TY - JOUR A2 - 希尔顿，克劳迪娅AU - 萩原，弘道AU - 家永，菅直AU - 榎本，大树AU - 高畑勋，周平AU - 石原裕AU - 野田遥AU - 津田浩二AU - 寺山，箕PY -2020 DA - 2020/04/27 TI - Computer Vision-Based Approach for Quantifying Occupational Therapists’ Qualitative Evaluations of Postural Control SP - 8542191 VL - 2020 AB - 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. SN - 0966-7903 UR - https://doi.org/10.1155/2020/8542191 DO - 10.1155/2020/8542191 JF - Occupational Therapy International PB - Hindawi KW - ER -