Abstract
In this paper, we attempt to suppress noise from mouse input due to involuntary tremors from patients with motor disabilities. In order to achieve this task, we used techniques like breakpoint detection and mean filtering to preprocess our data which was then fed into a deep recurrent neural network. Additionally, we tested various architectures and explored existing hardware and software based assistive technologies.
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Harnale, S., Vaidya, A., Bhide, A., Sanap, A., Bedekar, M.V. (2019). LSTM Approach to Cancel Noise from Mouse Input for Patients with Motor Disabilities. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_42
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DOI: https://doi.org/10.1007/978-3-030-16681-6_42
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