Upper limb physical rehabilitation using serious videogames and motion capture systems: A systematic review

AC Alarcón-Aldana, M Callejas-Cuervo, APL Bo - Sensors, 2020 - mdpi.com
The use of videogames and motion capture systems in rehabilitation contributes to the
recovery of the patient. This systematic review aimed to explore the works related to these …

Digital twin of an industrial workstation: A novel method of an auto-labeled data generator using virtual reality for human action recognition in the context of human …

M Dallel, V Havard, Y Dupuis, D Baudry - Engineering applications of …, 2023 - Elsevier
The recognition of human actions based on artificial intelligence methods to enable Human–
Robot Collaboration (HRC) inside working environments remains a challenge, especially …

An open-source and wearable system for measuring 3D human motion in real-time

P Slade, A Habib, JL Hicks… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Analyzing human motion is essential for diagnosing movement disorders and
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …

MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance

M Seong, G Kim, D Yeo, Y Kang, H Yang, J DelPreto… - Scientific Data, 2024 - nature.com
The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

Validation of the Perception Neuron system for full-body motion capture

CZY Choo, JY Chow, J Komar - PloS one, 2022 - journals.plos.org
Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as
a cost effective and portable alternative to traditional optoelectronic motion capture systems …

A comprehensive analysis of the validity and reliability of the perception neuron studio for upper-body motion capture

Y Wu, K Tao, Q Chen, Y Tian, L Sun - Sensors, 2022 - mdpi.com
The Perception Neuron Studio (PNS) is a cost-effective and widely used inertial motion
capture system. However, a comprehensive analysis of its upper-body motion capture …

Reliability and validity of an inertial measurement system to quantify lower extremity joint angle in functional movements

Z Shuai, A Dong, H Liu, Y Cui - Sensors, 2022 - mdpi.com
The purpose of this research was to determine if the commercially available Perception
Neuron motion capture system was valid and reliable in clinically relevant lower limb …

A human-cyber-physical system for Operator 5.0 smart risk assessment

A Simeone, R Grant, W Ye, A Caggiano - The International Journal of …, 2023 - Springer
In the context of Industry 5.0, characterized by the human-centred transformation of
manufacturing processes, assessing operator risk is crucial for ensuring workplace safety …

Measuring upper arm elevation using an inertial measurement unit: An exploration of sensor fusion algorithms and gyroscope models

H Chen, MC Schall Jr, NB Fethke - Applied ergonomics, 2020 - Elsevier
Many sensor fusion algorithms for analyzing human motion information collected with
inertial measurement units have been reported in the scientific literature. Selecting which …

Automatic clustering of proper working postures for phases of movement

JH Ryu, T McFarland, CT Haas… - Automation in …, 2022 - Elsevier
Expert workers are often unable to articulate or convey their 'physical wisdom'to apprentices,
as they tend to underestimate how difficult a task can be for apprentices. This can make it …