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Computer Science

D-Index
86
Citations
37293
World Ranking
756
National Ranking
402

Overview

Thad Starner is affiliated with the Georgia Institute of Technology in the United States. Their research spans several interconnected fields, including Computer Science, Neuroscience, and Engineering, with a focus on interdisciplinary studies related to human interaction and advanced sensing technologies.

Their main fields of study include:

  • Computer Science
  • Neuroscience
  • Engineering

Within these broader areas, Thad Starner's work covers specific subfields such as:

  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

The main topics addressed in their research feature:

  • Tactile and Sensory Interactions
  • Interactive and Immersive Displays
  • Advanced Sensor and Energy Harvesting Materials
  • Stroke Rehabilitation and Recovery
  • Energy Harvesting in Wireless Networks
  • Hand Gesture Recognition Systems
  • Gaze Tracking and Assistive Technology

Thad Starner has contributed to several research papers, with notable recent publications including:

  • "Flexible computational photodetectors for self-powered activity sensing" (2022), published in npj Flexible Electronics
  • "SilentSpeller: Towards mobile, hands-free, silent speech text entry using electropalatography" (2022), presented at the CHI Conference on Human Factors in Computing Systems
  • "UbiquiTouch" (2020), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "OptoSense" (2020), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "SATURN" (2020), published in Communications of the ACM

The frequent publication venues where their work appears include:

  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • arXiv (Cornell University)
  • IEEE Pervasive Computing
  • npj Flexible Electronics
  • Communications of the ACM

Thad Starner has collaborated closely with several researchers. Frequent co-authors include:

  • Gregory D. Abowd
  • Yuhui Zhao
  • Caitlyn Seim
  • Dingtian Zhang
  • Nivedita Arora

Best Publications

  • Energy scavenging for mobile and wireless electronics

    J.A. Paradiso;T. Starner

  • Real-time American sign language recognition using desk and wearable computer based video

    T. Starner;J. Weaver;A. Pentland

  • The Aware Home: A Living Laboratory for Ubiquitous Computing Research

    Cory D. Kidd;Robert Orr;Gregory D. Abowd;Christopher G. Atkeson

  • Using GPS to learn significant locations and predict movement across multiple users

    Daniel Ashbrook;Thad Starner

  • Human-powered wearable computing

    T. Starner

  • Real-time American Sign Language recognition from video using hidden Markov models

    T. Starner;A. Pentland

  • Visual Recognition of American Sign Language Using Hidden Markov Models.

    Thad E. Starner

  • Augmented reality through wearable computing

    Thad Starner;Steve Mann;Bradley Rhodes;Jeffrey Levine

  • Remembrance Agent: A continuously running automated information retrieval system

    Bradley J. Rhodes;Thad Starner

  • Method and system for facilitating wireless, full-body, real-time user interaction with a digitally represented visual environment

    Pattie E. Maes;Bruce M. Blumberg;Trevor J. Darrell;Thad E. Starner

  • Wearable devices: new ways to manage information

    M. Billinghurst;T. Starner

  • Learning significant locations and predicting user movement with GPS

    D. Ashbrook;T. Starner

  • Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers

    J.A. Ward;P. Lukowicz;G. Troster;T.E. Starner

  • Human Generated Power for Mobile Electronics

    Thad Starner;Joseph A. Paradiso

  • American sign language recognition with the kinect

    Zahoor Zafrulla;Helene Brashear;Thad Starner;Harley Hamilton

  • The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring

    T. Starner;J. Auxier;D. Ashbrook;M. Gandy

  • Visually controlled graphics

    A. Azarbayejani;T. Starner;B. Horowitz;A. Pentland

  • Structured Light for Eye-Tracking

    Hayes Solos Raffle;Thad Eugene Starner;Josh Weaver;Edward Allen Keyes

  • Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers

    Paul Lukowicz;Jamie A Ward;Holger Junker;Mathias Stäger

  • Methods and systems for a virtual input device

    Thad Eugene Starner;Liang-Yu Tom Chi;Luis Ricardo Prada Gomez

Frequent Co-Authors

Gregory D. Abowd
Gregory D. Abowd Northeastern University
Irfan Essa
Irfan Essa Georgia Institute of Technology
Omer T. Inan
Omer T. Inan Georgia Institute of Technology
Bastian Leibe
Bastian Leibe RWTH Aachen University
Kai Kunze
Kai Kunze Keio University
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
William Ribarsky
William Ribarsky University of North Carolina at Charlotte
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Zhong Lin Wang
Zhong Lin Wang Georgia Institute of Technology

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