Activity recognition is the process of continuously monitoring a person's activity and
movement. Human posture recognition can be utilized to assemble a self-guidance practice …

Human Activity Recognition (HAR) has been studied extensively, yet current approaches are
not capable of generalizing across different domains (ie, subjects, devices, or datasets) with …

Abstract Edge-AI uses Artificial Intelligence algorithms directly embedded on a device,
contrary to a remote AI that uses an AI on a cloud or remote server for prediction. Recent …

We present a wearable system to detect body postures and gestures that does not require
sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing …

Abstract Convolutional Neural Networks (CNNs) are gaining significant attention in
applications related to coupled flow and transfer processes in porous media, especially …

The camera is the main sensor of vison-based human activity recognition, and its high-
precision calibration of distortion is an important prerequisite of the task. Current studies …

Driving behavior is an important aspect of maintaining and sustaining safe transport on the
roads. It also directly affects fuel consumption, traffic flow, public health, and air pollution …

This paper describes the implementation of real time human activity recognition systems in
public areas. The objective of the study is to develop an alarm system to identify people who …

We present a novel intelligent garment design approach for body posture/gesture detection
in the form of a loose-fitting blazer prototype,“the MoCaBlazer.” The design is realized by …

Abstract Human Activity Recognition (HAR) covers methods for automatically identifying
human activities from a stream of data. End‐users of HAR methods cover a range of sectors …