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Communication and sensing techniques for smart, seamless human-environment interactions
Descriptive
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Title
Communication and sensing techniques for smart, seamless human-environment interactions
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Nguyen
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Viet H.
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Viet H. Nguyen
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Marco Gruteser
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chair
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Chen
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Yingying
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Yingying Chen
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Wade
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Wade Trappe
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Advisory Committee
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Howard
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Richard
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Richard Howard
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Advisory Committee
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internal member
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Vu
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Tam
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Tam Vu
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Advisory Committee
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Rutgers University
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School of Graduate Studies
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theses
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2019
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2019-10
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2019
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English
Abstract
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Since its birth over 70 years ago, the computing area has gone over several generations, with significant reduction in size and cost. We are now entering a new generation of computing, called ubiquitous computing, where many small computers (smartphones, tablets, sensors, actuators, etc.) are placed on user's body or in the environments and provide many useful services to users. However, current devices and communication methods have not been able to provide fully smart and seamless interaction between users and the environments yet: either users are required to explicitly give attentions to devices and give them instructions to run, or environments need to be equipped with additional infrastructure, often expensive or inconvenient, to monitor user's presence and activities. Therefore, the next generation of computing requires devices that implicitly align with user's intention, obtain necessary information from environments as well as implicitly control them, and smart environments with minimal infrastructure setup to monitor user presence and behaviors.
The goal of this research is to propose novel communication and sensing methods to enable such requirements. In particular, the proposed solutions include: (i) TextureCode, a flicker-free high-speed screen-camera communication technique to help smart glasses equipped with cameras obtain useful information from video stream on electronics displays, (ii) a body-guided communication technique that are used for authenticating users with devices and objects on every single touch interaction, (iii) EyeLight, a sensing system based on visible light to provide indoor occupancy estimation and room activity recognition services, and (iv) HandSense, an on-hand capacitive coupling-based sensing system for recognizing micro, dynamic finger gestures suitable for controlling head-mounted devices. We believe these systems provide users with more seamless interaction with surrounding environments: as the environment-user interactions implicitly align well with user's intention, data exchange, sensing, or authentication happens in the background without interruption to user's workflow.
The goal of this research is to propose novel communication and sensing methods to enable such requirements. In particular, the proposed solutions include: (i) TextureCode, a flicker-free high-speed screen-camera communication technique to help smart glasses equipped with cameras obtain useful information from video stream on electronics displays, (ii) a body-guided communication technique that are used for authenticating users with devices and objects on every single touch interaction, (iii) EyeLight, a sensing system based on visible light to provide indoor occupancy estimation and room activity recognition services, and (iv) HandSense, an on-hand capacitive coupling-based sensing system for recognizing micro, dynamic finger gestures suitable for controlling head-mounted devices. We believe these systems provide users with more seamless interaction with surrounding environments: as the environment-user interactions implicitly align well with user's intention, data exchange, sensing, or authentication happens in the background without interruption to user's workflow.
Subject
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Topic
Electrical and Computer Engineering
Subject
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Topic
Visible light communication
Subject
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Topic
Ambient intelligence
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Rutgers University Electronic Theses and Dissertations
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ETD_10070
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1 online resource (xii, 134 pages) : illustrations
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Ph.D.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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doi:10.7282/t3-bqe1-4z61
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Name
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Nguyen
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Viet
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Permission or license
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2019-06-03 21:35:01
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Viet Nguyen
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Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-06-12T10:34:12
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2019-06-12T10:34:12
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