Hierarchical Segmentation of Human Manipulation Movements
Author:
Affiliation:
1. University of Bremen,Robotics Group,Bremen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09955634.pdf?arnumber=9955634
Reference23 articles.
1. Incremental learning of full body motion primitives and their sequencing through human motion observation
2. Gesture recognition: A survey;mitra;IEEE Transactions on Systems Man and Cybernetics Part C Applications and Reviews,2007
3. Sharing features among dynamical systems with beta processes;fox;Neural Information Processing Systems,2009
4. Hierarchical segmentation of manipulation actions based on object relations and motion characteristics
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1. An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
2. Actuator-level motion and contact episode learning and classification using adaptive resonance theory;Intelligent Service Robotics;2023-09-12
3. Unsupervised Segmentation of Human Manipulation Movements Into Building Blocks;IEEE Access;2022
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