123183",

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booktitle = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",

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Zhao, W, Wu, Q, Reinthal, MA, Espy, DD, Luo, X & Qiu, T 2017, Enhancing body mechanics training for bedside care activities with a Kinect-based system. in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., usa, pp. 3558-3562, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. https://doi.org/10.1109/SMC.2017.8123183

Enhancing body mechanics training for bedside care activities with a Kinect-based system. / Zhao, Wenbing; Wu, Qing; Reinthal, M Ann et al.
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January usa: Institute of Electrical and Electronics Engineers Inc., 2017. p. 3558-3562.

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

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ER -

Enhancing body mechanics training for bedside care activities with a Kinect-based system

Abstract

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Keywords

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