Computer vision is becoming an increasingly trendy word in the area of image processing.
With the emergence of computer vision applications, there is a significant demand to …

Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

Sitting posture recognition is essential in preventing work-related musculoskeletal disorders
(WMSDs). WMSDs are of huge concern for office workers whose working process is …

Action recognition (AR) has many applications, including surveillance, health/disabilities
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …

Existing heating, ventilation, and air-conditioning systems have difficulties in considering
occupants' dynamic thermal needs, thus resulting in overheating or overcooling with huge …

The need for improved quality control in industry makes object detection crucial. This work
addresses the challenging problem of subsurface defect detections using a combination of …

Given the aging population, healthcare systems need to be established to deal with health
issues such as injurious falls. Wearable devices can be used to detect falls. However, most …