Hand Gesture Detection with Indication
Year: 2025
Type: article
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.
Authors: Shaha, Arya Ashish, Salunkhe, Sanika Ashok, Gargade, Milind Mahadeo, Kumbhar, Rutuja Vijay
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930814891
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