M. Sharma

An Explainable Risk-Calibrated Stacked-Ensemble Framework for Anticipatory Multimodal Fall Analytics in the Elderly Using Wearable IMU and IoMT Assistive-Stick Sensing

A new application-oriented multimodal fall analytics framework that utilizes two supplementary sets of data, namely, IMU-based wearable data to detect binary falls and smart cStick IoMT data to distinguish between no fall, fall predicted, and definite fall is introduced in the paper.