- 一般社団法人 日本ロボット学会
- 日本ロボット学会誌 (ISSN:02891824)
- vol.40, no.6, pp.554-557, 2022 (Released:2022-07-20)
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.