Human Activity Detection with TensorFlow and Python.
This repository consists of the project named "Robust human action detection and acquisition" done by our team. This project aims to recognize and alert to any unusual activity in secured area along with keeping the track id for the person doing the unusual things.
This project performs classification of human activities (e.g., walking, sitting, standing) based on smartphone sensor data using machine learning models. The dataset consists of preprocessed accelerometer and gyroscope readings from 30 participants.
All of the data and code required to replicate our Remote Sensing Applications: Society and Environment paper
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