A Real-time Voice Interface for Intelligent Wheelchairs

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dc.contributor.authorMoschopoulos, Spyridonen_US
dc.contributor.authorFudos, Ioannisen_US
dc.contributor.authorKoritsoglou, Kyriakosen_US
dc.contributor.authorTatsis, Giorgosen_US
dc.contributor.authorTzovaras, Dimitriosen_US
dc.contributor.editorPelechano, Nuriaen_US
dc.contributor.editorLiarokapis, Fotisen_US
dc.contributor.editorRohmer, Damienen_US
dc.contributor.editorAsadipour, Alien_US
dc.date.accessioned2023-10-02T08:17:22Z
dc.date.available2023-10-02T08:17:22Z
dc.date.issued2023
dc.description.abstractThis paper reports on the development of a real-time voice interface for navigation purposes of electric wheelchairs. To this end, we employ a convolutional neural network trained and fine-tuned using a small dataset that consists of Greek commands. Furthermore, the study explores a highly quantized version of the network to achieve computational efficiency while maintaining high accuracy on an edge device. The experimental results confirm the effectiveness of the model in accurately detecting keywords in real time with minimal misclassifications.en_US
dc.description.sectionheadersApplication in Helping and Improving User Experience
dc.description.seriesinformationInternational Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET)
dc.identifier.doi10.2312/imet.20231250
dc.identifier.isbn978-3-03868-233-2
dc.identifier.pages19-22
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/imet.20231250
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/imet20231250
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Speech recognition; Supervised learning by classification; Transfer learning; Computer systems organization -> Real-time system architecture; Hardware -> Hardware accelerators
dc.subjectComputing methodologies
dc.subjectSpeech recognition
dc.subjectSupervised learning by classification
dc.subjectTransfer learning
dc.subjectComputer systems organization
dc.subjectReal
dc.subjecttime system architecture
dc.subjectHardware
dc.subjectHardware accelerators
dc.titleA Real-time Voice Interface for Intelligent Wheelchairsen_US
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IMET 2023: International Conference on Interactive Media, Smart Systems and Emerging Technologies