Academic literature on the topic 'Gait in humans – Computer simulation'

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Journal articles on the topic "Gait in humans – Computer simulation"

1

Ren, Bin, Jianwei Liu, and Jiayu Chen. "Simulating human–machine coupled model for gait trajectory optimization of the lower limb exoskeleton system based on genetic algorithm." International Journal of Advanced Robotic Systems 17, no. 1 (2020): 172988141989349. http://dx.doi.org/10.1177/1729881419893493.

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The lower limb exoskeleton robot is capable of providing assisted walking and enhancing exercise ability of humans. The coupling human–machine model has attracted a lot of research efforts to solve the complex dynamics and nonlinearity within the system. This study focuses on an approach of gait trajectory optimization of lower limb exoskeleton coupled with human through genetic algorithm. The human–machine coupling system is studied in this article through multibody virtual simulation environment. Planning of the motion trajectory is carried out by the genetic algorithm, which is iteratively
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2

Galarraga, O. C., V. Vigneron, N. Khouri, B. Dorizzi, and E. Desailly. "Predictive simulation of surgery effect on cerebral palsy gait." Computer Methods in Biomechanics and Biomedical Engineering 20, sup1 (2017): S85—S86. http://dx.doi.org/10.1080/10255842.2017.1382873.

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3

Yuan, Li Peng, Li Ming Yuan, and Hong Ying Lu. "M Optimized Multi Virtual Gravity." Applied Mechanics and Materials 214 (November 2012): 903–8. http://dx.doi.org/10.4028/www.scientific.net/amm.214.903.

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A popular hypothesis regarding legged locomotion is that humans and other large animals walk and run in a manner that minimizes the metabolic energy expenditure for locomotion. Here, we just consider the walking gait patterns. And we presented a hybrid model for a passive 2D walker with knees and point feet. The dynamics of this model were fully derived analytically. We have also proposed optimized virtual passive control laws This is also a simple and effective gait-generation method based on this kneed walker model, which imitates the energy and torque behaviors in every walking cycle. Follo
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4

Olenšek, Andrej, and Zlatko Matjačić. "Human-like control strategy of a bipedal walking model." Robotica 26, no. 3 (2008): 295–306. http://dx.doi.org/10.1017/s0263574707004055.

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SUMMARYThis paper presents a two-level control strategy for bipedal walking mechanism that accounts for implicit control of push-off on the between-step control level and tracking of imposed holonomic constraints on kinematic variables via feedback control on within-step control level. The proposed control strategy was tested in a biologically inspired model with minimal set of segments that allows evolution of human-like push-off and power absorption. We investigated controller's stability characteristics by using Poincaré return map analysis in eight simulation cases and further evaluated th
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5

Crompton, Robin H., Todd C. Pataky, Russell Savage, et al. "Human-like external function of the foot, and fully upright gait, confirmed in the 3.66 million year old Laetoli hominin footprints by topographic statistics, experimental footprint-formation and computer simulation." Journal of The Royal Society Interface 9, no. 69 (2011): 707–19. http://dx.doi.org/10.1098/rsif.2011.0258.

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It is commonly held that the major functional features of the human foot (e.g. a functional longitudinal medial arch, lateral to medial force transfer and hallucal (big-toe) push-off) appear only in the last 2 Myr, but functional interpretations of footbones and footprints of early human ancestors (hominins) prior to 2 million years ago (Mya) remain contradictory. Pixel-wise topographical statistical analysis of Laetoli footprint morphology, compared with results from experimental studies of footprint formation; foot-pressure measurements in bipedalism of humans and non-human great apes; and c
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Boukheddimi, M., F. Bailly, P. Soueres, and B. Watier. "Human gait simulation from a reduced set of low-dimensional tasks using hierarchical control." Computer Methods in Biomechanics and Biomedical Engineering 22, sup1 (2019): S408—S410. http://dx.doi.org/10.1080/10255842.2020.1714962.

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7

Widodo, Romy Budhi, and Chikamune Wada. "Artificial Neural Network Based Step-Length Prediction Using Ultrasonic Sensors from Simulation to Implementation in Shoe-Type Measurement Device." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 2 (2017): 321–29. http://dx.doi.org/10.20965/jaciii.2017.p0321.

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Step-length measurement as a spatial gait parameter is useful for the physician and physical therapist for determining the patient’s gait condition. We hypothesized that this could be determined using ultrasonic sensors mounted on a shoe-type measurement device. For that purpose, we have developed a shoe-type measurement device to measure gait parameters. Our system was found to effectively measure step-length and pressure distribution. However, we found that the presence of shoes leads to perishable and fragile conditions for the sensors. Therefore, we redesigned the number, angle, and range
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8

Kino, Hitoshi, Kosuke Sakata, Mitsunori Uemura, and Naofumi Mori. "Simulation verification for the robustness of passive compass gait with a joint stiffness adjustment." Advanced Robotics 33, no. 21 (2019): 1129–43. http://dx.doi.org/10.1080/01691864.2019.1671894.

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9

Ajayi, Michael Oluwatosin, Karim Djouani, and Yskandar Hamam. "Interaction Control for Human-Exoskeletons." Journal of Control Science and Engineering 2020 (June 26, 2020): 1–15. http://dx.doi.org/10.1155/2020/8472510.

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In this work, a general concept of the human-exoskeleton compatibility and interaction control is addressed. Rehabilitation, as applied to humans with motor control disorder, involves repetitive gait training in relation to lower limb extremity and repetitive task training in relation to upper limb extremity. It is in this regard that exoskeletal systems must be kinematically compatible with those of the subject in order to guarantee that the subject is being trained properly. The incompatibility between the wearable robotic device and the wearer results in joint misalignment, thus introducing
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10

Hussain, Shahid, Prashant K. Jamwal, and Mergen H. Ghayesh. "Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study." Computer Methods in Biomechanics and Biomedical Engineering 20, no. 6 (2017): 626–35. http://dx.doi.org/10.1080/10255842.2017.1282471.

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