TY  - EDBOOK
AB  - In this paper we present a biologically-inspired model for social behavior recognition and generation. Based on an unified sensorimotor representation, it integrates hierarchical motor knowledge structures, probabilistic forward models for predicting observations, and inverse models for motor learning. With a focus on hand gestures, results of initial evaluations against real-world data are presented.
DA  - 2009
DO  - 10.1007/978-3-642-10403-9_20
LA  - eng
PY  - 2009
SN  - 978-3-642-10403-9
TI  - Social motorics - towards an embodied basis of social human-robot interaction
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-18575192
Y2  - 2024-11-22T04:23:20
ER  -