Patterns of Static Prehension in Normal Hands-Reference-Cited by-同舟云学术

Patterns of Static Prehension in Normal Hands

Published:1980-07-01 Issue:7 Volume:34 Page:437-445
ISSN:0272-9490
Container-title:The American Journal of Occupational Therapy
language:en
Short-container-title:

Author:

Kamakura Noriko¹,Matsuo Michiko²,Ishii Harumi³,Mitsuboshi Fumiko³,Miura Yoriko³

Affiliation:

1. Noriko Kamakura, Dr. Med. Sc., OTR, is a researcher at Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan

2. Michiko Matsuo, OTR, Japan, is a former research assistant, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan

3. Harumi Ishii, OTR, Fumiko Mitsuboshi, OTR, and Yoriko Miura, OTR, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

Abstract

Abstract According to the finger positions and the contact areas, the static prehensile patterns of normal hands were classified into 14 patterns under 4 categories. The patterns that 7 subjects used for holding each of 98 objects were confirmed under these new classifications. The findings could be of reference value for the therapist interested in the evaluation and the re-education of disabled hands.

Publisher

AOTA Press

Subject

Occupational Therapy

Link

https://research.aota.org/ajot/article-pdf/34/7/437/47476/437.pdf

Cited by 142 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. How good are virtual hands? Influences of input modality on motor tasks in virtual reality;Journal of Environmental Psychology;2023-12

2. Transferable Microgestures Across Hand Posture and Location Constraints: Leveraging the Middle, Ring, and Pinky Fingers;Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29

3. The Functional Dexterity Test in Adult Populations: An Exploration of a Simplified Test Protocol and Parameters Guided by Statistical Outcomes;Journal of Hand Therapy;2023-10

4. A clinical approach to a child with mirror hand malformation: 8-year follow-up results;International Journal of Therapy and Rehabilitation;2023-07-02

5. ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06