Titlebook: Applied Assistive Technologies and Informatics for Students with Disabilities; Rajesh Kaluri,Mufti Mahmud,Kuruva Lakshmanna Book 2024 The

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Anjali Tandon,Geethanjali Natarajes, public spaces, and social interactions. Furthermore, the dependence on human interpreters may lead to delays in communication, especially in situations where immediate interpretation is crucial. This chapter aims to develop an accurate sign language recognition machine learning model that enable

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https://doi.org/10.1007/978-3-7091-0109-4converting spoken words into text. There are many software and applications designed to support students’ learning processes, for example, interactive math software that helps solve math problems or language learning apps that support language learning. These are special materials used to develop st

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Ruizhi Pang,Xuejie Bai,Knox Lovellue to perceptual distortion. Utilizing convolutional neural networks on EEG signals from dataset retrieved from Kaggle’s?data repository i.e.?“confused student EEG brainwave data,” the result shows remarkable accuracy?that is 97.35% while predicting dyslexia-related confusion?among students.

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Zhongqi Deng,Ruizhi Pang,Yu Fan study makes several recommendations for inclusive VR learning environment developers and educators, researchers, and policymakers in higher education settings as a reference based on the results. It is essential to conduct rigorous research in education to better understand the potential benefits,

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