Advanced signal processing and deep learning algorithms for wearable IMU-based fall prediction: noise mitigation paradigms and future perspectives
Abnormal gait analysis and fall prediction using wearable inertial measurement units and deep learning are vital for smart elderly care and proactive health management. Despite achieving over 95% accuracy in controlled settings, data-driven models suffer severe performance degradation in real-world applications due to...