This paper provides a comprehensive survey of the integration of FL into HAR applications, providing an in-depth analysis of recent advances and their practical implications, and explores key advances in FL-based HAR methodologies, including model architectures, optimization techniques, and different applications.
This paper provides a comprehensive survey of the integration of FL into HAR applications, providing an in-depth analysis of recent advances and their practical implications, and explores key advances in FL-based HAR methodologies, including model architectures, optimization techniques, and different applications.
This paper provides a comprehensive survey of the integration of FL into HAR applications, providing an in-depth analysis of recent advances and their practical implications, and explores key advances in FL-based HAR methodologies, including model architectures, optimization techniques, and different applications.
This paper provides a comprehensive survey of the integration of FL into HAR applications, providing an in-depth analysis of recent advances and their practical implications, and explores key advances in FL-based HAR methodologies, including model architectures, optimization techniques, and different applications.
This study reviews pre-2018 developments and proposes an improved HAR framework incorporating advanced feature engineering, sensor fusion, and ensemble learning techniques, which shows strong potential in healthcare, fitness, and smart environments.
Silvia Diallo, Fatima Zahra El Idrissi· International Journal of Mod...· 0 citations
This systematic review provides a comprehensive examination of the full spectrum of sensor modalities employed in HAR research spanning wearable inertial sensors, physiological sensors, vision-based sensors, depth cameras, ambient sensing systems, and emerging multimodal fusion frameworks tracing, technical characteris...
O. A. Ayegbusi, M. Onyesolu· Iconic research and engineer...· 0 citations
This paper presents a comprehensive review of TinyML for HAR, covering foundational concepts, methodologies, and applications, and critically examined the state of the art of existing works and approaches that combine TinyML and HAR.
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh et al.· Machine Learning and Knowled...· 0 citations
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