GitHub repository: samyakjain3001/Human-Activity-Recognision-with-Smartphones
Primary language: Jupyter Notebook
Description: The Human Activity Recognition database was built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify activities into one of the six activities performed.