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Explaining the Ergonomic Assessment of Human Movement in Industrial Contexts

Sara Santos, Duarte Folgado, João Rodrigues, Nafiseh Mollaei, Carlos Fujão, Hugo Gamboa
2020 Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies  
Three main contributions were presented: (1) an upper limb and torso motion tracking algorithm which relies on inertial sensors to estimate the orientation of anatomical joints; (2) an adjusted ergonomic  ...  Through direct measures, the ergonomic feedback is fastened, and consequently, the evaluation can be extended to more operators, ultimately preventing, in long-term, work-related injuries.  ...  Comparison of different sensor fusion methods.  ... 
doi:10.5220/0008953800790088 dblp:conf/biostec/SantosFRMFG20 fatcat:574z3wczwbfzbkxbhlxnj26644

Methods of posture analysis for computer workers

Sara Maheronnaghsh, Joana Santos, M. Vaz
2018 International Journal of Occupational and Environmental Safety  
A review on different approaches for computer workers posture was accomplished and noted that the simultaneous utilization of the different methods allows achieving better posture analysis, compared to  ...  The aim of this study is to review systematically the relevant literature on applicable posture analysis methods to computer workers.  ...  Direct methods, which are based on direct collection of data from sensors attached to the worker's body, are difficult to implement in real work situations.  ... 
doi:10.24840/2184-0954_002.002_0005 fatcat:yjsx77irfndc7afhtwq57o2suy

Exploring Risk of Falls and Dynamic Unbalance in Cerebellar Ataxia by Inertial Sensor Assessment

Pietro Caliandro, Carmela Conte, Chiara Iacovelli, Antonella Tatarelli, Stefano Filippo Castiglia, Giuseppe Reale, Mariano Serrao
2019 Sensors  
We acquired data by means of an inertial sensor attached to an ergonomic belt around pelvis, which was connected to a portable computer via Bluetooth.  ...  We investigated whether and how wearable inertial sensors can describe the gait kinematic features among ataxic patients. Methods. We enrolled 17 patients and 16 matched control subjects.  ...  Acknowledgments: Thanks to Matteo Gratta for language editing. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19245571 pmid:31861099 pmcid:PMC6960492 fatcat:p5ftgyv4y5egzjychyzq33drjy

Emerging Ergonomics Issues and Opportunities in Mining

Patrick G Dempsey, Lydia M Kocher, Mahiyar F Nasarwanji, Jonisha P Pollard, Ashley E Whitson
2018 International Journal of Environmental Research and Public Health  
Ergonomics is the scientific discipline that investigates the interactions between humans and systems to optimize both human and system performance for worker safety, health, and productivity.  ...  This manuscript explores several such emerging issues and opportunities in the context of the mining sector.  ...  for Disease Control and Prevention.  ... 
doi:10.3390/ijerph15112449 pmid:30400296 fatcat:gw6dcg3zwfba5e7zfhhqbd3bau

Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Sujee Lee, Li Liu, Robert Radwin, Jingshan Li
2021 IEEE Robotics and Automation Letters  
ergonomics, and manufacturing systems perspectives.  ...  The rapid development of machine learning (ML) technology has introduced substantial impact on ergonomics research in manufacturing.  ...  Thus, an operator model for ergonomics risk can be studied from the perspectives of physical activity assessment (through sensor-based and video data) and risk stratification, mental workload evaluation  ... 
doi:10.1109/lra.2021.3084881 fatcat:hqdsvn3v7vcepfv5orvqlp57lu

EMG Characterization and Processing in Production Engineering

Manuel del Olmo, Rosario Domingo
2020 Materials  
The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues.  ...  [93] Ergonomics Exoskeletons Passive exoskeleton for load lifting assessment. [94] Ergonomics Exoskeletons Active exoskeleton for load lifting assessment.  ...  Wearable technology based in EMG complement and improve traditional ergonomic assessment methods.  ... 
doi:10.3390/ma13245815 pmid:33419283 fatcat:pf3ja333qrd4zbcuczihag56qy

A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates

Hongyu Chen, Mengru Xue, Zhenning Mei, Sidarto Bambang Oetomo, Wei Chen
2016 Sensors  
Sensors 2016, 16, 2134 2 of 17 we explore technologies that can monitor body movements and identify abnormal movements without unnecessarily sacrificing the degree of comfort.  ...  The authors searched for literature published after 2010 using a systematic review method. Since then the related work started to emerge. In Section 2, we introduce the search method.  ...  Among them, inertial sensors are being used in a wide range of medical applications for movement assessment, seizure alarms, and other scenarios where early intervention is needed.  ... 
doi:10.3390/s16122134 pmid:27983664 pmcid:PMC5191114 fatcat:2gwx3p4nc5gqjoyfkt74gastai

Wearable technology for biomechanics: e-textile or micromechanical sensors? [Conversations in BME]

Peter Veltink, Danilo De Rossi
2010 IEEE Engineering in Medicine and Biology Magazine  
sensor fusion.  ...  yet explored.  ... 
doi:10.1109/memb.2010.936555 pmid:20659856 fatcat:3kvwo4g7qjbnpaixdq7bmvfimu

Smart Device Monitoring System Based on Multi-type Inertial Sensor Machine Learning

Yingqi Zeng, Chen Wang, Chih-Cheng Chen, Wang-Ping Xiong, Zhen Liu, Yu-Chun Huang, Chaochao Shen
2021 Sensors and materials  
Construction activity recognition can be improved using data fusion from multiple inertial sensors such as accelerometers and gyroscopes, yet the number of accelerometers and gyroscopes and their optimal  ...  placement for combination need empirical determination.  ...  (8) With the advent of inertial sensors and their advantages, different research directions have been explored for human activity recognition, leading to a large number of applications and innovative  ... 
doi:10.18494/sam.2021.3037 fatcat:3rx4wdlaxbc3dchdyiyti2wyme

Forces: A Motion Capture-Based Ergonomic Method for the Today's World

Javier Marín, José J. Marín
2021 Sensors  
This method calculates the joint risks for each posture and provides the total risk for the assessed workstation.  ...  Nevertheless, today's context demonstrates that traditional ergonomic methods should lead to smart ergonomic methods.  ...  Sensors 2021, 21, 5139  ... 
doi:10.3390/s21155139 fatcat:dpp725kpjbhozgonyucln5l5oi

Inertial Measures of Motion for Clinical Biomechanics: Comparative Assessment of Accuracy under Controlled Conditions - Effect of Velocity

Karina Lebel, Patrick Boissy, Mathieu Hamel, Christian Duval, David Carrier
2013 PLoS ONE  
Methods: The criterion validity of accuracy was established under controlled conditions using an instrumented Gimbal table.  ...  Conclusions: Existing AHRS systems can be considered for use in clinical biomechanics under constrained conditions of use.  ...  Acknowledgments The authors would like to acknowledge the contributions of Antoine Guillerand for his help on the Gimbal table and the Optotrak system during the  ... 
doi:10.1371/journal.pone.0079945 pmid:24260324 pmcid:PMC3833942 fatcat:y5s2nm4kwbajlo6sb4lwkmloaq

Wearable Sensors in Sports for Persons with Disability: A Systematic Review

Lorenzo Rum, Oscar Sten, Eleonora Vendrame, Valeria Belluscio, Valentina Camomilla, Giuseppe Vannozzi, Luigi Truppa, Marco Notarantonio, Tommaso Sciarra, Aldo Lazich, Andrea Mannini, Elena Bergamini
2021 Sensors  
Inertial and EMG sensors were the most commonly adopted wearable technologies, while wheelchair sports were the most investigated.  ...  Several gaps in the different target applications are highlighted altogether with recommendation on future directions.  ...  It can measure linear acceleration in a given direction and, when in quasi-static conditions, assess sensor inclination with respect to gravity.  ... 
doi:10.3390/s21051858 pmid:33799941 pmcid:PMC7961424 fatcat:wz2ujqtldrbgzepu4wn4njii74

Motion Capture Technology in Industrial Applications: A Systematic Review

Matteo Menolotto, Dimitrios-Sokratis Komaris, Salvatore Tedesco, Brendan O'Flynn, Michael Walsh
2020 Sensors  
Inertial sensors were the first choice for industrial MoCap applications.  ...  Studies were categorized based on type of used sensors, beneficiary industry sector, and type of application. Study characteristics, key methods and findings were also summarized.  ...  Yet, the reviewed works generally outlined the capacity of MoCap sensors in conjunction with machine learning solutions to provide solutions for activity recognition, tool inspection and ergonomic assessment  ... 
doi:10.3390/s20195687 pmid:33028042 pmcid:PMC7583783 fatcat:h6vr7vv7efbwlfn3ftkfecwg2e

Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature

Rachel Cohen, Geoff Fernie, Atena Roshan Fekr
2021 Nutrients  
It was observed that the most promising results came from studies that used data fusion from multiple technologies, compared to using an individual technology.  ...  The available technologies are divided into four categories: wearables, surfaces with embedded sensors, vision- and environmental-based solutions, and smart containers.  ...  The selected sensor must be ergonomic so the user does not drop and break it [95] . Inertial Inertial methods used accelerometers and gyroscopes to determine the orientation of the bottle.  ... 
doi:10.3390/nu13062092 pmid:34205234 pmcid:PMC8233832 fatcat:o7qevnqskja7jevrkaj26qpuqu

On using human activity recognition sensors to improve the performance of collaborative mobile manipulators: Review and outlook

Aswin K Ramasubramanian, Syed M. Aiman, Nikolaos Papakostas
2021 Procedia CIRP  
This paper reviews the technologies that can be used for activity tracking together with gait recognition as a biometric tool.  ...  The goal is to develop a sense of safety and trust between the human and the manipulator in order to improve the ergonomics of the operator within the collaborative workspace.  ...  Acknowledgments This paper has been partially supported by the H2020 Project SHERLOCK -"Seamless and safe human centred robotic applications for novel collaborative workplaces", under research Grant Agreement  ... 
doi:10.1016/j.procir.2020.05.227 fatcat:v7y5vegvfbgzbkvaohihbbznvu
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