• Sanjay Singh
• Swapnil Mishra
• Pratik Magar
• Payal Gaikwad

Hand gesture interaction has been the trending technology for human-computer interaction(HCI). Frequently a number of research works are carried out in this area to expedite and contrive interaction with computers. In this project, we are attempting to create a real-time human-computer interaction system(HCI) using different hand gestures methods : hand movement and hand signs. We propose a single camera hand gesture estimation algorithm for hand gesture tracking in 2D space from a distance and are mapped to the screen coordinates. OpenCV library can be used to perform the needed task. Various methods of Image Processing can be applied for the same and the operations that can be carried out are Capturing frames, Background Subtraction using MOG filter,Noise Reduction using Gaussian Blur, converting the captured image to binary image, find contours through Convex Hull method which is used for removing convexity defects. The image is then segmented and it’s features are extracted. Different sets of gestures are assigned with different key-press events which are then performed when the captured gesture matches a similar gesture from the Dataset.

Artificial Intelligence(AI), Human-Computer Interaction(HCI), Image Processing

"Continuous Arm Gesture Recognition Based on Natural Features and Generalized Methods of Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.871-882, May-2020, Available :http://www.jetir.org/papers/JETIR2005122.pdf

"Continuous Arm Gesture Recognition Based on Natural Features and Generalized Methods of Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp871-882, May-2020, Available at : http://www.jetir.org/papers/JETIR2005122.pdf