One of the aims of the 4th industrial revolution is to seamlessly connect equipment and
personnel to enable a greater level of collaboration, which in turn will result in higher …

Unlike human daily activities, existing publicly available sensor datasets for work activity
recognition in industrial domains are limited by difficulties in collecting realistic data as close …

The analysis of functional upper extremity (UE) movement kinematics has implications
across domains such as rehabilitation and evaluating job-related skills. Using movement …

Artificial intelligence has been adopted to facilitate monitoring, operation, and decision in the
logistics field. Logistics robots with environment perception capability have been used to …

Smartphones are increasing ubiquitously due to the need and demand in the modern era.
The world is transmuting into a global village with the cumulation of smart devices …

Smart devices, such as smartphones, smartwatches, etc., are examples of promising
platforms for automatic recognition of human activities. However, it is difficult to accurately …

With the advancement of ubiquitous computing, smartphone sensors are generating a vast
amount of unlabeled data streams ubiquitously. This sensor data can potentially help to …

Deep Learning (DL)-based visual analytic systems have demonstrated substantial potential
in enhancing construction management. Yet, these systems should go beyond merely …

Abstract Human Activity Recognition (HAR) using smartphone sensors has been identified
as a significant emerging research domain. Its application areas exhibit the performance …

Human-technology collaboration relies on verbal and non-verbal communication. Machines
must be able to detect and understand the movements of humans to facilitate non-verbal …