International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Gesture Controlled Vocalizer using Flex Sensor Glove and Arduino |
|---|---|
| ABSTRACT | Communication barriers significantly affect individuals with speech impairments, limiting their ability to express thoughts and interact independently with society. This project presents a Gesture Controlled Vocalizer using a Flex Sensor Glove, Arduino, and Artificial Intelligence (AI) designed to convert hand gestures into meaningful voice output. The system employs flex sensors mounted on a wearable glove to capture finger bending and hand movements, which are processed by an Arduino microcontroller. An AI-based gesture recognition approach is used to analyze sensor patterns and accurately classify predefined gestures, even in the presence of slight variations in movement. Once a gesture is recognized, the corresponding text or voice message is generated using a text-to-speech or audio playback module and delivered through a speaker in real time. The integration of AI enhances recognition accuracy, adaptability, and scalability compared to traditional rule-based systems. The proposed system is portable, cost-effective, and user-friendly, making it suitable for daily communication assistance. Experimental results demonstrate reliable performance with minimal response time between gesture input and voice output. The system also provides scope for future enhancements such as multilingual support, expanded gesture sets, and personalized learning models, thereby offering an effective assistive solution to improve communication accessibility and quality of life for speech-impaired individuals. |
| AUTHOR | PROF. MANJULA N, AKASH, GOUTHAM E S, RAKSHITHA, VINAYAK Department of Electronics Communication and Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312047 |
| pdf/47_Gesture Controlled Vocalizer using Flex Sensor Glove and Arduino.pdf | |
| KEYWORDS | |
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