Construction of Quantitative Assessment Index for Infant-holding Postures During Bottle-feeding

Takuro Inoue, Shoko Miyauchi, Qi An, Shingo Ueki, Eri Tashiro, Yukari Kumagai, Yumi Hirai, Eri Tashiro, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An effective bottle-feeding method for infants with cleft lip and/or palate (CLP) is the Kumagai method. However, the number of specialists in the method is limited and providing direct instruction to many people is challenging. To solve this problem, developing a guidance system that enables learners to acquire Kumagai method skills without a direct instructor is desirable. Constructing such a guidance system requires defining a quantitative assessment index for skills in the Kumagai method. Therefore, in this study, we propose a new quantitative assessment index for infant-holding posture, which is the most basic and crucial skill in this method. Our experiments confirmed that the proposed index could stably assess the reproducibility of the infant-holding posture in the Kumagai method while reducing the effect of postural fluctuations during the feeding motion.

Original languageEnglish
Title of host publication2025 IEEE/SICE International Symposium on System Integration, SII 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages458-463
Number of pages6
ISBN (Electronic)9798331531614
DOIs
Publication statusPublished - Jan 21 2025
Event2025 IEEE/SICE International Symposium on System Integration, SII 2025 - Munich, Germany
Duration: Jan 21 2025Jan 24 2025

Publication series

Name2025 IEEE/SICE International Symposium on System Integration, SII 2025

Conference

Conference2025 IEEE/SICE International Symposium on System Integration, SII 2025
Country/TerritoryGermany
CityMunich
Period1/21/251/24/25

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Control and Optimization

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