Aeroglyph-Air-Writing Recognition Using Flex Sensors and Arduino Uno

Air-writing recognition is an innovative and emerging technology in Human-Computer Interaction (HCI), aimed at providing intuitive and portable input methods. This review discusses the implementation of air-writing systems utilizing flex sensors and Arduino Uno, emphasizing offline functionality, portability, and versatility. A flex sensor attached to the index finger captures finger movements, which are processed by Arduino Uno and transmitted via a Bluetooth module to a laptop or smartphone. The transmitted data is visualized in real-time using web-based or software interfaces. The paper elaborates on data acquisition, processing, communication, and visualization methodologies. By leveraging simple yet effective hardware and algorithms, this system demonstrates its potential applications in assistive technologies, education, and gesture-based interfaces. The problems faced in the process of implementation also include issues with complex gestures being undetected and problems associated with calibration are also presented within this paper. The future work and further research that would possibly be undertaken through this technology could include adding further machine learning advanced models as well as even further applications that extend its utility into today’s HCI solution.