An audio-enabled smart wheelchair

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dc.contributor.author Ssemambo, Christopher
dc.date.accessioned 2024-03-26T14:59:00Z
dc.date.available 2024-03-26T14:59:00Z
dc.date.issued 2023
dc.identifier.citation Ssemambo, C. (2023). An audio-enabled smart wheelchair. Busitema University. Unpublished dissertation en_US
dc.identifier.uri http://hdl.handle.net/20.500.12283/4177
dc.description Dissertation en_US
dc.description.abstract Wheelchairs are crucial for people with physical disabilities, but traditional manual handling can be challenging or impossible for those without hands or with age-related limitations. To address this, a voice-controlled wheelchair has been developed using Arduino and a voice recognition module. This system identifies spoken commands and matches them with actions predefined for the chair’s motion. By converting voice commands into digital signals, the wheelchair responds accordingly. Through simple voice prompts, the wheelchair can navigate various directions effectively, enhancing mobility and comfort. This innovation empowers people who struggle with manually hand-controlling the wheelchair. However, current commands have been programmed in English. Future works should focus on customizing this innovation to respond to local languages such as Luganda, Swahili, and Luo, among others. en_US
dc.description.sponsorship Mr. Alunyu Andrew Egwar; Busitema University en_US
dc.language.iso en en_US
dc.publisher Busitema University en_US
dc.subject Smart wheelchair en_US
dc.subject Physical disabilities en_US
dc.subject Spoken commands en_US
dc.subject Digital signals en_US
dc.title An audio-enabled smart wheelchair en_US
dc.type Other en_US


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