INTRODUCTION
o A HANDS-FREEMOUSE SYSTEM THAT USES A CAMERA
TO TRACK HAND GESTURES AND FACIAL MOVEMENTS
TO SIMULATE MOUSE ACTIONS (E.G., LEFT CLICK, RIGHT
CLICK, DRAG, AND SCROLL).
o OVERVIEW: INTRODUCTION TO THE CONCEPT OF AN
AI VIRTUAL MOUSE SYSTEM.
o OBJECTIVE: EXPLAIN THE GOAL OF CREATING A
VIRTUAL MOUSE CONTROLLED BY HAND GESTURES
USING AI.
4.
SYSTEM ARCHITECTURE
•Hardware:
•A webcamor built-in camera.
•Software:
•Python-based application using OpenCV and Mediapipe.
•AI/ML models for gesture and motion detection.
•Components:
•Gesture recognition.
•Cursor movement control.
•Click and drag simulation.
5.
FEATURES
•Gesture Detection:
•Open hand:Move cursor.
•Pinch gesture: Drag.
•Thumb up: Left click.
•Two-finger gesture: Right click.
•Facial Interaction:
•Eye blink: Click actions.
•Smile: Confirmation for specific tasks.
•Adaptability:
•Customizable gestures for different users.
6.
WORKFLOW
•Camera Input:
•Captures livefeed.
•Preprocessing:
•Detect hands and facial features using OpenCV.
•Gesture Recognition:
•Classify gestures using AI models
(Mediapipe/Custom TensorFlow model).
•Mouse Action Mapping:
•Map gestures to corresponding actions like click,
drag, and scroll.
•Output:
•Control cursor and perform operations on screen.
7.
TOOLS & TECHNOLOGIES
•Languages:Python.
•Libraries/Frameworks:
•OpenCV, Mediapipe, NumPy, PyAutoGUI.
•Hardware: Standard camera and computing device.
•AI Models:
•Pretrained hand and face landmark models (Mediapipe).
8.
APPLICATIONS
•Accessibility:
•Empower people withmotor impairments.
•Professional Use:
•Hands-free interactions for presentations or multitasking.
•Gaming:
•Gesture-based gaming controls.
•Education:
•Remote teaching and interactive lessons.
9.
MARKET
COMPARISON
• SHOWCASE THEAI VISUAL
MOUSE IN ACTION:
• Move cursor using
gestures.
• Perform drag-and-drop
operations.
• Demonstrate click actions
with hand or facial
movements.
Demo (Optional)
10.
MODEL TRAINING
o SelectionModel: Describe the type of model used
(e.g., CNN, RNN).
o Training Process: Outline the process and
parameters.
o Evaluation Metrics: Mention metrics used to evaluate
model performance (accuracy, precision, recall).
11.
CONCLUSION
•Summary:
•AI Visual Mouseis an innovative solution to revolutionize the
way we interact with computers.
•It’s accessible, practical, and has a wide range of real-world
applications.
•Call to Action:
•Support further research and development to make this
technology more robust and widespread.
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