An audio-enabled smart wheelchair

dc.contributor.authorSsemambo, Christopher
dc.date.accessioned2024-03-26T14:59:00Z
dc.date.available2024-03-26T14:59:00Z
dc.date.issued2023
dc.descriptionDissertationen_US
dc.description.abstractWheelchairs 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.sponsorshipMr. Alunyu Andrew Egwar; Busitema Universityen_US
dc.identifier.citationSsemambo, C. (2023). An audio-enabled smart wheelchair. Busitema University. Unpublished dissertationen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/4177
dc.language.isoenen_US
dc.publisherBusitema Universityen_US
dc.subjectSmart wheelchairen_US
dc.subjectPhysical disabilitiesen_US
dc.subjectSpoken commandsen_US
dc.subjectDigital signalsen_US
dc.titleAn audio-enabled smart wheelchairen_US
dc.typeOtheren_US

Ssemambo_Dept._of_Informatics_&_Comp.Eng._2023.pdf
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