Enhancing Gait Recognition with a CNN-RF Approach: Focus on Single and Double Support Phases
D Kumar, R Verma - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Gait recognition has been the subject of much research, and deep learning techniques have
supported this field of study. This research uses Random Forest (RF) and Convolutional …
supported this field of study. This research uses Random Forest (RF) and Convolutional …
A robust technique for optimal fitting of roll-over shapes of human locomotor systems
The roll-over shape (ROS) effectively characterizes the lower limb's ability to roll forward
during the single-limb support phase of human walking. ROS is modelled as an optimally …
during the single-limb support phase of human walking. ROS is modelled as an optimally …
[HTML][HTML] Segmental contributions to the center of mass movement in normal gait
Abstract Saunders et al.(1953) provided a qualitative description of the contributions to the
center-of-mass (CoM) movement. The objective of this work is to analytically quantify and …
center-of-mass (CoM) movement. The objective of this work is to analytically quantify and …
[CARTE][B] Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen
UJ Römer - 2019 - books.google.com
The influence of foot geometry on energy efficiency in bipedal walking is investigated. A
method for the optimization of the foot geometry of a bipedal robot is developed. It is based …
method for the optimization of the foot geometry of a bipedal robot is developed. It is based …
Minimal Kinematic Model for Inverse Dynamic Analysis of Gait
The objective of this work is to develop an inverse dynamics model that uses minimal
kinematic inputs to estimate the ground reaction force (GRF). The human body is modeled …
kinematic inputs to estimate the ground reaction force (GRF). The human body is modeled …
[CITARE][C] CERCETĂRI PRIVIND OPTIMIZAREA PERFORMANŢELOR CUPĂ-PROTEZĂ-BONT CU CONSIDERAREA ASPECTELOR TRIBOLOGICE
F FÜLÖP-RÓBERT