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@article{196088,
        author = {Prasannikaa S and Prathibah S and Dr.G.Rajalakshmi},
        title = {Development of a Hybrid Human Machine Interaction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3190-3198},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196088},
        abstract = {The technology of human-machine interaction has gained importance in the development of inclusive systems that have helped people who have communication challenges. Individuals who are experiencing problems with speech and hearing tend to experience challenges in everyday communication with the rest of the society, restricting their involvement in social, educational, as well as professional settings. This paper will introduce a hybrid assistive communication system that has been developed to address this disconnect by allowing real time gesture-based interaction with such safety support features. The system translates identified hand gestures into speech and a textual mode thereby enabling the users of the system who use non-verbal mode of communication to communicate with others. Moreover, integrated emergency SOS switch will allow customers to transmit alert messages by means of automated picture snapping and e-mail, which is safer in case of severe circumstances. The system is subjected to Raspberry Pi platform based on the computer vision which provides real-time processing and practical deployment. The given solution shows the possibilities of intelligent assistive technology to enhance the degree of accessibility, independence, and safety of the differently-enabled people.},
        keywords = {Assistive Communication, Human–Machine Interaction, Gesture Recognition, Accessibility Technology, Real- Time Communication, Inclusive Computing, Emergency Alert Systems.},
        month = {April},
        }