nipdep / ZSL-ActivityMonitor

Zero-shot human activity recognition model for remote activity monitoring

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

ZeroShot-ActivityMonitor

Introduction

"Interpretable Zero-Shot Learning for Sensor-Based Human Activity Recognition," offers a comprehensive solution for accurately recognizing and interpreting human activities using sensor data. Our intuitive and user-friendly visualization dashboard allows users to analyze and interpret activity patterns effortlessly, leveraging state-of-the-art zero-shot learning techniques. Gain valuable insights into sensor-based human activity recognition, understand complex activity relationships, and unlock the power of interpretable AI for a deeper understanding of human behavior.

Installation

  1. Setup python virtual environment [$ run the command in the terminal under current folder dir] python -m venv venv
  2. Activate newly created python env venv/Scripts/activate
  3. Install main libraries pip install -r requirements.txt

Run Application

  1. Activate built python env. venv/Scripts/activate
  2. Run the application wave run app.app
  3. View Application at you browser http://localhost:10101/ *ctrl + c for shutdown the application

Functionalities

Home page

Activity Dashboard page

About

Zero-shot human activity recognition model for remote activity monitoring

License:MIT License


Languages

Language:Python 100.0%