A hand motion capture method based on infrared thermography for measuring fine motor skills in biomedicine-Reference-Cited by-同舟云学术

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A hand motion capture method based on infrared thermography for measuring fine motor skills in biomedicine

Published:2023-01 Issue: Volume:135 Page:102474
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Zhu Yean^ORCID,Guo Chonglun

Funder

Key Science and Technology Research Project in Jiangxi Province Department of Education

Guangxi Key Research and Development Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference59 articles.

1. An end-to-end framework for unconstrained monocular 3D hand pose estimation;Sharma;Pattern Recognit,2021

2. Spatial-aware stacked regression network for real-time 3D hand pose estimation;Ren;Neurocomputing,2021

3. Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination;Huang;Expert Syst Appl,2011

4. A survey on 3D hand pose estimation: Cameras, methods, and datasets;Li;Pattern Recognit,2019

5. A CRNN module for hand pose estimation;Hu;Neurocomputing,2019

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2. In-bed human pose estimation using multi-source information fusion for health monitoring in real-world scenarios;Information Fusion;2024-05

3. Precise 6-DOF Motion Tracking of Fine Motor Skills of Fingers Based on Wearable Magnetic Induction Sensors;IEEE Sensors Journal;2024-04-01

4. Exploring the Growth and Predictors of Fine Motor Skills in Young Children Aged 4–8 Years;Education Sciences;2023-09-15

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