A Privacy-Aware Kinect-Based System for Healthcare Professionals

Wenbing Zhao; Roanna Lun; Connor Gordon; Abou-Bakar Fofana; Deborah Espy; Ann Reinthal; Beth Ekelman; Glenn Goodman; Joan Niederriter; Chaomin Luo; Xiong Luo

doi:10.1109/EIT.2016.7535241

A Privacy-Aware Kinect-Based System for Healthcare Professionals

Wenbing Zhao, Roanna Lun, Connor Gordon, Abou-Bakar Fofana, Deborah Espy, Ann Reinthal, Beth Ekelman, Glenn Goodman, Joan Niederriter, Chaomin Luo, Xiong Luo

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we present a novel system for healthcare professionals to enhance their compliance with best practices and regulations using Microsoft Kinect sensors and smart watches while strictly protecting patient privacy. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give our system the permission to monitor his or her activities. Our system supports the use of multiple Kinect sensors for improved tracking accuracy and better coverage for large workplaces. Furthermore, we introduce a non-intrusive biometrics-based single sign-on mechanism to allow a user to register once for all Kinect sensors within each session. Finally, our system generates alerts reliably on detection of non-compliant activities and delivers the alerts discreetly to a consented healthcare professional via a designated smart watch according to his/her personal preference.

Original language	American English
Journal	2016 IEEE International Conference on Electro Information Technology (EIT)
DOIs	https://doi.org/10.1109/EIT.2016.7535241
State	Published - Jan 1 2016

Keywords

Alerts
Biometrics
Compliance
Finite State Machine
Human Motion Tracking
Microsoft Kinect
Patient Privacy
Single Sign-on

Disciplines

Electrical and Computer Engineering
Health Information Technology

Access to Document

10.1109/EIT.2016.7535241License: CC BY

Cite this

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title = "A Privacy-Aware Kinect-Based System for Healthcare Professionals",

abstract = " In this paper, we present a novel system for healthcare professionals to enhance their compliance with best practices and regulations using Microsoft Kinect sensors and smart watches while strictly protecting patient privacy. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give our system the permission to monitor his or her activities. Our system supports the use of multiple Kinect sensors for improved tracking accuracy and better coverage for large workplaces. Furthermore, we introduce a non-intrusive biometrics-based single sign-on mechanism to allow a user to register once for all Kinect sensors within each session. Finally, our system generates alerts reliably on detection of non-compliant activities and delivers the alerts discreetly to a consented healthcare professional via a designated smart watch according to his/her personal preference.",

keywords = "Alerts, Biometrics, Compliance, Finite State Machine, Human Motion Tracking, Microsoft Kinect, Patient Privacy, Single Sign-on",

author = "Wenbing Zhao and Roanna Lun and Connor Gordon and Abou-Bakar Fofana and Deborah Espy and Ann Reinthal and Beth Ekelman and Glenn Goodman and Joan Niederriter and Chaomin Luo and Xiong Luo",

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AU - Zhao, Wenbing

AU - Lun, Roanna

AU - Gordon, Connor

AU - Fofana, Abou-Bakar

AU - Espy, Deborah

AU - Reinthal, Ann

AU - Ekelman, Beth

AU - Goodman, Glenn

AU - Niederriter, Joan

AU - Luo, Chaomin

AU - Luo, Xiong

N1 - W. Zhao, R. Lun, C. Gordon, A. B. Fofana, D. D. Espy, M. A. Reinthal, B. Ekelman, G. Goodman, J. Niederriter, Chaomin Luo and Xiong Luo, "A privacy-aware kinect-based system for healthcare professionals," in 2016 IEEE International Conference on Electro Information Technology (EIT), 2016, pp. 205-210.

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AB - In this paper, we present a novel system for healthcare professionals to enhance their compliance with best practices and regulations using Microsoft Kinect sensors and smart watches while strictly protecting patient privacy. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give our system the permission to monitor his or her activities. Our system supports the use of multiple Kinect sensors for improved tracking accuracy and better coverage for large workplaces. Furthermore, we introduce a non-intrusive biometrics-based single sign-on mechanism to allow a user to register once for all Kinect sensors within each session. Finally, our system generates alerts reliably on detection of non-compliant activities and delivers the alerts discreetly to a consented healthcare professional via a designated smart watch according to his/her personal preference.

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A Privacy-Aware Kinect-Based System for Healthcare Professionals

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Keywords

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