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Data-driven child behavior prediction system based on posture database for fall accident prevention in a daily living space
Journal of Ambient Intelligence and Humanized Computing Pub Date : 2020-05-18 , DOI: 10.1007/s12652-020-02097-6
Tsubasa Nose , Koji Kitamura , Mikiko Oono , Yoshifumi Nishida , Michiko Ohkura

Ten thousand children are admitted to emergency rooms due to accidents every year in Tokyo. The most frequent accident is a fall accident. Fall accidents may occur when climbing to a high place in a daily living space. Since injury prevention by human supervision does not work well, the World Health Organization recommends an environmental modification approach as an effective preventive countermeasure to this problem. Predicting children’s behavior is necessary in order to improve the environment. However, even for advanced human modeling technology, predicting where children can climb in everyday life situations remains difficult. In the present study, the authors developed a new method for predicting places that children can climb in a data-driven manner by integrating cameras, a behavior recognition system (OpenPose), and a climbing motion planning algorithm based on a rapidly exploring random tree. Thirty five children participated in an experiment to collect climbing posture data. A simulation is performed based on the posture database and allows us to visually understand how children climb up in daily living space. This makes it possible to improve to achieve a safe environment for children without the need for specialized knowledge, which is useful for parents, nursery teachers, nurses, etc. The present paper describes fundamental functions of the developed system and presents an evaluation of the feasibility of the prediction function.



中文翻译:

基于姿势数据库的数据驱动儿童行为预测系统,用于预防日常生活空间中坠落事故

在东京,每年由于事故导致一万名儿童进入急诊室。最常见的事故是坠落事故。在日常生活空间中攀登高处时可能会发生坠落事故。由于在人的监督下预防伤害的效果不佳,因此世界卫生组织建议采用改变环境的方法作为对此问题的有效预防措施。为了改善环境,必须预测孩子的行为。但是,即使对于先进的人体建模技术,仍然很难预测儿童在日常生活中可以爬到哪里。在本研究中,作者开发了一种新方法,通过集成相机,行为识别系统(OpenPose)来预测儿童可以以数据驱动方式爬升的地点,以及基于快速探索随机树的攀爬运动规划算法。三十五名儿童参加了一项实验,以收集攀登姿势数据。基于姿势数据库进行的模拟可以使我们直观地了解儿童如何在日常生活空间中攀爬。这使得有可能无需父母的专业知识而为儿童提供一个安全的环境,这对父母,托儿所老师,护士等都是有用的。本文描述了所开发系统的基本功能,并对可行性进行了评估。预测功能。基于姿势数据库进行的模拟可以使我们直观地了解儿童如何在日常生活空间中攀爬。这使得有可能无需父母的专业知识而为儿童提供一个安全的环境,这对父母,托儿所老师,护士等都是有用的。本文描述了所开发系统的基本功能,并对可行性进行了评估。预测功能。基于姿势数据库进行的模拟使我们能够直观地了解儿童如何在日常生活空间中攀爬。这使得有可能无需父母的专业知识而为儿童提供一个安全的环境,这对父母,托儿所老师,护士等都是有用的。本文描述了所开发系统的基本功能,并对可行性进行了评估。预测功能。

更新日期:2020-05-18
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