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» Learning human actions via information maximization
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PAMI
2007
186views more  PAMI 2007»
14 years 9 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
94
Voted
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 4 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
TEI
2010
ACM
163views Hardware» more  TEI 2010»
15 years 4 months ago
Action and representation in tangible systems: implications for design of learning interactions
In tangible learning systems, the facility to promote physically active engagement highlights the need to understand how different designs impact on action and interaction, and th...
Sara Price, Jennifer G. Sheridan, Taciana Pontual ...
72
Voted
ICRA
2006
IEEE
100views Robotics» more  ICRA 2006»
15 years 3 months ago
Learning EMG Control of a Robotic Hand: Towards Active Prostheses
— We introduce a method based on support vector machines which can detect opening and closing actions of the human thumb, index finger, and other fingers recorded via surface E...
Sebastian Bitzer, P. Patrick van der Smagt
IUI
2010
ACM
15 years 6 months ago
Towards maximizing the accuracy of human-labeled sensor data
We present two studies that evaluate the accuracy of human responses to an intelligent agent’s data classification questions. Prior work has shown that agents can elicit accurat...
Stephanie Rosenthal, Anind K. Dey