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The availability of human walking gait data collected from the wearable acceleration sensors for trajectory control of an active artificial ankle joint in the unilateral trans-tibial prosthesis was investigated in this study. It is observed that the collected acceleration data can be used in the rulebased control of the prosthetic leg. A portable microprocessor-based data acquisition system, and data transfer module were designed for capturing the acceleration signals during walking. Flexionextension angle pattern of ankle joint was determined from acceleration signals of two tri-axial wearable accelerometers placed on the shank and foot segments. This pattern was utilized for control of the active artificial ankle joint in the trans-tibial prosthesis. This approach may have the potential of contributing the development of better prostheses.
Wydawca
Czasopismo
Rocznik
Tom
Strony
53--62
Opis fizyczny
Bibliogr. 33 poz., rys., wykr.
Twórcy
autor
- Sakarya University, Mechanical Engineering Department, Esentepe Campus, 54187 Sakarya, Turkey
autor
- Sakarya University, Mechanical Engineering Department, Esentepe Campus, Sakarya, Turkey
Bibliografia
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- [4] Hansen AH, Childress DS, Miff SC, Gard SA, Mesplay KP. The human ankle during walking: implications for design of biomimetic ankle prostheses. J Biomech 2004;37(10):1467–74. http://dx.doi.org/10.1016/j.jbiomech.2004.01.017.
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- [7] Kapti AO, Yucenur MS. Design and control of an active artificial knee joint. Mech Mach Theory 2006;41(12):1477–85. http://dx.doi.org/10.1016/j.mechmachtheory.2006.01.017.
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- [9] Paluska D, Herr H. The effect of series elasticity on actuator power and work output: implications for robotic and prosthetic joint design. Robot Autonom Syst 2006; 54(8):667–73. http://dx.doi.org/10.1016/j.robot.2006.02.013.
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- [19] Jasiewicz JM, Allum JHJ, Middleton JW, Barriskill A, Condie P, Purcell B, Li RCT. Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals. Gait Posture 2006;24(4):502–9. http://dx.doi.org/10.1016/j.gaitpost.2005.12.017.
- [20] Lau H, Tong K. The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot. Gait Posture 2008;27(2):248–57. http://dx.doi.org/10.1016/j.gaitpost.2007.03.018.
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- [27] Gafurov D, Snekkenes E. Gait recognition using wearable motion recording sensors. J Adv Signal Process 2009;1–16. http://dx.doi.org/10.1155/2009/415817.
- [28] Rong L, Jianzhong Z, Ming L, Xiangfeng H. Wearable acceleration sensor system for gait recognition. In: Proceedings of the 2nd IEEE Conference on Industrial Electronics and Applications (ICIEA) Harbin, China, May 23–25 2007. pp. 2654–9.
- [29] Hang LW, Hong CY, Yen CW, Chang DJ, Nagurka ML. Gait verification using knee acceleration signals. Expert Syst Appl 2011;38(12):14550–4. http://dx.doi.org/10.1016/j.eswa.2011.05.028.
- [30] Aoi S, Ogihara N, Funato T, Tsuchiya K. Sensory regulation of stance-to-swing transition in generation of adaptive human walking: a simulation study. Robot Autonom Syst 2012;60(5):685–91. http://dx.doi.org/10.1016/j.robot.2011.12.005.
- [31] Garcia E, Arevalo JC, Muñoz G, Gonzalez-de-Santos P. Combining series elastic actuation and magnetorheological damping for the control of agile locomotion. Robot Autonom Syst 2011;59(10):827–39. http://dx.doi.org/10.1016/j.robot.2011.06.006.
- [32] Kapti AO, Cerit M, Soydan Y, Ozcerit AT. Force controlled elastic actuator for lower limb prostheses. In: Proceedings of the XXII. Congress of the International Society of Biomechanics Cape Town, South Africa, July 5–9, 2009. p. 141.
- [33] Winter DA. Biomechanics and motor control of human movement. In: Appendix A. New York: John Wiley & Sons; 1990: 213–67.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9857326c-6571-4286-9a00-52ba6e2f104b