A wavelet- and neural network-based voice system for a smart wheelchair control

DOI10.1016/J.JFRANKLIN.2009.02.005zbMath1213.93137OpenAlexW2075259830WikidataQ123114487 ScholiaQ123114487MaRDI QIDQ630887

Mohammad Al-Rousan, Khaled Assaleh

Publication date: 22 March 2011

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2009.02.005

zbMATH Keywords

waveletsvoiceGSMneural networksGPSDSPwheelchair

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)

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Cites Work

• A wheelchair steered through voice commands and assisted by a reactive fuzzy-logic controller
• Architecture and applications of the Bremen autonomous wheelchair

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