Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-26T17:10:00.360Z Has data issue: false hasContentIssue false

A finger skill transfer system using a multi-fingered haptic interface robot and a hand motion image

Published online by Cambridge University Press:  29 May 2013

Takahiro Endo*
Affiliation:
Faculty of Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
Mana Kobayashi
Affiliation:
Faculty of Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
Haruhisa Kawasaki
Affiliation:
Faculty of Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
*
*Corresponding Author. E-mail: tendo@gifu-u.ac.jp

Summary

The teaching of how to exert fingertip forces and how to move the fingers is essential for transferring skill using the fingers to perform fine motor tasks. In this paper we accomplish the transfer of fingertip forces and positions in three-dimensional space by combining a multi-fingered haptic interface robot, which can measure and present the three-dimensional forces and positions at five fingertips, and an image display system that records a trainer's hand image and displays it to a trainee. Several experimental results show a high fingertip force and position transferability and the great potential of our proposed transfer system.

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Ministry of Economy, Trade and Industry (METI), Ministry of Health, Labor and Welfare (MHLW), Ministry of Education, Culture, Sports, Science and Technology (MEXT), ed., White Paper on Monozukuri 2007 (Gyousei, Tokyo, Japan, 2007) (in Japanese).Google Scholar
2.Cabinet Office and Government of Japan, ed., White Paper on Aging Society (Insatsu Tsuuhan, Japan, 2011) (in Japanese).Google Scholar
3.Haluck, R. and Krummel, T., “Computers and virtual reality for surgical education in the 21st century,” Arch. Surg. 135, 786792 (2000).CrossRefGoogle Scholar
4.Reznick, R. and MacRae, H., “Teaching surgical skills – change in the wind,” New England J. Med. 355, 26642669 (2006).CrossRefGoogle ScholarPubMed
5.Foulke, E., “Transfer of a complex perceptual skill,” Percept. Mot. Skills 18, 733740 (1964).CrossRefGoogle ScholarPubMed
6.Yokokohji, Y., Hollis, R., Kanade, T., Henmi, K. and Yoshikawa, T., “Toward Machine Mediated Training of Motor Skills – Skill Transfer From Human to Human Via Virtual Environment,” In: Proceedings of the IEEE International Workshop on Robot and Human Communication, Ibaraki, Japan (1996) pp. 3237.Google Scholar
7.Feygin, D., Keehner, M. and Tendick, F., “Haptic Guidance: Experimental Evaluation of a Haptic Training Method for a Perceptual Motor Skill,” In: Proceedings of the 10th Symposia on Haptic Interfaces for Virtual Environmental and Teleoperator Systems (HAPTICS'02), Florida, USA (2002) pp. 4047.Google Scholar
8.Teo, C., Burdet, E. and Lim, H., “A Robotic Teacher of Chinese Handwriting,” In: Proceedings of the 10th Symposia on Haptic Interfaces for Virtual Environmental & Teleoperator Systems (HAPTICS'02), Florida, USA (2002) pp. 335341.Google Scholar
9.Bluteau, J., Coquillart, S., Payan, Y. and Gentaz, E., “Haptic guidance improves the visuo-manual tracking of trajectories,” PLoS ONE 3, e1775 (2008).CrossRefGoogle ScholarPubMed
10.Henmi, K. and Yoshikawa, T., “Virtual Lesson and Its Application to Virtual Calligraphy System,” In: Proceedings of 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium (1998) pp. 12751280.Google Scholar
11.Saga, S., Kawakami, N. and Tachi, S., “Haptic Teaching Using Opposite Force Presentation,” Poster Presentation in Proceedings of the 1st Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘05), Pisa, Italy (2005).Google Scholar
12.Okuda, K., Suzuki, Y. and Ohnishi, K., “Improvement in Motion Learning System Using Force Reverse Presentation Control with Variable Force and Time,” In: Proceedings of 2011 IEEE International Symposium on Industrial Electronics (ISIE), Gdansk, Poland (2011) pp. 21712176.CrossRefGoogle Scholar
13.Williams, R. II, Srivastava, M., Conatser, R. Jr. and Howell, J., “Implementation and evaluation of a haptic playback system,” Haptics-e 3, 16 (2004).Google Scholar
14.Morris, D., Tan, H., Barbagli, F., Chang, T. and Salisbury, K., “Haptic Feedback Enhances Force Skill Learning,” In: Proceedings of the 2nd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘07), Tsukuba, Japan (2007) pp. 2126.CrossRefGoogle Scholar
15.Maclean, K. and Hayward, V., “Do it yourself haptics, part II: Interaction design,” IEEE Robot. Autom. Mag. 15, 104119 (2008).CrossRefGoogle Scholar
16.Marchal-Crespo, L. and Reinkensmeyer, D., “Review of control strategies for robotic movement training after neurologic injury,” J. Neuro. Eng. Rehabil. 6, 20 (2009).CrossRefGoogle ScholarPubMed
17.Billodeau, E. and Billodeau, I., “Motor-skills learning,” Annu. Rev. Psychol. 12, 243280 (1961).CrossRefGoogle Scholar
18.Schmidt, R. and Lee, T., Motor Control and Learning: A Behavioral Emphasis, 5th ed. (Human Kinetics, Champaign, Illinois, 2011).Google Scholar
19.Dinsmore, M., Langrana, N., Burdea, G. and Ladeji, J., “Virtual Reality Training Simulation for Palpation of Subsurface Tumors,” In: Proceedings of the Virtual Reality Annual International Symposium (VRAIS ‘97), New Mexico, USA (1997) pp. 5460.CrossRefGoogle Scholar
20.Alhalabi, M., Daniulaitis, V., Kawasaki, H. and Hori, T., “Medical Training Simulation for Palpation of Subsurface Tumor Using HIRO,” In: Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘05), Pisa, Italy (2005) pp. 623624.CrossRefGoogle Scholar
21.Nakao, M., Minato, K., Kuroda, T., Komori, M., Oyama, H. and Takahashi, T., “Transferring bioelasticity knowledge through haptic interaction,” IEEE Multimedia 13, 5060 (2006).CrossRefGoogle Scholar
22.Kuroda, Y., Hirai, M., Nakao, M., Sato, T., Kuroda, T., Masuda, Y. and Oshiro, O., “Construction of training environment for surgical exclusion with a basic study of multi-finger haptic interaction,” In: Proceedings of the 2nd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘07), Tsukuba, Japan (2007) pp. 525530.CrossRefGoogle Scholar
23.Howell, J., Conatser, R., Williams, R. II, Burns, J. and Eland, D., “Palpatory diagnosis training on the virtual haptic back: Performance improvement and user evaluations,” J. Am. Osteopath Assoc. 108, 2936 (2008).Google ScholarPubMed
24.Ullrich, S. and Kuhlen, T., “Haptic palpation for medical simulation in virtual environments,” IEEE Trans. Vis. Comput. Graphics 18, 617625 (2012).CrossRefGoogle ScholarPubMed
25.Endo, T., Kawasaki, H., Mouri, T., Ishigure, Y., Shimomura, H., Matsumura, M. and Koketsu, K., “Five-fingered haptic interface robot: HIRO III,” IEEE Trans. Haptics 4, 458463 (2011).CrossRefGoogle ScholarPubMed
26.Endo, T., Kanno, T., Kobayashi, M. and Kawasaki, H., “Human perception test of discontinuous force and a trial of skill transfer using a five-fingered haptic interface,” J. Robot. 2010, Article ID 542360, 14 pp (2010) doi:10.1155/2010/542360.Google Scholar
27.CyberGlove Systems, “CyberGrasp,” (2013) [online]. Available at: http://www.cyberglovesystems.com/products/cybergrasp/overview.Google Scholar
28.Frisoli, A., Rocchi, F., Marcheschi, S., Dettori, A., Salsedo, F. and Bergamasco, M., “A New Force-Feedback Arm Exoskeleton for Haptic Interaction in Virtual Environment,” In: Proceedings of the First Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘05), Pisa, Italy (2005) pp. 191201.Google Scholar
29.Maekawa, H. and Hollerbach, J., “Haptic Display for Object Grasping and Manipulating in Virtual Environment,” In: Procceedings of 1998 IEEE ICRA, Leuven, Belgium (1998) pp. 25662573.Google Scholar
30.Sato, K., Minamizawa, K., Kawakami, N. and Tachi, S., “Haptic Telexistence,” Proceedings of 34th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH (2007).Google Scholar
31.Yokokohji, Y., Hollis, R. L. and Kanade, T., “WYSIWYF display: A visual/haptic interface to virtual environment,” Presence 8, 412434 (1999).CrossRefGoogle Scholar
32.Kawasaki, H., Ohtuka, Y., Alhalabi, M. O. and Mouri, T., “Haptic Rendering and Perception of Frictional Moment,” In: Proceedings of EuroHaptics Conference, Paris, France (2006) pp. 201206.Google Scholar
33.Rissanen, M., Kuroda, Y., Nakao, M., Kume, N., Kuroda, T. and Yoshihara, H., “Toward Visualization of Skill in VR: Adaptive Real-Time Guidance for Learning Force Exertion Through the ‘Shaping’ Strategy,” In: Proceedings of the 2nd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC ‘07), Tsukuba, Japan (2007) pp. 324329.CrossRefGoogle Scholar
34.Powell, D. and O'Malley, M., “Co-Presentation of Force Cues for Skill Transfer via Shared-Control Systems,” In: Proceedings of the 16th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Massachusetts, USA (2010) pp. 453456.Google Scholar