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Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform

Patel, Dhruvkumar Navinchandra
http://orcid.org/0000-0002-8266-784X
http://rave.ohiolink.edu/etdc/view?acc_num=wright1484053111038364

Abstract Details

2016, Master of Science (MS), Wright State University, Computer Science.
In this thesis, we have designed and developed a motion tracking and visualization system using the latest motion tracking sensory technologies. It is one of the enabling technologies for our novel visual-inertial odometer and human anatomy based 3D Locating, Mapping and Navigation system for endoscopy and drug delivery capsules used inside GI tract. In particular, we have: i) designed and completed a cloud-based sensory data collecting, processing and storage system to provide the reliable computing and storage platform; ii) explored different data processing methods to obtain improved-quality motion results from extremely noisy raw data, e.g., by using a low pass and high pass filter, and Kalman filters; iii) developed low-complexity algorithms to support real-time data analysis; and, iv) provided real-time 3 dimensional visualizations by a Unity 3D based visualizer. In this thesis, we have also showcased the use of application processors, which are widely used in smartphones and tablets, to develop a potentially low-cost sensor system and networks with enhanced computing, storage and networking capabilities. Specifically, we have explored Android/Android Wear, Google’s open source mobile OS’s, enabled smart devices, such as Sony Smartwatch 3, and their built-in sensory capabilities to build our sensory system. The completeness and maturity of such a widely used mobile platform ensure a fast prototype design and development process, as well as significantly better reliability and usability. The reliability of our sensory system is further improved through the use of a database approach, such as transactions, for the data flow from sensors to mobile platform and eventually to the cloud. Thus, our prototype design provides a working model to collect sensor data from Android Wear, and then transfer and store them into the cloud for further processing and disseminations.
Yong Pei, Ph.D. (Advisor)
Mateen Rizki, Ph.D. (Committee Member)
Paul Bender, Ph.D. (Committee Member)
100 p.
Computer Engineering; Computer Science
Miniatured Inertial Motion Sensors; Motion and Position Tracking; Visualization; Android Wear as a Motion Capture; Android Wearable Platform; Android Handheld as a Motion Capture; Kalman Filter; Estimate velocity; acceleration; position; Sports; Health

Recommended Citations

Citations

  • Patel, D. N. (2016). Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1484053111038364

    APA Style (7th edition)

  • Patel, Dhruvkumar. Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform. 2016. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1484053111038364.

    MLA Style (8th edition)

  • Patel, Dhruvkumar. "Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform." Master's thesis, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1484053111038364

    Chicago Manual of Style (17th edition)

wright1484053111038364
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© 2016, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.