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UIC
2007
Springer
16 years 20 days ago
Activity Recognition Using an Egocentric Perspective of Everyday Objects
This paper presents an activity recognition approach based on the tracking of a specific human actor’s current object manipulation actions, complemented by two kinds of situation...
Dipak Surie, Thomas Pederson, Fabien Lagriffoul, L...
IBPRIA
2005
Springer
16 years 2 days ago
Extracting Motion Features for Visual Human Activity Representation
This paper presents a technique to characterize human actions in visual surveillance scenarios in order to describe, in a qualitative way, basic human movements in general imaging ...
Filiberto Pla, Pedro Canotilho Ribeiro, José...
ICANN
2005
Springer
16 years 2 days ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
ECAI
2004
Springer
15 years 12 months ago
Active Learning for Robot Manipulation
Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...
Antonio Morales, Eris Chinellato, Andrew H. Fagg, ...
ACMDIS
2000
ACM
15 years 11 months ago
Touch Me, Hit Me and I Know How You Feel: A Design Approach to Emotionally Rich Interaction
In this paper we propose a 3-step method for designing emotionally rich interactions, illustrated by the design of an alarm clock. By emotionally rich interaction we understand in...
Stephan Wensveen, Kees Overbeeke, J. P. Djajadinin...