A privacy-aware Kinect-based system for healthcare professionals

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

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

30 Scopus citations

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	English
Title of host publication	IEEE International Conference on Electro Information Technology
Place of Publication	usa
Publisher	IEEE Computer [email protected]
Pages	205-210
Number of pages	6
Volume	2016-August
ISBN (Electronic)	9781467399852
DOIs	https://doi.org/10.1109/EIT.2016.7535241
State	Published - Aug 5 2016
Event	2016 IEEE International Conference on Electro Information Technology, EIT 2016 - Grand Forks, United States Duration: May 19 2016 → May 21 2016

Conference

Conference	2016 IEEE International Conference on Electro Information Technology, EIT 2016
Country/Territory	United States
City	Grand Forks
Period	05/19/16 → 05/21/16

Keywords

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

Access to Document

10.1109/EIT.2016.7535241

Cite this

Zhao, W., Lun, R., Gordon, C., Fofana, A.-B., Espy, D. D., Reinthal, M. A., Ekelman, B., Goodman, G., Niederriter, J., Luo, C., & Luo, X. (2016). A privacy-aware Kinect-based system for healthcare professionals. In IEEE International Conference on Electro Information Technology (Vol. 2016-August, pp. 205-210). Article 7535241 IEEE Computer [email protected]. https://doi.org/10.1109/EIT.2016.7535241

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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 Espy, \{Deborah D\} and Reinthal, \{M Ann\} and Beth Ekelman and Glenn Goodman and Joan Niederriter and Chaomin Luo and Xiong Luo",

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doi = "10.1109/EIT.2016.7535241",

language = "English",

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pages = "205--210",

booktitle = "IEEE International Conference on Electro Information Technology",

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}

Zhao, W, Lun, R, Gordon, C, Fofana, A-B, Espy, DD, Reinthal, MA, Ekelman, B, Goodman, G, Niederriter, J, Luo, C & Luo, X 2016, A privacy-aware Kinect-based system for healthcare professionals. in IEEE International Conference on Electro Information Technology. vol. 2016-August, 7535241, IEEE Computer [email protected], usa, pp. 205-210, 2016 IEEE International Conference on Electro Information Technology, EIT 2016, Grand Forks, United States, 05/19/16. https://doi.org/10.1109/EIT.2016.7535241

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AU - Lun, Roanna

AU - Gordon, Connor

AU - Fofana, Abou-Bakar

AU - Espy, Deborah D

AU - Reinthal, M Ann

AU - Ekelman, Beth

AU - Goodman, Glenn

AU - Niederriter, Joan

AU - Luo, Chaomin

AU - Luo, Xiong

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N2 - 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.

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.

KW - Alerts

KW - Biometrics

KW - Compliance

KW - Finite State Machine

KW - Human Motion Tracking

KW - Microsoft Kinect

KW - Patient Privacy

KW - Single Sign-on

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BT - IEEE International Conference on Electro Information Technology

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T2 - 2016 IEEE International Conference on Electro Information Technology, EIT 2016

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ER -

A privacy-aware Kinect-based system for healthcare professionals

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Keywords

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