Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn W...
Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Elderly gait is a source of rich information about their physical and mental health condition. As an alternative to the multiple sensors on the lower body parts, a single sensor on the pelvis has a positional advantage and an abundance of information acquirable. This study aimed to improve the accuracy of gait event detection in the elderly using a...
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Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor
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TN_cdi_doaj_primary_oai_doaj_org_article_c0f5cb6ba4d4496ebade17f84ef440e0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c0f5cb6ba4d4496ebade17f84ef440e0
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22218226
