Diagnosis of Cerebellar Ataxia Based on Gait Analysis Using Human Pose Estimation: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Diagnosis of Cerebellar Ataxia Based on Gait Analysis Using Human Pose Estimation: A Deep Learning Approach

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
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Author:

Khalil Hisham¹,Saad Ahmed Mohamed Saad Emam²,Khairuddin Uswah¹

Affiliation:

1. Center for Artificial Intelligence and Robotics, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia,Kuala Lumpur,Malaysia

2. Texas A&M University-Corpus Christi, Corpus,Department of Computing Sciences,Christi,TX,USA,78412

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079231/10079241/10079396.pdf?arnumber=10079396

Reference27 articles.

1. Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases

2. SAIL: A Deep-Learning-Based System for Automatic Gait Assessment From TUG Videos

3. Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator

4. Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network

5. Classification of Diabetic Walking for Senior Citizens and Personal Home Training System Using Single RGB Camera through Machine Learning

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