Published Paper Details:

In this project we are building a "Perceptual User Interface (PUI)" for user to adjust the volume of Personal Computer. We are going to leverage Gesture recognition technique to capture the user actions and modulate the computer volume. We will be leveraging Python and OpenCV open-source libraries to build this interface. A technique called hand gesture recognition can spot a hand motion in a live video feed. One of the more challenging tasks is designing the ability to recognize hand gestures since it combines two important problems. The initial stage is to recognize the hand, followed by the creation of a sign that can only be used by one hand at a time. Several contexts, such as sign language and human-computer interaction, are appropriate for its use. Utilizing Python and OpenCV, hand gesture recognition may be built using the fundamentals of hand segmentation and the hand detection system, both of which employ the Haar-cascade classifier. Using shape-based feature detection, this research discusses a method for identifying hand gestures. A single camera is used in the arrangement to record and send the user's gesture to the system.