Effect of Intermittent Haptic Disturbance in Motor Skill Training

Abstract:

The aim of this study is to evaluate the effectiveness of haptic disturbance where the intermittent force field will applied in training motor skill. A test group (4 subjects) was trained using intermittent divergent force field while a control group (4 subjects) was trained in null force field. The parameter such as error trajectories, motion smoothness and the trial time were measured and a statistical analysis was done in order to identify motion improvement when using the proposed training method. Both groups showed motion improvement in reducing mean error, mean number of zero crossing (indicate the motion smoothness) and mean trial time after training. Only the motion smoothness in the test group improved significantly after training, in contrast to the control group, which showed no significant difference.

• Periodical: Applied Mechanics and Materials (Volume 432)
• Pages: 403-408
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.432.403
• Online since: September 2013
• Authors: Nor Zawani Ahmmad Siti, Su Lee Ming Eileen, Che Fai Yeong
• Keywords: Error Trajectories, Intermittent Force Field, Motion Smoothness, Trial Time

References

[1] T. Nef, and R. Riener: ARMin – Design of a Novel Arm Rehabilitation Robot, 9th International Conference on Rehabilitation Robotics, ICORR (2005), p.57–60.

DOI: 10.1109/icorr.2005.1501051

[2] C. L. Teo, E. Burdet and H. P. Lim: A Robotic Teacher of Chinese Handwriting, In proceedings of 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS (2002), pp.335-341.

DOI: 10.1109/haptic.2002.998977

[3] J. J. Abbott, G. D. Hager and A. M. Okamura: Steady-Hand Teleoperation With Virtual Fixtures, In proceedings of 12th IEEE International Workshop on Robot and Human Interactive Communication (2003), pp.145-151.

DOI: 10.1109/roman.2003.1251824

[4] T. P. Grantcharov, L. Carstensen and S. Schulze: Objective Assessment of Gastrointestinal Endoscopy Skills Using a Virtual Reality Simulator, Journal of the Society of Laparoendoscopic Surgeon, vol. 9 (2005), pp.130-133.

[5] P. A. Kenney, M. F. Wszolek, J. J. Gould, J. A. Libertino, and A. Moinzadeh: Face, Content, And Construct Validity of Dv-Trainer, a Novel Virtual Reality Simulator for Robotic Surgery, Journal of Urology, vol. 73 (2009), pp.1288-1292.

DOI: 10.1016/j.urology.2008.12.044

[6] C. A. Avizzano, J. Solis, A. Frisoli and M. Bergamasco: Motor Learning Skill Experiments Using Haptic Interface Capabilities, In proceedings of 11th IEEE International Workshop on Robot and Human Interactive Communication (2002), pp.198-203.

DOI: 10.1109/roman.2002.1045622

[7] J. Rodríguez, T. Gutiérrez, S. Casado, and E. J. Sánchez: Training Strategies for Learning a 3D Trajectory With Accuracy, IEEE International Symposium on Haptic Audio-Visual Environments and Games (2010), pp.1-6.

DOI: 10.1109/have.2010.5623979

[8] G. Srimathveeravalli and K. Thenkurussi: Motor Skill Training Assistance Using Haptic Attributes, Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2005).

DOI: 10.1109/whc.2005.96

[9] D. Feygin, M. Keehner, and R. Tendick: Haptic guidance: Experimental Evaluation of a Haptic Training Method for a Perceptual Motor Skill, In proceedings of 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS (2002).

DOI: 10.1109/haptic.2002.998939

[10] Y. Yokokohjit, R. L. Hollistt, and T. Kanadett: Toward Machine Mediated Training of Motor Skills -Skill Transfer From Human To Human Via Virtual Environment, In proceedings of 5th IEEE International Workshop on Robot and Communication (1996).

DOI: 10.1109/roman.1996.568646

[11] B. Bayart, A. Pocheville, and A. Kheddar: An Adaptive Haptic Guidance Software Module For I-TOUCH: Example Through A Handwriting Teaching Simulation And A 3D Maze, IEEE International Workshop on Haptic Audio Visual Environments and their Applications (2005).

DOI: 10.1109/have.2005.1545651

[12] J. Liu, S. C. Cramer, and D. J. Reinkensmeyer: Learning To Perform a New Movement With Robotic Assistance: Comparison of Haptic Guidance and Visual Demonstration, Journal of Neuroengineering and Rehabilitation, vol. 3 (2006).

DOI: 10.1186/1743-0003-3-20

[13] E.L.M. Su, G. Ganesh, C. F. Yeong, and E. Burdet: Accurate Micromanipulation Induced by Performing in Unstable Dynamics, 19th IEEE International Symposium on Robot and Human Interactive Communication (2010), pp.762-766.

DOI: 10.1109/roman.2010.5598674

[14] E.L.M. Su, G. Ganesh, C. F. Yeong, C. L. Teo, W. T. Ang, and E. Burdet: Effect of Grip Force and Training in Unstable Dynamics on Micromanipulation Accuracy, IEEE Transaction on Haptics: Special Issue on Haptics in Medicine and Clinical Skill Acquisition, vol. 4 (2011).

DOI: 10.1109/toh.2011.33