Sensor-based human activity recognition (HAR) has drawn extensive attention from the
research community due to its potential applications in various domains, including …

Human activity recognition has gained interest from the research community due to the
advancements in sensor technology and the improved machine learning algorithm …

Human activity recognition (HAR) is a classification problem involving time-dependent
signals produced by body monitoring, and its application domain covers all the aspects of …

Production orientated toward high-quality products makes the manufacturing process highly
accurate and precise with minimal variations in its parameters. Accurately identifying small …

Traditional indoor human activity recognition (HAR) has been defined as a time-series data
classification problem and requires feature extraction. The current indoor HAR systems still …

Abstract Human Action Recognition (HAR) is a fundamental challenge that smart
surveillance systems must overcome. With the rising affordability of capturing human actions …

Deep learning versus feature engineering has drawn significant attention specifically for
applications where expertly crafted features have been used for decades. Human activity …

This paper presents a comparison of conventional and modern machine (deep) learning
within the framework of anomaly detection in self-organizing networks. While deep learning …

Tennis has gained global popularity, prompting a surge in interest towards 3D video-based
tennis motion recognition. Early action recognition, which predates activity completion, is a …

Human activity recognition (HAR) remains a challenging problem in computer vision due to
the unpredictable nature of human activities. In recent years, researchers have proposed …