Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
[HTML][HTML] Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution
The digital transition is transforming society in general and industry in particular, so much so
that the concept of Industry 4.0 is by now widespread and consolidated. However, there is …
that the concept of Industry 4.0 is by now widespread and consolidated. However, there is …
Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Automated workers' ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning
SE Mudiyanselage, PHD Nguyen, MS Rajabi… - Electronics, 2021 - mdpi.com
Manual material handling tasks have the potential to be highly unsafe from an ergonomic
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
Artificial intelligence enabled project management: a systematic literature review
In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies
such as artificial intelligence for more efficient and green human-centric production. In a …
such as artificial intelligence for more efficient and green human-centric production. In a …
A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
Structural supports (eg, concrete and steel) provide engineering structures with stability by
transferring loads. During the construction of an engineering structure, individuals are often …
transferring loads. During the construction of an engineering structure, individuals are often …
Automated methods for activity recognition of construction workers and equipment: State-of-the-art review
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …
Performance monitoring of these resources would help project managers improve the …
Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology
In the construction industry, the operator's mental fatigue is one of the most important causes
of construction equipment-related accidents. Mental fatigue can easily lead to poor …
of construction equipment-related accidents. Mental fatigue can easily lead to poor …
EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications
Abstract Human Activity Recognition (HAR) can be defined as the automatic prediction of the
regular human activities performed in our day-to-day life, such as walking, running, cooking …
regular human activities performed in our day-to-day life, such as walking, running, cooking …
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
Construction worker activity recognition is essential for worker performance and safety
assessment. With the development of wearable sensing technologies, many researchers …
assessment. With the development of wearable sensing technologies, many researchers …