Abstract
The need for wheelchairs has continuously increased over the years, owing to a rise in the number of elderly and physically challenged individuals who use them. Hand-operated and electrically driven wheelchairs are the most common forms of wheelchairs used across the world. It is difficult to use for those who are physically impaired, paralyzed, or have a hand problem. The use of a hand-operated wheelchair necessitates physical strength, making it difficult for the elderly or crippled to use. The suggested system's goal is to use Google Assistant to manage the wheelchair via voice commands. The device is meant to allow a person to operate a wheelchair using their voice. The goal of this project is to make it easier for persons who are disabled or handicapped, as well as older people who are unable to walk freely, to move around and live a life where their everyday necessities, are less dependent on others. Speech recognition is a key technique that will enable humans to interact with technologies and equipment in novel ways. As a result, Google Assistant solves the issues they have with speech recognition for wheelchair mobility. This may be accomplished and maximized by using a smartphone device as an intermediary or interface. Interfaces have been built in this project to produce software that recognizes voice and also regulates the chair's motion, as well as a system that can handle or manage display signals. To offer wheelchair mobility, this project uses an ESP8266 Microcontroller circuit and DC motors, as well as ultrasonic sensors to identify obstructions in the wheelchair's route.
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Muthulakshmi, K., Padmavathy, C., Kirthika, N., Vidhya, B., Manimekalai, M.A.P. (2023). Internet of Things and Smart Intelligence-Based Google Assistant Voice Controller for Wheelchair. In: Shakya, S., Papakostas, G., Kamel, K.A. (eds) Mobile Computing and Sustainable Informatics. Lecture Notes on Data Engineering and Communications Technologies, vol 166. Springer, Singapore. https://doi.org/10.1007/978-981-99-0835-6_54
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DOI: https://doi.org/10.1007/978-981-99-0835-6_54
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