T. Starner

Publications331
h-index62
Citations22,704
Highly Influential Citations1,100
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View-based and modular eigenspaces for face recognition
TLDR
We describe experiments with eigenfaces for recognition and interactive search in a large-scale face database. Expand
Using GPS to learn significant locations and predict movement across multiple users
TLDR
Wearable computers have the potential to act as intelligent agents in everyday life and to assist the user in a variety of tasks, using context to determine how to act. Expand
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
TLDR
We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American sign language (ASL) using a single camera to track the user's unadorned hands. Expand
Energy scavenging for mobile and wireless electronics
TLDR
Energy harvesting has grown from long-established concepts into devices for powering ubiquitously deployed sensor networks and mobile electronics. Expand
Real-time American Sign Language recognition from video using hidden Markov models
TLDR
We describe a real-time HMM-based system for recognizing sentence level American Sign Language which attains a word accuracy of 99.2% without explicitly modeling the fingers. Expand
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
TLDR
We are building a home, called the Aware Home, to create a living laboratory for research in ubiquitous computing for everyday activities. Expand
Visual Recognition of American Sign Language Using Hidden Markov Models.
TLDR
Using hidden Markov models, an unobstrusive single view camera system is developed that can recognize hand gestures, namely, a subset of American Sign Language (ASL). Expand
Human-Powered Wearable Computing
  • T. Starner
  • Engineering, Computer Science
  • IBM Syst. J.
  • 1 September 1996
TLDR
This paper explores the possibility of harnessing the energy expended during the user's everyday actions to generate power for his or her computer, thus eliminating the impediment of batteries. Expand
Learning Significant Locations and Predicting User Movement with GPS
TLDR
We present a system that automatically clusters GPS data taken over an extended period of time into meaningful locations at multiple scales. Expand
The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring
TLDR
In this paper we present a wearable device for control of home automation systems via hand gestures. Expand
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