Applying deep neural networks and inertial measurement unit in recognizing irregular walking differences in the real world

B Hu, S Li, Y Chen, R Kavi, S Coppola - Applied Ergonomics, 2021 - Elsevier
Falling injuries pose serious health risks to people of all ages, and knowing the extent of
exposure to irregular surfaces will increase the ability to measure fall risk. Current gait …

[HTML][HTML] Effects of load mass and position on the dynamic loading of the knees, shoulders and lumbar spine during lifting: a musculoskeletal modelling approach

S Skals, R Bláfoss, M de Zee, LL Andersen… - Applied Ergonomics, 2021 - Elsevier
Musculoskeletal models may enhance our understanding of the dynamic loading of the
joints during manual material handling. This study used state-of-the-art musculoskeletal …

Sharing the load: modeling loads in OpenSim to simulate two-handed lifting

M Akhavanfar, TK Uchida, AL Clouthier… - Multibody System …, 2022 - Springer
Static Optimization (SO) procedures are commonly used to estimate muscle forces and joint
loads from kinematics and external force data. The method of modeling hand–mass …

Inertial motion capture-based estimation of L5/S1 moments during manual materials handling

A Muller, H Mecheri, P Corbeil, A Plamondon… - Sensors, 2022 - mdpi.com
Inertial motion capture (IMC) has gained popularity in conducting ergonomic studies in the
workplace. Because of the need to measure contact forces, most of these in situ studies are …

Stochastic-biomechanic modeling and recognition of human movement primitives, in industry, using wearables

BE Olivas-Padilla, S Manitsaris, D Menychtas… - Sensors, 2021 - mdpi.com
In industry, ergonomists apply heuristic methods to determine workers' exposure to
ergonomic risks; however, current methods are limited to evaluating postures or measuring …

Real-time musculoskeletal kinematics and dynamics analysis using marker-and IMU-based solutions in rehabilitation

D Stanev, K Filip, D Bitzas, S Zouras, G Giarmatzis… - Sensors, 2021 - mdpi.com
This study aims to explore the possibility of estimating a multitude of kinematic and dynamic
quantities using subject-specific musculoskeletal models in real-time. The framework was …

[HTML][HTML] An attention-based CNN for automatic whole-body postural assessment

Z Ding, W Li, J Yang, P Ogunbona, L Qin - Expert Systems with Applications, 2024 - Elsevier
Fully automatic postural assessment is highly useful, but has been challenging.
Conventional methods either require manual assessment by ergonomists or depend on …

Analisis postur kerja manual material handling menggunakan biomekanika dan NIOSH

KT Sanjaya, NH Wirawan… - JATI UNIK: Jurnal Ilmiah …, 2018 - ojs.unik-kediri.ac.id
Work or activity is one of human activity that can not be avoided anymore. One such activity
is the transfer of goods, the process of moving goods occurs both in the company and …

Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions

E Dorschky, M Nitschke, M Mayer, I Weygers… - bioRxiv, 2023 - biorxiv.org
A sensor setup with a small number of sensors, ie, a sparse sensor setup, could enable a
comprehensive unobtrusive motion analysis using inertial motion capture (IMC) with little …

Calibrationless monocular vision musculoskeletal simulation during gait

R Ueno - Heliyon, 2024 - cell.com
With computer vision technology and prediction of ground reaction forces (GRF), a previous
study performed markerless motion capture and musculoskeletal simulation with two …