M. Olajide

Multimodal Sensing and Artificial Intelligence–Driven Data Fusion in Wearable Health Technologies, Advances, System Challenges, and Research Frontiers

The research offers a performance assessment and structural issues affecting reliability, including sensor diversity, dominance, noise, and intermittent data loss due to motion artifacts and dropouts, and explores multimodal fusion failure modes, demonstrating how asynchronous failure and partial observability can cause instability in multimodal representations.