Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58421, first published .
Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study

Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study

Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study

Chien-Yu Huang   1, 2 , PhD ;   Yen-Ting Yu   1, 3 , PhD ;   Kuan-Lin Chen   3, 4, 5 , PhD ;   Jenn-Jier Lien   6 , PhD ;   Gong-Hong Lin   7 , PhD ;   Ching-Lin Hsieh   1, 2, 8 , PhD

1 School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan

2 Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan

3 Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan

4 Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan

5 Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, Tainan, Taiwan

6 Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Cheng Kung University, Tainan, Taiwan

7 International PhD Program in Gerontology and Long-Term Care, School of Nursing, Taipei Medical University, Taipei, Taiwan

8 Department of Occupational Therapy, College of Medical and Health Sciences, Asia University, Taipei, Taiwan

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