A Multimodal IoT-Based Locomotion Classification System Using Features Engineering and Recursive Neu...
A Multimodal IoT-Based Locomotion Classification System Using Features Engineering and Recursive Neural Network
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Locomotion prediction for human welfare has gained tremendous interest in the past few years. Multimodal locomotion prediction is composed of small activities of daily living and an efficient approach to providing support for healthcare, but the complexities of motion signals along with video processing make it challenging for researchers in terms...
Alternative Titles
Full title
A Multimodal IoT-Based Locomotion Classification System Using Features Engineering and Recursive Neural Network
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e61f9ba23e7d4a83a7ef64df465c568d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e61f9ba23e7d4a83a7ef64df465c568d
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23104716
