Reconfigurable VLSI Design Architecture for Deep Learning Established Forelimb and Hindlimb Gesture Recognition for Rehabilitation Application

Reconfigurable VLSI Design Architecture for Deep Learning Established Forelimb and Hindlimb Gesture Recognition for Rehabilitation Application

Recently, a large body of work has revealed a very accurate deep learning established movement categorization algorithmic technique for assistive technology applications. However, minimum seriousness is given to its relative hardware execution. But direct mapping these algorithms onto battery-operat...

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Bibliographic Details
Main Authors: Anagha Nimbekar, Y. V. Sai Dinesh, Arvind Gautam, Vidhumouli Hunsigida, Appa Rao Nali, Amit Acharyya
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks (CNN)
long-term convolutional networks (LRCN)
long short-term memory (LSTM)
LoCoMo-Net
MyoNet
Online Access:https://ieeexplore.ieee.org/document/10175539/

Internet

https://ieeexplore.ieee.org/document/10175539/

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