Basma Salim Bazel Albrge

An Efficient Deep Learning Method Based on a Hybrid LiDAR and Wearable Sensor Framework for Healthcare‐Oriented Human Activity Recognition

A hybrid LiDAR‐wearable sensor framework that combines spatial and motion data for accurate activity recognition and the integration of deep learning algorithm and the usage of LiDAR sensing together with wearable sensor data increases activity recognition systems' accuracy and reliability.