A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices

Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in various fields, such as healthcare, surveillance, education, entertainment. The proposed model is deployed on edge devices like Raspberry Pi3.