In order to self-organize symbols from observed motion patterns, it is necessary to temporally segment the continuous motion pattern flows into meaningful ...
Initially, patterns are segmented by pattern correlations and then stored into the associative memory. Afterwards, only new kinds of motions are fed through ...
In this paper, we propose a robust online action recognition algorithm with a segmentation scheme that detects start and end points of action occurrences.
... Memorization, Recognition and Abstraction of Humanoid Motions based on Correlations and Associative Memory,” Proc. of IEEE-RAS International Conference on ...
... associative memory model. ... Segmentation, Memorization, Recognition and Abstraction of Humanoid Motions Based on Correlations and Associative Memory.
This paper describes a novel approach for incremental learning of motion pattern primitives through long-term observation of human motion.
Segmentation, Memorization, Recognition and Abstraction of Humanoid Motions Based on Correlations and Associative Memory · H. KadoneYoshihiko Nakamura.
Segmentation, Memorization, Recognition and Abstraction of Humanoid Motions Based on Correlations and Associative MemoryHideki Kadone, Yoshihiko Nakamura · 1-6 ...
In this paper we describe an approach for on-line, incremental learning of full body motion primitives from observation of human motion.
In this paper we describe an approach for on-line, incremental learning of full body motion primitives from observation of human motion.