Abstract
The exoskeleton suit is designed to make a person who is completely or partially paralyzed below the waistline capable of walking, running with minimal effort. This suit is mainly focused on people suffering from paraplegia. The special ability of the following suit is that it does not make the person bulky rather it retains the natural formation and structure of a human. The following suit is based on textile-based sensors that determine the movement and motion of the forearms. The advanced sensors placed in the forearm calculate the pattern and swinging motion of the forearm and formulates the action. The calculated motion of the forearm provides a gesture-based input for the control system. Thus, it provides a quicker response time for the manipulators to act according to the scenario. The suit consists of lithium-ion battery inside a backpack which powers the manipulators. A control system is further initiated to the actuators placed in thigh, knee, and ankle of the leg. The cutting-edge technology will be able to improve the muscle movement in the legs and help to permanently resolve the issue instead of relying on the use of wheelchairs for the rest of their lives.
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References
L. Gui, Z. Yang, X. Yang, W. Gu, Y. Zhang, Design and control technique research of exoskeleton suit, in Proceedings of the IEEE International Conference on Automation and Logistics, Jinan, China, 18–21 August 2007
Varicap series datasheet from MACOM
J. Myer, P. Lukowicz, G. Troster, Textile Pressure Sensor for Muscle Activity and Motion Detection, Austria
P. Van Torre, P. Vanveerdeghem, H. Rogier, Correlated shadowing and fading characterization of MIMO off-body channels by means of multiple autonomous on-body nodes, in Proceedings of the 2014 8th European Conference on Antennas and Propagation (EUCAP), Hague, The Netherlands, 6–11 April 2017
C.J. Walsh, D. Paluska, K. Pasch et al., Development of a lightweight, underactuated exoskeleton for load-carrying augmentation, in IEEE International Conference on Robotics and Automation (IEEE, 2006), pp. 3485–3491
M.S. Cherry, D.J. Choi, K.J. Deng et al., Design and fabrication of an elastic knee orthosispreliminary results, in ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (American Society of Mechanical Engineers, 2006), pp. 565–573
E. Ambrosini et al., The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: first results of the RETRAINER project, in IEEE International Conference on Rehabilitation Robotics, 2017, pp. 56–61
J. Kamer, W. Reichenfelser, M. Gfoehler, Kinematic and kinetic analysis of human motion as design input for an upper extremity bracing system, in Proceedings of the IASTED International Conference Biomedical Engineering, 2012, pp. 376–383
T. Zahari, A.P.P. Abdul Majeed, M.Y. Wong, P. Tze, A. Ghaffar, A. Rahman, Preliminary investigation on the development of a lower extremity exoskeleton for gait rehabilitation: a clinical consideration. J. Med. Bioeng. 4(1), 1–6 (2015)
A. Agrawal, A. Dube, D. Kansara, S. Shah, S. Sheth, Exoskeleton: the friend of mankind in context of rehabilitation and enhancement. Indian J. Sci. Technol. 9(S1) (2016). ISSN 0974-5645
A.K. Seo, J. Lee, Y. Lee, T. Ha, Y. Shim, Fully autonomous hip exoskeleton saves metabolic cost of walking, in 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, pp. 4628–4635
E. Sejdic, K. Lowry, J. Bellanca, M. Redfern, J. Brach, A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 603–612 (2014)
D. Jarchi, C. Wong, R. Kwasnicki, B. Heller, G. Tew, G.Z. Yang, Gait parameter estimation from a miniaturized ear-worn sensor using singular spectrum analysis and longest common subsequence. IEEE Trans. Biomed. Eng. 61, 1261–1273 (2014)
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Sriram, P.R., Muthu Manikandan, M., Ayyappaa, N., Murali, R. (2020). Textile Sensor-Based Exoskeleton Suits for the Disabled. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore. https://doi.org/10.1007/978-981-15-0637-6_23
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DOI: https://doi.org/10.1007/978-981-15-0637-6_23
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