학술논문

Investigation on the Neural Correlates of Haptic Training
Document Type
Conference
Source
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) SMC Systems, Man, and Cybernetics (SMC), 2018 IEEE International Conference on. :519-523 Oct, 2018
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Haptic interfaces
Training
Task analysis
Trajectory
Electroencephalography
Robot sensing systems
Haptic guidance
motor learning
engagement
sensorimotor rhythm (SMR)
electroencephalogram (EEG)
Language
ISSN
2577-1655
Abstract
Haptic guidance is a motor training procedure in which the subject is physically guided through an ideal motion by an haptic interface. It is especially valuable for repetitive training, and more effective when coupled with additional sensory feedback, e.g. the visual modality. The advantage of additional feedback modalities may stem from the learner's increased active participation and engagement. Here, we test this hypothesis by analyzing the learners' brain state during haptic training. Specifically, we focus on the sensorimotor rhythms (SMR), since they have been previously associated with the level of engagement directed towards a motor task. We conducted a circle-drawing haptic training, where subjects were asked to memorise the guided trajectory while their electroencephalogram (EEG) was recorded. During the experiment, only the haptic modality was maintained (i.e. unimodal) by keeping the task workspace visually hidden. Results show a clear trend: subjects who exhibited a performance improvement, were characterized by a stronger desynchronization of the beta rhythms over the contralateral hemisphere. This is in agreement with recent studies showing that contralateral beta rhythms changes are associated with motor skills retention. Moreover, under the assumption that SMR are indeed a marker of engagement, our results represent accumulating evidence that active participation is crucial for haptic training.