Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{174698,
        author = {Shreekrishna R K and Sagar S and Sudeep S Kodad and Rathan C and Dr. Govinda Raju M},
        title = {Human Machine Interface (HMI) - A Survey},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {399-405},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174698},
        abstract = {Human-Machine Interface (HMI) has become a critical area of research, driven by the rapid advancements in embedded systems and the growing demand for seamless interaction between humans and machines. This survey provides a comprehensive overview of various HMI technologies, tracing their evolution and examining their applications in the development of assistive devices. The paper explores a wide range of interfacing techniques, including touch-based systems, voice recognition, gesture control, brain-computer interfaces, and haptic feedback, highlighting their unique advantages and limitations. While these technologies have significantly enhanced human-machine interaction, challenges such as usability, accessibility, and adaptability remain.},
        keywords = {BCI, Embedded systems, HMII, Touch screen, PLC, Artificial Intelligence, Autonomous, VR, Hand Gesture Recognition, Deep Learning.},
        month = {March},
        }