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Physical Activity Learning Management System
 Using Image Processing For Assessment.

The Physical Activity Learning Management System (PALMS) is a cutting-edge digital platform designed to revolutionize physical education by integrating image processing and machine learning. Unlike traditional methods that rely heavily on manual grading and subjective observation, PALMS introduces an intelligent, camera-assisted assessment system that provides posture detection, movement analysis, and personalized feedback.

System Overview

Built with affordability and accessibility in mind, this system supports devices like smartphones and webcams, enabling educators to assess students’ physical performance remotely or in person. Whether it's monitoring exercise form or evaluating sports drills, PALMS offers a consistent, accurate, and engaging way to manage physical education.

KeyFEATURES

Image-Based Movement Analysis

Uses camera technology and machine learning to detect form and movement accuracy.

Data-Driven Feedback

Automatically generates performance reports and visual cues for student improvement.

Remote Accessibility

Accessible via web browsers and mobile devices, enabling hybrid and remote learning for PE.

Instructor Dashboard

Allows educators to create classes, assign activities, and track student performance efficiently.

Project Objectives

  1. Use Camera-Based Image Processing

    To assess body movements and exercise techniques with consistency and accuracy.

  2. Empower Teachers with Digital Tools

    To simplify lesson planning, performance tracking, and grading through an easy-to-use instructor dashboard.

  3. Ensure Accessibility and Inclusivity

    To support students with different backgrounds, learning environments, and physical abilities—whether in-person or remote.

  4. Build a Cloud-Based PE System

    To enable flexible, scalable, and centralized management of PE classes and student data from any location.