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Efficient Haar Wavelet Transform for Detecting Saccades and Blinks in Real-Time EOG Signal
In this study, we present an efficient Haar discrete wavelet transform architecture using Radix- 2 r multiplier and 4:2 compressor. The functionality of this architecture is verified using real-time electrooculogram signal. This architecture is useful for saccade identification and blink detection,...
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Published in: | SN computer science 2021-05, Vol.2 (3), p.156, Article 156 |
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container_title | SN computer science |
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creator | Gundugonti, Kishore Kumar Narayanam, Balaji |
description | In this study, we present an efficient Haar discrete wavelet transform architecture using Radix-
2
r
multiplier and 4:2 compressor. The functionality of this architecture is verified using real-time electrooculogram signal. This architecture is useful for saccade identification and blink detection, as well as for recognizing human eye activity while reading. The standard Haar wavelet structure includes an adder, subtracter, and multiplier. The Haar structure is synthesized the use of the Cadence RTL compiler. The synthesis outcomes display that the proposed structure has much less latency and lower power consumption. |
doi_str_mv | 10.1007/s42979-021-00553-4 |
format | article |
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subjects | Algorithms Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Science and Communication Data Structures and Information Theory Discrete Wavelet Transform Epilepsy Eye movements Field programmable gate arrays Information Systems and Communication Service Multiplication & division Multipliers Number systems Original Research Pattern Recognition and Graphics Power consumption Real time Signal processing Software Engineering/Programming and Operating Systems Vision Wavelet transforms |
title | Efficient Haar Wavelet Transform for Detecting Saccades and Blinks in Real-Time EOG Signal |
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