Human Joint Torque Modelling With MMG and EMG During Lower Limb Human-Exoskeleton Interaction

2021 ◽  
Vol 6 (4) ◽  
pp. 7185-7192
Author(s):  
Christopher Caulcrick ◽  
Weiguang Huo ◽  
Will Hoult ◽  
Ravi Vaidyanathan
Keyword(s):  
Author(s):  
Elisa Panero ◽  
Giovanni Gerardo Muscolo ◽  
Stefano Pastorelli ◽  
Laura Gastaldi
Keyword(s):  

Author(s):  
Makoto Sasaki ◽  
Takehiro Iwami ◽  
Kazuto Miyawaki ◽  
Ikuro Sato ◽  
Goro Obinata ◽  
...  

2014 ◽  
Vol 602-605 ◽  
pp. 416-419
Author(s):  
Zhuo Li ◽  
Meng Yang Zhao ◽  
Liang Zhou

Driving comfort is one of the most important indexes for automobile comfort evaluation. The joint torque calculation model of the lower limb in driving posture is established in the presented work firstly. The relationship between cab layout parameters and the joint torque can be obtained through dynamical simulation in the MATLAB by employing Kane method. A new method based on muscular forces is proposed to evaluate the automobile comfortableness. The force of each muscle can be obtained by employing static optimization algorithm of inverse dynamics. The impact of cab layout parameters , joint torque and the muscular forces on driving comfort and the relationship between them can be found through the analysis. As an reference, these parameters can be used to optimize the cab and offer an important support for its optimization.


2004 ◽  
Vol 40 (8) ◽  
pp. 783-790
Author(s):  
Shohei TANIGUCHI ◽  
Ryuta OZAWA ◽  
Ryota ISHIBASHI ◽  
Mitsunori UEMURA ◽  
Katsuya KANAOKA ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-20
Author(s):  
Michael Oluwatosin Ajayi ◽  
Karim Djouani ◽  
Yskandar Hamam

A bounded control strategy is employed for the rehabilitation and assistance of a patient with lower-limb disorder. Complete and partial lower-limb motor function disorders are considered. This application is centered on the knee and the ankle joint level, thereby considering a user in a sitting position. A high gain observer is used in the estimation of the angular position and angular velocities which is then applied to the estimation of the joint torques. The level of human contribution is feedback of a fraction of the estimated joint torque. This is utilised in order to meet the demands for a bounded human torque; that is, τh≤N2,n≤N1,n. The asymptotic stability of the bounded control law without human contribution and the convergence analysis of the high gain observer is verified using Lyapunov-based analysis. Simulations are performed to verify the proposed control law. Results obtained guarantee a fair trajectory tracking of the physiotherapist trajectory.


2016 ◽  
Vol 41 (12) ◽  
pp. 5111-5121 ◽  
Author(s):  
Feng Liang ◽  
Zhili Zhang ◽  
Xiangyang Li ◽  
Zhao Tong

2021 ◽  
Vol 11 (9) ◽  
pp. 3852
Author(s):  
Martin G. C. Lewis ◽  
Maurice R. Yeadon ◽  
Mark A. King

Subject-specific torque-driven computer simulation models employing single-joint torque generators have successfully simulated various sports movements with a key assumption that the maximal torque exerted at a joint is a function of the kinematics of that joint alone. This study investigates the effect on model accuracy of single-joint or two-joint torque generator representations within whole-body simulations of squat jumping and countermovement jumping. Two eight-segment forward dynamics subject-specific rigid body models with torque generators at five joints are constructed—the first model includes lower limb torques, calculated solely from single-joint torque generators, and the second model includes two-joint torque generators. Both models are used to produce matched simulations to a squat jump and a countermovement jump by varying activation timings to the torque generators in each model. The two-joint torque generator model of squat and countermovement jumps matched measured jump performances more closely (6% and 10% different, respectively) than the single-joint simulation model (10% and 24% different, respectively). Our results show that the two-joint model performed better for squat jumping and the upward phase of the countermovement jump by more closely matching faster joint velocities and achieving comparable amounts of lower limb joint extension. The submaximal descent phase of the countermovement jump was matched with similar accuracy by the two models (9% difference). In conclusion, a two-joint torque generator representation is likely to be more appropriate for simulating dynamic tasks requiring large joint torques and near-maximal joint velocities.


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