3,675 research outputs found
Modular Haptic Stimulus Board CAD Models
No full textMoringen A, Kõiva R. Modular Haptic Stimulus Board CAD Models. Bielefeld University; 2015.This archive contains the CAD models of the Modular Haptic Stimulus Board. Models of two different sizes are provided , 3x3 cm and 9x9 cm, resp.
The blocks have been used in a series of haptic interaction experiments, and in the following publications:
- A. Moringen*, S. Fleer*, G. Walck*, and Ritter. H. Attention-based robot learning of
haptic interaction. In Eurohaptics, 2020.
- S. Fleer*, A. Moringen*, Roberta L. Klatzky, and Helge Ritter. Learning efficient hap-
tic shape exploration with a rigid tactile sensor array. PLOS ONE, 15(1):1–22, 01 2020.
- A. Moringen*, S. Fleer*, and H. Ritter. Scaffolding haptic attention with controller gat-
ing. In International Conference on Artificial Neuronal Networks; *Both Authors contributed
equally, 2019.
- A. Moringen, W. Aswolinkiy, G. Buescher, G. Walck, R. Haschke, and H. Ritter. Modeling
Target-Distractor Discrimination for Haptic Search in a 3D Environment. In IEEE RAS/EMBS
International Conference on Biomedical Robotics and Biomechatronics, 2018.
- A. Moringen, Robert Haschke, and Helge Ritter. Search procedures during haptic search
in an unstructured 3D display. In Seungmoon Choi, Katherine J. Kuchenbecker, and Greg
Gerling, editors, 2016 IEEE Haptics Symposium (HAPTICS). Proceedings. IEEE, 2016.
- K. Krieger*, Alexandra Moringen*, Robert Haschke, and Helge Ritter. Shape Features of
the Search Target Modulate Hand Velocity, Posture and Pressure during Haptic Search in a
3D Display. In Lecture Notes in Computer Science. Springer, 2016
Learning to Teach: Scaffolded Meta-Learner for Efficient Teaching of Human Learners
No full textMoringen A. Learning to Teach: Scaffolded Meta-Learner for Efficient Teaching of Human Learners. Presented at the NeurIPS, WiML Workshop, 2020
Supplementary Haptic Framework for Dexterous Training during Rehabilitation
No full textMoringen A, Ritter H. Supplementary Haptic Framework for Dexterous Training during Rehabilitation. In: Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on Neurorehabilitation (ICNR2016). Biosystems & Biorobotics. Vol 15. Cham: Springer; 2016: 887-891
Haptic learning and haptic search for complex shapes
No full textMoringen A, Ritter H. Haptic learning and haptic search for complex shapes. In: DGR Days. 2016
Towards Reinforcement Learning of Haptic Search in 3D Environment
Full text linkMoringen A, Nowainski J, Ritter H. Towards Reinforcement Learning of Haptic Search in 3D Environment.; 2018
Monitoring the Learning Progress In Piano Playing With Hidden Markov Models
No full textZiegenbein N, Friedman J, Moringen A. Monitoring the Learning Progress In Piano Playing With Hidden Markov Models. In: AAAI Workshop AI for Education. 2022
Optimizing a Scaffold to Guide Motor Skill Learning
No full textHeitkamp D, Krieger K, Friedman J, Moringen A. Optimizing a Scaffold to Guide Motor Skill Learning. In: AAAI-22 Workshop on Reinforcement Learning for Education: Opportunities and Challenges. 2022
Hierarchical Bayesian Modeling of Manipulation Sequences from Bimodal Input
Full text linkBarchunova A, Moringen J, Haschke R, Ritter H. Hierarchical Bayesian Modeling of Manipulation Sequences from Bimodal Input. Presented at the Proceedings of the 11th International Conference on Cognitive Modeling, Berlin
Meta-learning Haptic Exploration of Simple 3D Objects
No full textMoringen A, Fleer S, Ritter H. Meta-learning Haptic Exploration of Simple 3D Objects. In: 2021 IEEE World Haptics Conference. Piscataway, NJ: IEEE; 2021
Learning juggling by gradually increasing difficulty vs. learning the complete skill results in different learning patterns
No full textGeller N, Moringen A, Friedman J. Learning juggling by gradually increasing difficulty vs. learning the complete skill results in different learning patterns. Frontiers in Psychology . 2023;14: 1284053.Motor learning is central to sports, medicine, and other health professions as it entails learning through practice. To achieve proficiency in a complex motor task, many hours of practice are required. Therefore, finding ways to speed up the learning process is important. This study examines the impact of different training approaches on learning three-ball cascade juggling. Participants were assigned to one of two groups: practicing by gradually increasing difficulty and elements of the juggling movement ("learning in parts") or training on the complete skill from the start ("all-at-once"). Results revealed that although the all-at-once group in the early stages of learning showed greater improvement in performance, the "learning in parts" group managed to catch up, even over a relatively short period of time. The lack of difference in performance between the groups at the end of the training session suggests that the choice of training regime (between all-at-once and learning in parts), at least in the short term, can be selected based on other factors such as the learner's preference, practical considerations, and cognitive style. Copyright © 2023 Geller, Moringen and Friedman
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