Sensors play a crucial role in factory automation in making the system intellectual. Different
types of sensors are available as per the suitability and applications; some of them are …

Smart living, a concept that has gained increasing attention in recent years, revolves around
integrating advanced technologies in homes and cities to enhance the quality of life for …

Human activity recognition (HAR) tasks have traditionally been solved using engineered
features obtained by heuristic processes. Current research suggests that deep convolutional …

Recently, deep learning (DL) methods have been introduced very successfully into human
activity recognition (HAR) scenarios in ubiquitous and wearable computing. Especially the …

There has been an upsurge recently in investigating machine learning techniques for activity
recognition (AR) problems as they have been very effective in extracting and learning …

Sensor-based human activity recognition is a fundamental research problem in ubiquitous
computing, which uses the rich sensing data from multimodal embedded sensors such as …

The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …

There is a growing interest on using ambient and wearable sensors for human activity
recognition, fostered by several application domains and wider availability of sensing …

Understanding the state, behavior, and surrounding context of construction workers is
essential to effective project management and control. Exploiting the integrated sensors of …