Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

To effectively fuse speech and visual features, this letter proposes a multi-modal emotion
recognition method by fusing correlation features of speech-visual. Firstly, speech and visual …

Work-related musculoskeletal disorders (WMSDs) are serious workplace injuries that put
workers' safety at risk. However, traditional WMSD assessments are based on the human …

Vibration signals play a key role in machinery fault diagnosis, which are often buried by
strong noises due to complex working conditions. Typical deep neural networks (eg …

A car driver knows how to react on the gestures of the traffic officers. Clearly, this is not the
case for the autonomous vehicle, unless it has road traffic control gesture recognition …

Construction workers are at high risk of work-related musculoskeletal disorders (WMSDs).
Although the existing observational assessment methods are easy to use, when it comes to …

To effectively comprehend human actions, we have developed a Deep Neural Network
(DNN) that utilizes inner spatiotemporal non-locality to capture meaningful semantic context …

Determining the potential risks of musculoskeletal disorders through working postures in a
workplace is expensive and time-consuming. A novel intelligent rapid entire body …