[HTML][HTML] IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition
Inadequate training poses a significant risk of injury among young firefighters. Although
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …
Comprehensive analysis of feature‐algorithm interactions for fall detection across age groups via machine learning
E Kavuncuoğlu - Computational Intelligence, 2024 - Wiley Online Library
Fall detection in daily activities hinges on both feature selection and algorithm choice. This
study delves into their intricate interplay using the Sisfall dataset, testing 10 machine …
study delves into their intricate interplay using the Sisfall dataset, testing 10 machine …
Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study
E Kavuncuoğlu, AT Özdemir… - Multimedia Tools and …, 2024 - Springer
Activity recognition is a fundamental concept widely embraced within the realm of
healthcare. Leveraging sensor fusion techniques, particularly involving accelerometers (A) …
healthcare. Leveraging sensor fusion techniques, particularly involving accelerometers (A) …
Exploring the performance of PySpark and Scikit-Learn libraries in developing fall detection systems
E Kavuncuoglu - Niğde Ömer Halisdemir Üniversitesi Mühendislik …, 2024 - dergipark.org.tr
Falls pose a significant risk, often resulting in serious injuries and reduced quality of life for
the elderly population. Accurate and effective fall detection systems can play an important …
the elderly population. Accurate and effective fall detection systems can play an important …