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ETD Abstract Container

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Continuous Human Activity Tracking over a Large Area with Multiple Kinect Sensors

Hans, Akshat C.
http://rave.ohiolink.edu/etdc/view?acc_num=csu1535683935364003

Abstract Details

2018, Master of Science in Electrical Engineering, Cleveland State University, Washkewicz College of Engineering.
In recent years, researchers had been inquisitive about the use of technology to enhance the healthcare and wellness of patients with dementia. Dementia symptoms are associated with the decline in thinking skills and memory severe enough to reduce a person’s ability to pay attention and perform daily activities. Progression of dementia can be assessed by monitoring the daily activities of the patients. This thesis encompasses continuous localization and behavioral analysis of patient’s motion pattern over a wide area indoor living space using multiple calibrated Kinect sensors connected over the network. The skeleton data from all the sensor is transferred to the host computer via TCP sockets into Unity software where it is integrated into a single world coordinate system using calibration technique. Multiple cameras are placed with some overlap in the field of view for the successful calibration of the cameras and continuous tracking of the patients. Localization and behavioral data are stored in a CSV file for further analysis.
Wenbing Zhao, Ph.D. (Committee Chair)
Lili Dong, Ph.D. (Committee Member)
Yongjian Fu, Ph.D. (Committee Member)
67 p.
Computer Engineering; Computer Science

Recommended Citations

Citations

  • Hans, A. C. (2018). Continuous Human Activity Tracking over a Large Area with Multiple Kinect Sensors [Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1535683935364003

    APA Style (7th edition)

  • Hans, Akshat. Continuous Human Activity Tracking over a Large Area with Multiple Kinect Sensors. 2018. Cleveland State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1535683935364003.

    MLA Style (8th edition)

  • Hans, Akshat. "Continuous Human Activity Tracking over a Large Area with Multiple Kinect Sensors." Master's thesis, Cleveland State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=csu1535683935364003

    Chicago Manual of Style (17th edition)

csu1535683935364003
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© 2018, some rights reserved.Creative Commons License Continuous Human Activity Tracking over a Large Area with Multiple Kinect Sensors by Akshat C. Hans is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Cleveland State University and OhioLINK.