z-logo
open-access-imgOpen Access
Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices
Author(s) -
K. M. Monica,
R. Parvathi,
A. Gayathri,
Rajanikanth Aluvalu,
K. Sangeetha,
Chennareddy Vijay Simha Reddy
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/5422428
Subject(s) - computer science , gait , wearable computer , artificial intelligence , machine learning , context (archaeology) , overhead (engineering) , wearable technology , convolutional neural network , process (computing) , deep learning , activity recognition , embedded system , physical medicine and rehabilitation , operating system , biology , medicine , paleontology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom