Computer Vision-Based Approach for Quantifying Occupational Therapists’ Qualitative Evaluations of Postural Control

Joint Authors

Hagihara, Hiromichi
Ienaga, Naoto
Enomoto, Daiki
Takahata, Shuhei
Ishihara, Hiroyuki
Noda, Haruka
Tsuda, Koji
Terayama, Kei

Source

Occupational Therapy International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-27

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

This study aimed to leverage computer vision (CV) technology to develop a technique for quantifying postural control.

A conventional quantitative index, occupational therapists’ qualitative clinical evaluations, and CV-based quantitative indices using an image analysis algorithm were applied to evaluate the postural control of 34 typically developed preschoolers.

The effectiveness of the CV-based indices was investigated relative to current methods to explore the clinical applicability of the proposed method.

The capacity of the CV-based indices to reflect therapists’ qualitative evaluations was confirmed.

Furthermore, compared to the conventional quantitative index, the CV-based indices provided more detailed quantitative information with lower costs.

CV-based evaluations enable therapists to quantify details of motor performance that are currently observed qualitatively.

The development of such precise quantification methods will improve the science and practice of occupational therapy and allow therapists to perform to their full potential.

American Psychological Association (APA)

Hagihara, Hiromichi& Ienaga, Naoto& Enomoto, Daiki& Takahata, Shuhei& Ishihara, Hiroyuki& Noda, Haruka…[et al.]. 2020. Computer Vision-Based Approach for Quantifying Occupational Therapists’ Qualitative Evaluations of Postural Control. Occupational Therapy International،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1206281

Modern Language Association (MLA)

Hagihara, Hiromichi…[et al.]. Computer Vision-Based Approach for Quantifying Occupational Therapists’ Qualitative Evaluations of Postural Control. Occupational Therapy International No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1206281

American Medical Association (AMA)

Hagihara, Hiromichi& Ienaga, Naoto& Enomoto, Daiki& Takahata, Shuhei& Ishihara, Hiroyuki& Noda, Haruka…[et al.]. Computer Vision-Based Approach for Quantifying Occupational Therapists’ Qualitative Evaluations of Postural Control. Occupational Therapy International. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1206281

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1206281