[HTML][HTML] Evaluating the efficacy of a passive exoskeleton for enhancing ergonomics in manufacturing

F Davoudi Kakhki, A Moghadam, A Nieto, H Vora - Applied Sciences, 2024 - mdpi.com
Featured Application This study explores the integration of an occupational passive back-
support exoskeleton in manufacturing, demonstrating its potential to reduce physical …

Industrial exoskeletons for secure human–robot interaction: a review

D Cheng, B Hu, Y Feng, X Song, Z Zhang… - International Journal of …, 2024 - Springer
Realizing secure human–robot interaction is a key aspect of Industry 5.0's “human-centric”.
As human involvement is essential for precise operations and wise decision-making in …

[HTML][HTML] A Recurrent Deep Network for Gait Phase Identification from EMG Signals During Exoskeleton-Assisted Walking

BMV Guerra, M Schmid, S Sozzi, S Pizzocaro… - Sensors, 2024 - mdpi.com
Lower limb exoskeletons represent a relevant tool for rehabilitating gait in patients with
lower limb movement disorders. Partial assistance exoskeletons adaptively provide the joint …

Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks

S Ryu, S Yun, S Lee, IC Jeong - Sensors, 2024 - mdpi.com
Various sensing modalities, including external and internal sensors, have been employed in
research on human activity recognition (HAR). Among these, internal sensors, particularly …

Human activity recognition using machine learning algorithms based on IMU data

NG Nia, E Kaplanoglu, A Nasab… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Enhancing Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU)
sensors has garnered significant attention in healthcare, particularly wearable devices. HAR …

A Neuromechanical Model-Based Strategy to Estimate the Operator's Payload in Industrial Lifting Tasks

E Feola, MIM Refai, D Costanzi… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
One of the main technological barriers hindering the development of active industrial
exoskeleton is today represented by the lack of suitable payload estimation algorithms …

Loading Recognition for Lumbar Exoskeleton Based on Multi-Channel Surface Electromyography from Low Back Muscles

N Jiang, L Wang, D Wang, P Fang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Lumbar exoskeleton is an assistive robot, which can reduce the risk of injury and pain in low
back muscles when lifting heavy objects. An important challenge it faces involves enhancing …

A Knowledge Transfer-based Personalized Human–Robot Interaction Control Method for Lower Limb Exoskeletons

M Yang, D Tian, F Li, Z Chen, Y Zhu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Accurate intent recognition by patients while wearing exoskeletons is crucial during their
rehabilitation exercises. In this article, a transfer learning framework for human-robot …

[PDF][PDF] A Review on Ergonomics Factors Determining Working in Harmony with Exoskeletons.

I Halim, MNI Mahadzir, Z Abdullah… - Malaysian Journal of …, 2023 - researchgate.net
Exoskeletons are wearable devices that can enhance human strength and are used in
various fields, such as healthcare and the manufacturing industry. However, poorly …

[HTML][HTML] 基于点云时空特征的超宽带雷达轻量化人体行为识别方法

宋永坤, 晏天兴, 张可, 刘显, 戴永鹏, 金添 - 雷达学报, 2024 - radars.ac.cn
低频超宽带(UWB) 雷达因其良好穿透性和分辨率, 在人体行为识别领域具有显著的优势.
针对现有的动作识别算法运算量大, 网络参数多的问题, 该文提出了一种基于时空点云的高效且 …