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    Arrays of single pixel Time-Of-Flight sensors for privacy preserving tracking and coarse pose estimation

    Author
    Bhattacharya, Indrani
    View/Open
    177251_Bhattacharya_rpi_0185N_10835.pdf (19.86Mb)
    Other Contributors
    Radke, Richard J., 1974-; Sanderson, A. C. (Arthur C.); Karlicek, Robert F.;
    Date Issued
    2016-05
    Subject
    Electrical engineering
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/20.500.13015/1671
    Abstract
    While "smart" rooms must understand where their occupants are and estimate what they are doing,in many environments (e.g., hospital rooms or restrooms), preserving the privacy of the occupants is a critical issue, so cameras cannot be used. On the other hand, commonly-used occupancy sensors such as passive infrared are often ineffective. In this thesis, we present a method for real-time person tracking and coarse pose estimation using a sparse array of low-cost, low-power, single-pixel time-of-flight (ToF) sensors mounted on the ceiling of the room. These single pixel sensors are relatively inexpensive compared to commercial ToF cameras, and unlike cameras, they preserve the privacy of the occupants, since the only information collected is a small set of distance measurements. The tracking algorithm includes higher level logic about how people move and interact in a room and makes estimates about the locations of people even in the absence of direct measurements. A maximum likelihood classifiier based on features extracted from the time series of ToF measurements is used for robust pose classification into sitting, standing and walking states. We evaluate and refine our algorithms in a real physical test bed called the Smart Space Test bed (SST) at the NSF Engineering Research Center for Lighting Enabled Systems and Applications (LESA) and also in a larger simulated lab environment built with the Unity game engine.; Environments that feature "lighting systems that think" are becoming a reality through a fusion of advanced light sources, sensors, and integrated control systems. Pivotal to such system design is the concept of "smart rooms" that will be capable of automatically understanding different human usage patterns in a room (e.g., reading a book, working on a laptop, attending or presenting at a meeting, fall detection), and respond by providing the right light where and when needed, thereby serving the purpose of increased energy savings as well as improved health, comfort and productivity.;
    Description
    May 2016; School of Engineering
    Department
    Dept. of Electrical, Computer, and Systems Engineering;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.;
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