A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairment in the elderly-Reference-Cited by-同舟云学术

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A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairment in the elderly

Published:2019-01-01 Issue:1 Volume:7 Page:252-263
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Fei Zixiang¹,Yang Erfu¹,Li David Day-Uei²,Butler Stephen³,Ijomah Winifred¹,Zhou Huiyu⁴

Affiliation:

1. Department of Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, UK

2. Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, UK

3. School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK

4. Department of Informatics, University of Leicester, Leicester, UK

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2019.1647577

Reference57 articles.

1. Neuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease

2. Periocular recognition: how much facial expressions affect performance?

3. Recognition of facial expressions using Gabor wavelets and learning vector quantization

4. Alzheimer's disease

5. How do you feel — now? The anterior insula and human awareness

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mild cognitive impairment prediction based on multi-stream convolutional neural networks;BMC Bioinformatics;2024-09-12

2. Emotion expressions and cognitive impairments in the elderly: review of the contactless detection approach;Frontiers in Digital Health;2024-07-08

3. MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos;Expert Systems with Applications;2024-03

4. Feature Extraction by Traditional Machine Learning and Deep Learning for Facial Expression Classification;2024

5. A Systematic Review of Artificial Intelligence Techniques for Early Detection of Mild Cognitive Impairment in the Elderly;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

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