Hand Gesture Detection with Indication

Abstract This paper presents a method for hand gesture detection and indication using a flex sensor and Arduino. Hand gesture detection using flexible sensors and Arduino platforms offers an innovative approach to human-computer interaction, enabling intuitive control systems in various applications such as robotics, gaming, and assistive technology. This paper presents a system that utilizes flex sensors integrated with Arduino microcontrollers to detect hand gestures and provide real-time indications based on the recognized gestures. Flex sensors, which measure the degree of bending in fingers or hands, are strategically placed on a glove or wearable device to capture the user's hand movements. The Arduino system processes the sensor data to interpret specific gestures, such as open, closed, or finger-specific movements. Upon detecting a gesture, the system triggers corresponding feedback mechanisms, such as visual indicators on a screen or haptic responses, providing clear indications to the user. The approach's simplicity, low cost, and high accuracy make it suitable for applications in gesture-based control systems, virtual reality interfaces, and sign language translation. Experimental results show that the system is capable of reliably detecting a range of hand gestures and delivering appropriate responses, demonstrating its effectiveness in creating intuitive interaction environments.