Abstract
In this paper, a haptic device is proposed for rehabilitation and training for the upper limb. The proposed design for the haptic device has the main feature of decoupling two type of displacement present in the forward-backward motion: the pulling/pushing of the handle and the downwards displacement. The latter displacement is precisely controlling the strength of the stroke. The proposed haptic device is intended for motor-skill rehabilitation, learning new skills or training alternative. The computation of the actuating torques of the haptic device can be achieved with the hybrid dynamic model, based on the Newton - Euler formalism with Lagrange multipliers. In this modeling approach the position of one of the generalized coordinates (the handle’s vertical position, imposed by the user) is known and the corresponding haptic feedback (the pushing/pulling force) is computed. The fast computation of the actuation is increasing the quality of the haptic feedback, allowing dynamic consistency over time.
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References
Burdea, G.: The role of haptics in physical rehabilitation. Haptic Rendering, pp. 517–529 (2008)
Krebs, H.I., Ferraro, M., Buerger, S.P., Newbery, M.J., Makiyama, A., Sandmann, M., Hogan, N.: Rehabilitation robotics: pilot trial of a spatial extension for MIT-Manus. J. NeuroEng. Rehabil. 1(1), 5 (2004)
Kahn, L.E., Zygman, M.L., Rymer, W.Z., Reinkensmeyer, D.J.: Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study. J. Neuroeng. Rehabil. 3(1), 12 (2006)
Lum, P.S., Burgar, C.G., Shor, P.C., Majmundar, M., Van der Loos, M.: Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke. Arch. Phys. Med. Rehabil. 83(7), 952–959 (2002)
Yeh, S.C., Lee, S.H., Chan, R.C., Wu, Y., Zheng, L.R., Flynn, S.: The efficacy of a haptic-enhanced virtual reality system for precision grasp acquisition in stroke rehabilitation. J. Healthc. Eng. 2017, 9 (2017)
Singapogu, R.B., Sander, S.T., Burg, T.C., Cobb, W.S.: Comparative study of haptic training versus visual training for kinesthetic navigation tasks. Stud. Health Technol. Inform. 132, 469–471 (2008)
Shea, C.H., Lai, Q., Black, C., Park, J.H.: Spacing practice sessions across days benefits the learning of motor skills. Hum. Mov. Sci. 19(5), 737–760 (2000)
Escobar-Castillejos, D., Noguez, J., Neri, L., Magana, A., Benes, B.: A review of simulators with haptic devices for medical training. J. Med. Syst. 40(4), 104 (2016)
Feygin, D., Keehner, M., Tendick, R.: Haptic guidance: experimental evaluation of a haptic training method for a perceptual motor skill. In: IEEE Proceedings of the 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS 2002, pp. 40–47 (2002)
Ozgur, A.G., Wessel, M.J., Johal, W., Sharma, K., Özgür, A., Vuadens, P., Dillenbourg, P.: Iterative design of an upper limb rehabilitation game with tangible robots. In: ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 241–250 (2018)
O’Malley, M.K., Gupta, A., Gen, M., Li, Y.: Shared control in haptic systems for performance enhancement and training. J. Dyn. Syst. Meas. Control 128(1), 75–85 (2006)
Lam, P., Hebert, D., Boger, J., Lacheray, H., Gardner, D., Apkarian, J., Mihailidis, A.: A haptic-robotic platform for upper-limb reaching stroke therapy: preliminary design and evaluation results. J. NeuroEng. Rehabil. 5(1), 15 (2008)
Liu, G., Lu, K., Zhang, Y.: Haptic-based training for tank gunnery using decoupled motion control. IEEE Comput. Graph. Appl. 33(2), 73–79 (2013)
Bowyer, S.A., Davies, B.L., y Baena, F.R.: Active constraints/virtual fixtures: a survey. IEEE Trans. Robot. 30(1), 138–157 (2014)
Antonya, C.: Hybrid dynamic model for haptic systems with planar mechanisms. In: 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 174–178 (2013)
Carignan, C.R., Cleary, K.R.: Closed-loop force control for haptic simulation of virtual environments. Haptics-e 1(2), 1–14 (2000)
Acknowledgements
The publishing of this paper was supported by the project no. 1804/2018, entitled “SIM-TACK/Real-time motion tracking system for physiotherapy exercises for people with special educational needs” financed by Transilvania University of Brasov, programme “Grants for interdisciplinary teams”, competition 2018.
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Antonya, C., Butnariu, S., Pozna, C. (2019). Haptic Device with Decoupled Motion for Rehabilitation and Training of the Upper Limb. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_41
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DOI: https://doi.org/10.1007/978-3-030-16681-6_41
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