日本ロボット学会誌
Online ISSN : 1884-7145
Print ISSN : 0289-1824
ISSN-L : 0289-1824
論文
保育所適合型見守り支援を可能にする疫学と現場観察双方からの事故状況分析
田島 怜奈尾崎 正明内山 瑛美子西田 佳史山中 龍宏
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ジャーナル フリー

2022 年 40 巻 6 号 p. 554-557

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Many serious injuries occur in preschools. Effective injury prevention requires measures customized to the individual preschool. This paper proposed a field-adaptive injury prevention support system that combines both epidemiological analysis of big data of accidents occurred at Japanese preschools and video analysis on accidents/incidents occurred at a specific preschool. While the big data analysis revealed serious injury patterns common in preschools, the video analysis allowed us to extract behavioral patterns in real situations arising at the target preschool. Analysis from both sides enabled the grasping of the behaviors and environments that could lead to serious accidents at the target preschool.

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