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 …
Y Li, W Dai, Y He - Computers & Industrial Engineering, 2024 - Elsevier
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 …
SK Ghosh, BR Mohan, RMR Guddeti - Multimedia Tools and Applications, 2023 - Springer
Abstract Human Action Recognition (HAR) is a fundamental challenge that smart surveillance systems must overcome. With the rising affordability of capturing human actions …
R Kanjilal, I Uysal - Journal of Biomedical Informatics, 2022 - Elsevier
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 …
X Sun, Y Wang, J Khan - Soft Computing, 2023 - Springer
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 …
MF Ahmed, G He, S Wang - Signal, Image and Video Processing, 2024 - Springer
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 …