Staircase recognition is of great significance for exoskeleton robot mode switching and
mobile robot foothold calculation, which can improve the overall performance of the robot in …

Gait analysis across different individuals presents significant challenges due to individual
variability. In this study, we developed a gait analysis system to enable continuous decoding …

This article presents the design of a control algorithm based on Artificial Neural Networks
(ANNs) applied to a lower-limb exoskeleton, which is aimed to carry out walking trajectories …

Gait phase recognition is of great importance in the development of rehabilitation devices.
The advantages of Long Short-Term Memory (LSTM) and Convolutional Neural Network …

Assisting human locomotion in various gait patterns is one of the challenges in the
interaction between human and lower limb exoskeleton. In this paper, we propose the graph …

Gait recognition is significant in the fields of disease diagnosis and rehabilitation training by
studying the characteristics of human gait with different terrain. To address the problem that …

Accurate gait phase recognition is crucial for real-time analysis and intervention in
rehabilitation, biomechanics, and prosthetics. However, achieving this is challenging due to …

Human gait is a key biomarker for health, independence and quality of life. Advances in
wearable inertial sensor technologies have paved the way for out-of-the-lab human gait …

The use of mobile devices has contributed greatly to the expansion of Human Activity
Recognition (HAR) studies in recent years. Researchers find it attractive because of its …

To address the shortcomings of light detection and ranging (LiDAR) sensors in extracting
road surface elevation information in front of a vehicle, a scheme for digital terrain …