Mouse-Cam

Emulates mouse functions using Camera and Hand Gestures. Uses EmguCV and Accord.NET.

IDE Used

• Visual Studio 2015

Dependencies

You can acquire these dependencies by using NuGet Package Manager.

• Accord.3.8.0
• Accord.MachineLearning.3.8.0
• Accord.Math.3.8.0
• Accord.Statistics.3.8.0
• EMGU.CV.3.3.0.2824
• ZedGraph.5.1.5

Overview

This is done by the following steps

1. Loads necessary data for the following:

   • Look Up Table for Skin Color Detection (HSV Color Space)^[1].
   • Support Vector Machine (SVM)^[2] Model for classifying the differences between Actual Hand, Arm, and Head contours. Trained using Hu-Moments as training dataset.
   • K-Nearest Neighbor (KNN)^[3] Model for classifying specific Hand Gestures such as Open, Up, Down, Left, and Right. Trained using their Hand Convex Defects training dataset.

2. Start the image acquisition from the camera.

3. Apply Look Up Table based Skin Detection on each pixel of the acquired image frame. This will generate a Binary Image that contains Skin Image Blobs.

   Fig. 1 - Generated Skin Detection Binary Image

4. Find the ROI of each contour of blobs. For simplification, it's assumed that Hand is Located in the largest contour blobs.

5. After finding the largest blob, compute its Hu-Moment and classify it with SVM.

   • If it's classified as the head, return to step 3.
   • If it's classified as arm, localize its hand then proceed to step 6.
   • If it's classified as hand, proceed to step to step 6.

6. After localizing the hand, recompute its Convex Defects^[4] and classify it using KNN in order to distinguish gestures with the following

   Fig. 2 - Open gesture classification

   Fig. 3 - Left gesture classification

   Fig. 4 - Right gesture classification

   Fig. 5 - Up gesture classification

   Fig. 6 - Down gesture classification

7. Then proceed to trigger mouse functions programmatically

   • If classified as Open perform moving the mouse cursor.
   • If classified as Left perform a left click.
   • If classified as Right perform a right click.
   • If classified as Up perform scroll-up.
   • If classified as Down perform scroll-down.

8. Repeat step 3 until image acquisition is stopped.

References:

1. Statistical Color Models with Application to Skin Detection
2. Support Vector Machines Wiki
3. K-Nearest Neighbor Wiki
4. Hand Tracking and Recognition With OpenCV