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Dynamic Gait Modelling of Lower Limb Dynamics : A Mathematical Approach
Robotics · Submitted 15 Oct 2023
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim This paper focuses on the analysis of human gait cycle dynamics and presents a mathematical model to determine the torque exerted on the lower limb joints throughout the complete gait cycle, including its various phases.
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The abstract, sentence by sentence
This paper focuses on the analysis of human gait cycle dynamics and presents a mathematical model to determine the torque exerted on the lower limb joints throughout the complete gait cycle, including its various phases. The study involved a healthy subject who participated in a series of initial walking experiments. The development of a mathematical model that accurately represents the natural motion of the human lower limb has garnered significant attention in the field of lower limb prosthetics design. In this study, the researchers incorporated the functional relationship between the limb joints and the end effector of the lower extremity. This knowledge is crucial for rehabilitation purposes as it helps in understanding the connectivity of joints, links, and the overall body orientation required to effectively control the motion of the actuators. When analysing physical activities, measurements of human strength play a crucial role. Traditionally, these measurements have focused on determining the maximum voluntary torque at a single joint angle and angular velocity. However, it is important to consider that the available strength varies significantly with joint position and velocity.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | This paper focuses on the analysis of human gait cycle dynamics and presents a mathematical model to determine the torque exerted on the lower limb joints throughout the complete gait cycle, including its various phases. | contribution 1.00 | 0.90 | 0.16 | asserted 1.00 |
| s1 | The study involved a healthy subject who participated in a series of initial walking experiments. | method 0.99 | 0.87 | 0.02 | asserted 0.99 |
| s2 | The development of a mathematical model that accurately represents the natural motion of the human lower limb has garnered significant attention in the field of lower limb prosthetics design. | background 1.00 | 0.06 | 0.04 | asserted 1.00 |
| s3 | In this study, the researchers incorporated the functional relationship between the limb joints and the end effector of the lower extremity. | method 0.74 | 0.86 | 0.04 | asserted 0.99 |
| s4 | This knowledge is crucial for rehabilitation purposes as it helps in understanding the connectivity of joints, links, and the overall body orientation required to effectively control the motion of the actuators. | interpretation 0.50 | 0.12 | 0.07 | asserted 0.99 |
| s5 | When analysing physical activities, measurements of human strength play a crucial role. | background 1.00 | 0.08 | 0.02 | asserted 1.00 |
| s6 | Traditionally, these measurements have focused on determining the maximum voluntary torque at a single joint angle and angular velocity. | background 0.98 | 0.05 | 0.02 | asserted 1.00 |
| s7 | However, it is important to consider that the available strength varies significantly with joint position and velocity. | background 0.59 | 0.09 | 0.04 | asserted 0.96 |
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The paper
Original abstract
This paper focuses on the analysis of human gait cycle dynamics and presents a mathematical model to determine the torque exerted on the lower limb joints throughout the complete gait cycle, including its various phases. The study involved a healthy subject who participated in a series of initial walking experiments. The development of a mathematical model that accurately represents the natural motion of the human lower limb has garnered significant attention in the field of lower limb prosthetics design. In this study, the researchers incorporated the functional relationship between the limb joints and the end effector of the lower extremity. This knowledge is crucial for rehabilitation purposes as it helps in understanding the connectivity of joints, links, and the overall body orientation required to effectively control the motion of the actuators. When analysing physical activities, measurements of human strength play a crucial role. Traditionally, these measurements have focused on determining the maximum voluntary torque at a single joint angle and angular velocity. However, it is important to consider that the available strength varies significantly with joint position and velocity.
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