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@article{190421,
        author = {Anjanakrishna C R and Amal Sony and Gopika Sunilkumar and Uma Maheswary Bibin and Mr. Krishnakumar M and Ms. Sheeja G},
        title = {EYE BLINK–BASED ASSISTIVE SYSTEM FOR COMMUNICATION AND ENVIRONMENTAL CONTROL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1300-1307},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190421},
        abstract = {Severely paralyzed patients often experience limita- tions in communication and control of their surrounding environ- ment. This paper presents an eye blink–based assistive control system designed to support communication, emergency alerting, and environmental control for such patients. The proposed system utilizes a camera based vision module to detect predefined eye blink patterns, which are mapped to specific functions including voice-based communication of basic needs, emergency alerts to caregivers, and control of comfort devices such as lights, fans, and bed positioning. To minimize accidental activation, a time threshold validation mechanism is incorporated, ensuring that commands are executed only when the corresponding blink pattern is maintained for a predefined duration. The system is non invasive, cost effective, and user friendly, offering an efficient solution to improve patient independence and quality of life.},
        keywords = {Eye blink detection, assistive technology, paralysis support system, human–computer interaction, patient monitor ing.},
        month = {January},
        }