Innovations in Assistive Technologies for People with Disabilities

  • Authors

    • Dr. Cat Pause Senior Lecturer, Massey University, New Zealand Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2019PI8K5R

    Published 09-04-2019

  • Assistive Technology, Artificial Intelligence, Internet Of Things, Brain–Computer Interface, Smart Prosthetics, Accessibility Engineering, Adaptive Systems, Human–Machine Interaction

    Issue

    Vol. 2 No. 2 (2019)

    Section

    Articles

    How to Cite

    [1]
    C. Pause, “Innovations in Assistive Technologies for People with Disabilities”, IJETMR, vol. 2, no. 2, pp. 01–14, Sep. 2019, doi: 10.67228/30715636/IJETMR-2019PI8K5R.

  • Abstract

    Over the past two decades, assistive technologies (AT) have advanced significantly due to developments in AI, IoT, robotics, wearable systems, brain–computer interfaces, and smart materials. These innovations have improved accessibility, autonomy, and social inclusion for people with disabilities. This paper reviews recent progress in intelligent assistive systems, including smart prosthetics, mobility aids, adaptive interfaces, and sensory augmentation devices. It highlights the role of machine learning in enabling real-time, personalized assistance—such as speech recognition for individuals with speech impairments and computer vision for navigation support in visually impaired users. Wearable biosensors and IoT-based systems further enhance monitoring and intervention for motor and cognitive conditions. The study categorizes assistive solutions into mobility, communication, cognitive enhancement, and environmental control systems. While progress is notable, challenges remain in cost, interoperability, data privacy, and long-term usability. Using user-centered design and adaptive AI models, the research evaluates system performance through metrics like task completion rate, cognitive load reduction, and user satisfaction. Results show measurable improvements, emphasizing the need for scalable, ethical, and inclusive solutions. Emerging technologies such as edge computing, soft robotics, and multimodal sensory systems are expected to shape the future of assistive ecosystems

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