IEEE

A Real-Time Deployable Attention-Driven CNN–LSTM Framework for Human Activity Recognition Using Wearable Sensor

Abstract: Human activity recognition (HAR) using wearable inertial sensors is increasingly vital for healthcare, rehabilitation, and pervasive computing. Yet, many state-of-the-art (SoTA) models rely ...
IEEE

Human Activity Recognition and Prediction using LSTM and Transformer

Abstract: Human Activity Recognition (HAR) in AI plays a crucial role in enhancing the lives of individuals by providing health monitoring, safety, and assistance. The proposed work focuses on ...