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HRI
2006
ACM
16 years 4 days ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
SIGGRAPH
1998
ACM
15 years 10 months ago
Synthesizing Realistic Facial Expressions from Photographs
We present new techniques for creating photorealistic textured 3D facial models from photographs of a human subject, and for creating smooth transitions between different facial e...
Frederic H. Pighin, Jamie Hecker, Dani Lischinski,...
CHI
2009
ACM
16 years 6 months ago
A biologically inspired approach to learning multimodal commands and feedback for human-robot interaction
In this paper we describe a method to enable a robot to learn how a user gives commands and feedback to it by speech, prosody and touch. We propose a biologically inspired approac...
Anja Austermann, Seiji Yamada
ISWC
2006
IEEE
16 years 6 days ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...
ALGOSENSORS
2008
Springer
15 years 8 months ago
Simple Robots in Polygonal Environments: A Hierarchy
With the current progress in robot technology and related areas, sophisticated moving and sensing capabilities are at hand to design robots capable of solving seemingly complex tas...
Jan Brunner, Matús Mihalák, Subhash ...