A Detection System for Comfortable Locations Based on Facial Expression Analysis While Riding Bicycles
A Detection System for Comfortable Locations Based on Facial Expression Analysis While Riding Bicycles
复制标题
基于骑行时面部表情分析的舒适位置检测系统
DOI：
10.1145/3543873.3587371
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Kawai Yukiko
中科院分区：
文献类型：
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作者：
Yamaguchi Ryuta;Siriaraya Panote;Yoshihisa Tomoki;Shimojo Shinji;Kawai Yukiko
近年来，自行车作为一种健康、经济的交通工具在世界范围内得到了推广。此外，随着COVID-19导致的自行车通勤增加，自行车作为移动即服务（MaaS）中的最后一英里交通工具的使用正引起关注。为了帮助确保使用安装在自行车上的智能手机的安全和舒适的骑行，本研究的重点是分析面部表情，而骑，以确定潜在的舒适度沿着与周围环境的路线，并提供一个地图，用户可以明确反馈（FB）骑后。结合骑行和FB时面部表情的情绪，我们将舒适度注释到不同的位置。之后，我们验证了高水平的舒适度的基础上，使用谷歌街景（GSV）获得的数据和这些位置的周围环境的位置之间的关系。
In recent years, the use of bicycle as a healthy and economical means of transportation has been promoted worldwide. In addition, with the increase in bicycle commuting due to the COVID-19, the use of bicycles are attracting attention as a last-mile means of transportation in Mobility as a Service(MaaS). To help ensure a safe and comfortable ride using a smartphone mounted on a bicycle, this study focuses on analyzing facial expressions while riding to determine potential comfort along the route with the surrounding environment and to provide a map that users can explicitly feedback(FB) after riding. Combining the emotions of facial expressions while riding and FB, we annotate comfort to different locations. Afterwards, we verify the relationship between locations with high level of comfort based on the acquired data and the surrounding environment of those locations using Google Street View(GSV).