Abstract
Convenient systems and equipments to support humans are in great need for ever-growing populations of the elderly and those with disabilities caused by illness or injury. One of these system is the wheelchair, which can provide the user with many benefits such as maintaining mobility, continuing or broadening community and social activities, conserving strength and energy, and enhancing quality of life. However, when users use wheelchairs, they have to frequently stand and sit. This increases the physical burden on the user. For this reason, we proposed a self-standing omnidirectional robot. In order to support the user, the robot body must be able to flexibly make different movements and should be capable to deal with various control methods to meet diverse needs. In this paper, we present implementation of a user finger movement capturing device for control of self-standing omnidirectional robot.
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References
Lu, T., Yuan, K., Zhu, H.: Research status and development trend of intelligent wheelchair. Appl. Technol. Robot 2, 1–5 (2008)
Diez, P.F., Mut, V.A., Perona, E.M.A., Leber, E.L.: Asynchronous BCI control using high-frequency SSVEP. J. NeuroEng. Rehabil.D 8(39), 8 (2011). https://doi.org/10.1186/1743-0003-8-39
Grigorescu, S.M., Luth, T., Fragkopoulos, C., Cyriacks, M., Graser, A.: A BCI-controlled robotic assistant for quadriplegic people in domestic and professional life. Robotic 30(3), 419–431 (2012). Cambridge University PressCambridge University Press
Mori, Y., Sakai, N., Katsumura, K.: Development of a wheelchair with a lifting function. Adv. Mech. Eng. 2012, 9 (2012). https://doi.org/10.1155/2012/803014
Kobayashi, Y., Kinpara, Y., Shibusawa, T., Kuno, Y.: robotic wheelchair based on observations of people using integrated sensors. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 11–15 October USA (2009)
Ishida, S., Miyamoto, H.: Collision detecting device for omni directional electric wheelchair. Robotics 2013, 8 (2013)
Carlson, T., Demiris, Y.: Robotic wheelchair with collaborative control. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 5582–5587 (2010)
Jia, P., Hu, H.H., Lu, T., Yuan, K.: Head gesture recognition for hands-free control of an intelligent wheelchair. Ind. Robot: Int. J. 34(1), 60–68 (2007). https://doi.org/10.1108/01439910710718469
Arai, K., Mardiyanto, R.: Electric wheelchair controlled by eye-only for paralyzed user. J. Robot. Mechatron. 23(1), 66–74 (2011)
Escobedo, A., Spalanzani, A., Laugier, C.: Multimodal control of a robotic wheelchair: using contextual information for usability improvement. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2013), pp. 4262–4267 (2013). https://doi.org/10.1109/IROS.2013.6696967
Gonzalez, J., Munoz, A.J., Galindo, C., Fernandez-Madrigal, J.A., Blanco, J.L.: A description of the SENA robotic wheelchair. In: Proceedings of IEEE Mediterranean Conference (MELECON-2006), pp. 437–440 (2006)
Wang, H., Grindle, G.G., Candiotti, J., Chung, C., Shino, M., Houston, E., Cooper, R.A.: The Personal Mobility and Manipulation Appliance (PerMMA): a robotic wheelchair with advanced mobility and manipulation. In: Proceedings of IEEE Engineering in Medicine and Biology Society, pp. 3324–3327 (2012). https://doi.org/10.1109/EMBC.2012.6346676
Matsuo, K., Barolli, L., Implementation of omnidirectional wheelchair vision with small reflect mirrors: performance evaluation for tennis ball tracking considering different mirror angles. In: Proceedings of International Conference on Complex Intelligent and Software Intensive Systems (CISIS-2018), pp. 136–148 (2018)
Matsuo, K., Kurita, T., Barolli, L.: A new system for management of IoT sensors considering agile-kanban. In: Proceedings of Workshops of the International Conference on Advanced Information Networking and Applications (WAINA-2019), pp. 604–612 (2019)
Mitsugi, K., Matsuo, K., Barolli, L.: A comparison study of control devices for an omnidirectional wheelchair. In: Proceedings of the Workshops of the International Conference on Advanced Information Networking and Applications (WAINA-2020), pp. 651–661 (2020)
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Mitsugi, K., Matsuo, K., Barolli, L. (2021). Implementation of a User Finger Movement Capturing Device for Control of Self-standing Omnidirectional Robot. In: Barolli, L., Takizawa, M., Enokido, T., Chen, HC., Matsuo, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2020. Lecture Notes in Networks and Systems, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-61108-8_42
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DOI: https://doi.org/10.1007/978-3-030-61108-8_42
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