The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

Deep neural networks, including convolutional neural networks (CNNs), have been widely
adopted for human activity recognition in recent years. They have attained significant …

In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …

This study aims to investigate the performance of Machine Learning (ML) techniques used in
Human Activity Recognition (HAR). Techniques considered are Naïve Bayes, Support …

In recent years, mainly due to the application of smartphones in this area, research in human
activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide …

Recognition of human actions from visual contents is a budding field of computer vision and
image understanding. The problem with such a recognition system is the huge dimensions …

Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the
scientific community. Given the low cost, ease of use and high accuracy of the sensors from …

Abstract Human Activity Recognition (HAR) has emerged as a major player in this era of
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …

The validity of results in race walking is often questioned due to subjective decisions in the
detection of faults. This study aims to compare machine-learning algorithms fed with data …