Virtual Assistant and Navigation for the Visually Impaired Using Deep Neural Network and Image Processing
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3604-1_29
Reference11 articles.
1. Sáez Y, Montes H, Garcia A, Muñoz J, Collado E, Mendoza R (2021) Indoor navigation technologies based on RFID systems to assist visually impaired people: a review and a proposal. IEEE Lat Am Trans 19(8):1286–1298. https://doi.org/10.1109/TLA.2021.9475859
2. Kandalan RN, Namuduri K (2020) Techniques for constructing indoor navigation systems for the visually impaired: a review. IEEE Trans Human-Mach Syst 50(6):492–506. https://doi.org/10.1109/THMS.2020.3016051
3. Xiao J, Joseph SL, Zhang X, Li B, Li X, Zhang J (2015) An assistive navigation framework for the visually impaired. IEEE Trans Hum Mach Syst 45(5):635–640. https://doi.org/10.1109/THMS.2014.2382570
4. Hunaiti Z, Garaj V, Balachandran W (2009) An assessment of a mobile communication link for a system to navigate visually impaired people. IEEE Trans Instrum Meas 58(9):3263–3268. https://doi.org/10.1109/TIM.2009.2022374
5. Katzschmann RK, Araki B, Rus D (2018) Safe local navigation for visually impaired users with a time-of-flight and haptic feedback device. IEEE Trans Neural Syst Rehabil Eng 26(3):583–593. https://doi.org/10.1109/TNSRE.2018.2800665
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