Abstract
Robotic devices can be used as effective tools to provide rehabilitation supports to stroke patients. Such robotic rehabilitation practices can replace therapists providing rehabilitation therapy to patients. Patients can independently practice rehabilitation with robotic rehabilitation devices for longer hours. These advantages are now motivating patients to use rehabilitation robots. However, contemporary rehabilitation practices are expensive, and patients need to travel to rehabilitation centers for rehabilitation, which is time consuming and burdensome. This is why, the concepts of telerehabilitation are becoming more and more popular where the patients can practice rehabilitation at homes, and the therapists can remotely monitor the rehabilitation practices and communicate with the patients if necessary. However, such rehabilitation practices, real-time monitoring of patients by therapists from distant places and communication of patients with therapists may be more intuitive and human-friendly if the patients can operate the rehabilitation system and communicate with the therapists using a hand-held interface. Again, the hand-held interface may be more intuitive and engaging if the rehabilitation performance can be expressed through some game-like activities. To do so, a clear understanding of human factors involved in the gaming interface is necessary. However, such knowledge is not available in the literature. To address this knowledge gap, in this paper, the human factors associated with the operation of a hand-held gaming interface for robot-assisted full-body smart telerehabilitation of stroke patients are investigated. At first, potential human factors associated with the operation are identified through surveys conducted with healthcare professionals, researchers and patients. The identified human factors are then analyzed and divided into different categories, e.g. physical and cognitive human factors. The role of each human factor in the interface operation is explained. The findings can be utilized to design and develop hand-held gaming interfaces for robot-assisted telerehabilitation that may be more human-friendly and intuitive.
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References
Rahman, S.M.M.: Design of a modular knee-ankle-foot-orthosis using soft actuator for gait rehabilitation. In: Proceedings of the 14th Annual Conference on Towards Autonomous Robotic Systems (TAROS 2013). Lecture Notes in Computer Science, Oxford University, U.K., vol. 8069, pp. 195–209. Springer (2014). (2013)
Rahman, S.M.M., Ikeura, R.: A novel variable impedance compact compliant ankle robot for overground gait rehabilitation and assistance. Proc. Eng. 41, 522–531 (2012)
Rahman, S.M.M.: A novel variable impedance compact compliant series elastic actuator for human-friendly soft robotics applications. In: Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, pp. 19–24. IEEE Press (2012)
Rahman, S.M.M.: A novel variable impedance compact compliant series elastic actuator: analysis of design, dynamics, materials and manufacturing. Appl. Mech. Mater. 245, 99–106 (2013)
Yu, H., Rahman, S.M.M., Zhu, C.: Preliminary design analysis of a novel variable impedance compact compliant actuator. In: Proceedings of 2011 IEEE International Conference on Robotics and Biomimetics, pp. 2553–2558. IEEE Press (2011)
Rahman, S.M.M., Ikeura, R.: Improving interactions between a power assist robot system and its human user in horizontal transfer of objects using a novel adaptive control method. Adv. Hum.-Comput. Interact. 2012, 1–12 (2012). ID 745216
Valdés, B.A., Hilderman, C.G.E., Hung, C.T., Shirzad, N., Van der Loos, H.F.M.: Usability testing of gaming and social media applications for stroke and cerebral palsy upper limb rehabilitation. In: Proceedings of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3602–3605. IEEE Press (2014)
Rahman, S.M.M., Ikeura, R.: Cognition-based control and optimization algorithms for optimizing human-robot interactions in power assisted object manipulation. J. Inf. Sci. Eng. 32(5), 1325–1344 (2016)
Rahman, S.M.M., Wang, Y.: Mutual trust-based subtask allocation for human-robot collaboration in flexible lightweight assembly in manufacturing. Mechatronics 54, 94–109 (2018)
Kawai, Y., Honda, K., Kawai, H., Miyoshi, T., Fujita, M.: Tele-rehabilitation system for human lower limb using electrical stimulation based on bilateral teleoperation. In: Proceedings of 2017 IEEE Conference on Control Technology and Applications, pp. 1446–1451 (2017)
Rahman, S.M.M.: Evaluating and benchmarking the interactions between a humanoid robot and a virtual human for a real-world social task. In: Proceedings of the 6th International Conference on Advances in Information Technology (2013). Communications in Computer and Information Science, vol. 409, pp. 184–197 (2013)
Rahman, S.M.M., Ikeura, R.: Investigating the factors affecting human’s weight perception in lifting objects with a power assist robot. In: Proceedings of 2012 21st IEEE International Symposium on Robot and Human Interactive Communication, pp. 227–233 (2012)
Rahman, S.M.M., Ikeura, R.: Cognition-based variable admittance control for active compliance in flexible manipulation of heavy objects with a power assist robotic system. Robot. Biomim. 5(7), 1–25 (2018)
Rahman, S.M.M., Liao, Z., Jiang, L., Wang, Y.: A regret-based autonomy allocation scheme for human-robot shared vision systems in collaborative assembly in manufacturing. In: Proceedings of the 12th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2016), pp. 897–902 (2016)
Rahman, S.M.M., Wang, Y.: Dynamic affection-based motion control of a humanoid robot to collaborate with human in flexible assembly in manufacturing. In: Proceedings of ASME Dynamic Systems and Controls Conference, pp. V003T40A005 (2015)
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Rahman, S.M.M. (2020). Investigating Human Factors in the Hand-Held Gaming Interface of a Telerehabilitation Robotic System. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_95
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DOI: https://doi.org/10.1007/978-3-030-39512-4_95
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