Neural networks are prone to overfitting and memorizing data patterns. To avoid over-fitting
and enhance their generalization and performance, various methods have been suggested …

Abstract Human Activity Recognition (HAR) is a highly promising research area meant to
automatically identify and interpret human behaviour using data received from sensors in …

Abstract Human–Object Interaction (HOI) detection is a crucial problem for comprehensive
visual understanding, which aims to detect< human, action, object> triplets within an image …

Although device-free human activity recognition (HAR) has been among the commonly
investigated HAR methods in the past few years, a neglected topic in this field is the sensor …

Driver distraction recognition is an essential computer vision task that can play a key role in
increasing traffic safety and reducing traffic accidents. In this paper, we propose a temporal …

Different from image-based 3D pose estimation, video-based 3D pose estimation gains
performance improvement with temporal information. However, these methods still face the …

Foreground object segmentation that captures the spatial and temporal information of
moving objects in video is the most fundamental task for activity understanding in many …

Fig. 3. End-to-end approach to Human-object interaction and analyze actions and items
manipulated by operators to calculate important metrics such as cycle time and total waste …

Work measurement is a critical aspect of industrial engineering, where various methods are
employed to analyze work and optimize productivity. One of the primary tools used by …