Safe Walking Route Recommender Based on Fall Risk Calculation Using a Digital Human Model on a 3D Map
Safe Walking Route Recommender Based on Fall Risk Calculation Using a Digital Human Model on a 3D Map
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基于 3D 地图上数字人体模型的跌倒风险计算的安全步行路线推荐
DOI：
10.1109/access.2022.3143322
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发表时间：
2022
期刊：
影响因子：
3.9
通讯作者：
Kurita Yuichi
中科院分区：
文献类型：
--
作者：
Minakata Mayuko;Maruyama Tsubasa;Tada Mitsunori;Ramasamy Priyanka;Das Swagata;Kurita Yuichi
最近久坐不动的生活方式的增加突出了身体活动在我们日常生活中的重要性。虽然跌倒事故是老年人受伤的常见原因，但步行是最简单的身体活动之一。因此，步行路径选择和识别不同场景下的步行行为仍然是一个广泛的研究领域。本论文旨在开发一个步行路径推荐系统，为使用者提供安全的步行路径，并降低跌倒事故的发生率。在将起点和终点提供给系统后，我们确定候选路线。然后，通过在三维激光扫描点云上对数字人体模型进行多次步行模拟来识别每个候选路线中涉及的绊倒风险。最后，在考虑用户的年龄和绊倒风险之后，确定安全路线。据证实，绊倒风险可以胜任估计根据所考虑的年龄组。
The recent increase in sedentary lifestyles has highlighted the importance of physical activity in our daily lives. Although fall accidents are a common cause of injuries among the elderly, walking is one of the simplest physical activities available. Therefore, walking route selection and identification of walking behavior in different scenarios remains a widely researched area. This paper is about developing a walking-route recommender system that proposes a safe route to the user and reduces the probability of fall accidents. We determine route candidates after the start and endpoints are fed to the system. Then the tripping risk involved in each route candidate is identified by performing several walking simulations of a digital human model on a three-dimensional laser-scanned point cloud. Finally, a safe route is determined after considering the user’s age and the tripping risk. It was confirmed that tripping risk could be competently estimated according to the considered age group.