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@article{192966,
        author = {Payal Sonwane and Samiksha Kuthe and Priyanshu Shastri and Tuba Naaz and Siddhesh Ukey and Prof. Akil Ahemad},
        title = {Design and Review of a Voice-Controlled Wheelchair},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2883-2888},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192966},
        abstract = {This paper presents the design of an Arduino-based automated wheelchair. The system is developed using a speech recognition module that enables physically disabled individuals particularly which those experiencing difficulty in hand movement due to ageing or paralysis-to control the wheelchair through voice commands instead of the conventional joystick-based operation. To ensure safe movement, the wheelchair is also equipped with an obstacle detection feature. The proposed system is implemented using an Arduino Mega 2560, an Easy-VR 3.0 speech recognition module, and relay-based motor controller circuits integrated with the wheelchair. Unlike several existing approaches that rely on wearable biomedical sensors which require complex signal processing and bulky external computing units-the designed system eliminates the need for such sensors. Compared to existing techniques, this system offers an affordable and practical solution, making it especially suitable for improving mobility assistance for physically disabled individuals in developing and underdeveloped countries. his review paper does not include experimental validation and focuses solely on analysis of existing research.},
        keywords = {Voice Controlled Wheelchair, Assistive Technology, Speech Recognition, DC Motor Control, Arduino, Motor Driver, Battery Operated Wheelchair, Emergency Stop System},
        month = {February},
        }