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 …

As polymer networks infiltrated with water, hydrogels constitute the major components of the
human body; and hydrogels have been widely used in applications that closely interact with …

Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …

We propose a one-dimensional (1D) Convolutional Neural Network (CNN)-based method
for recognizing human activity using triaxial accelerometer data collected from users' …

Human physical activity recognition based on wearable sensors has applications relevant to
our daily life such as healthcare. How to achieve high recognition accuracy with low …

This paper describes how to recognize certain types of human physical activities using
acceleration data generated by a user's cell phone. We propose a recognition system in …

Recently, deep learning, which are able to extract automatically features from data, has
achieved state-of-the-art performance across a variety of sensor based human activity …

Recently, convolutional neural networks (CNNs) have set latest state-of-the-art on various
human activity recognition (HAR) datasets. However, deep CNNs often require more …

Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …