Hand Gesture Recognition and Motion Detection System for Interactive Applications

Abstract

Security systems and interactive multimedia applications are two examples of the many fields in which Gesture Sense (GS) technology, a significant development in human-computer interaction, has found use. This paper introduces the "Arduino Hand Gesture Identification and Motion Detection System," a revolutionary combination of Python, Arduino Uno R3, and ultrasonic sensors intended to improve interactive apps through accurate gesture identification. Real-time tracking of hand movements is made possible by ultrasonic sensors, which are renowned for their fine-grained motion detection capabilities. Python allows the Arduino Uno R3 to run complex gesture detection algorithms. A user's engagement is improved by an LCD that presents recognized gestures and status updates, which provides immediate visual feedback. The system's outstanding accuracy, responsiveness, and usability are demonstrated by severe testing, which shows that it typically recognizes objects with an accuracy of 93%. In the context of interactive applications, this research study demonstrates how GS technology has the potential to revolutionize user experiences by ensuring seamless and immersive interactions. Key Words: Interactive application, Human-computer interaction, Hand gesture recognition, Motion detection.