Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges

F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

Human reliability modeling in occupational environments toward a safe and productive operator 4.0

SK Kheiri, Z Vahedi, H Sun, FM Megahed… - International Journal of …, 2023 - Elsevier
Many occupational environments require labor intensive activities, which could result in
fatigue and injuries and cause decreased work performance. Recently, the breakthroughs of …

Automatic ergonomic risk assessment using a variational deep network architecture

T Chatzis, D Konstantinidis, K Dimitropoulos - Sensors, 2022 - mdpi.com
Ergonomic risk assessment is vital for identifying work-related human postures that can be
detrimental to the health of a worker. Traditionally, ergonomic risks are reported by human …

A Bibliometrics-Based systematic review of safety risk assessment for IBS hoisting construction

Y Junjia, AH Alias, NA Haron, N Abu Bakar - Buildings, 2023 - mdpi.com
Construction faces many safety accidents with urbanization, particularly in hoisting.
However, there is a lack of systematic review studies in this area. This paper explored the …

Wearable technology for smart manufacturing in industry 5.0

T Nguyen, KD Tran, A Raza, QT Nguyen… - Artificial Intelligence for …, 2023 - Springer
The innovation of wearable Internet of Things devices has fuelled the transition from Industry
4.0 to Industry 5.0. Increasing resource efficiency, safety, and economic efficiency are some …

The relationship between ratings of perceived exertion (RPE) and relative strength for a fatiguing dynamic upper extremity task: A consideration of multiple cycles and …

Z Vahedi, S Kazemi Kheiri, S Hajifar… - … of occupational and …, 2023 - Taylor & Francis
The goal of this study was to evaluate the relationship between ratings of perceived exertion
(RPE) and relative strength with respect to baseline for a fatiguing free dynamic task …

Wearable Sensor Data Classification for Identifying Missing Transmission Sequence Using Tree Learning

KB Gurumoorthy, AS Rajasekaran, K Kalirajan… - Sensors, 2023 - mdpi.com
Wearable Sensor (WS) data accumulation and transmission are vital in analyzing the health
status of patients and elderly people remotely. Through specific time intervals, the …

Transparency as a Means to Analyse the Impact of Inertial Sensors on Users during the Occupational Ergonomic Assessment: A Systematic Review

MA García-Luna, D Ruiz-Fernández… - Sensors, 2024 - mdpi.com
The literature has yielded promising data over the past decade regarding the use of inertial
sensors for the analysis of occupational ergonomics. However, despite their significant …

Development of a Platform to Assess the Risk of Musculoskeletal Disorders in Manual Load Handling Activities-Preliminary Results

P Aqueveque, M Gutierrez, G Retamal… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Risk identification on workstations is a crucial step to prevent the occurrence of
musculoskeletal disorders (MSD) in workers. The available methods and tools used by …

Automatic Platform for Upper Extremity Musculoskeletal Disorder Risks Estimation from Repetitive Actions-Preliminary results.

P Aqueveque, M Gutiérrez, G Peña… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Work-related musculoskeletal disorders is a major problem for worker's health when dealing
with repetitive tasks. The Occupational Repetitive Actions Index (OCRA) is one of the most …