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AAAI
2010
14 years 11 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
RAS
2006
105views more  RAS 2006»
14 years 9 months ago
Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot
A class of biped locomotion called Passive Dynamic Walking (PDW) has been recognized to be efficient in energy consumption and a key to understand human walking. Although PDW is s...
Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura...
93
Voted
ICCHP
2010
Springer
14 years 8 months ago
CanSpeak: A Customizable Speech Interface for People with Dysarthric Speech
Current Automatic Speech Recognition (ASR) systems designed to recognize dysarthric speech require an investment in training that involves considerable effort and must be repeated ...
Foad Hamidi, Melanie Baljko, Nigel Livingston, Leo...
85
Voted
CA
2003
IEEE
15 years 3 months ago
Realistic Human Walking Paths
Pedestrian navigation is a complex function of human dynamics, a desired destination, and the presence of obstacles. People cannot stop and start instantaneously and their turning...
David C. Brogan, Nicholas L. Johnson
TKDE
2011
186views more  TKDE 2011»
14 years 4 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...