GNSS Trajectory Storytelling Using Mobile Environments
GNSS Trajectory Storytelling Using Mobile Environments
复制标题
使用移动环境讲述 GNSS 轨迹故事
DOI：
10.1007/978-3-031-06417-3_35
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Masatoshi Arikawa and Ryo Sato
中科院分区：
文献类型：
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作者：
Iori Sasaki;Masatoshi Arikawa and Ryo Sato
使用GNSS（全球导航卫星系统）传感器的基于位置的服务具有个人媒体的特点，可以详细记录和分享您的旅游体验。然后，我们的研究旨在分析问题的可视化轨迹映射和增强基于位置的媒体更好地沟通您的旅游体验的算法。基于语义丰富的方法，我们假设可以通过轨迹衔接生成简洁而丰富的轨迹故事，包括（1）UGC（用户生成内容）的可视化点;（2）室内位置的抽象和可视化点;（3）丢弃保持静止的点;（4）平滑不稳定的线条。我们的工作已经实现了这一点，采用多个内置的智能手机传感器和适当地捕捉步行者的运动和环境。然而，还没有调查该方法是否总是对用户产生积极影响。然后，本文介绍了一个可用性调查比较原始GNSS轨迹和铰接GNSS轨迹，并讨论了基于地图的可视化的要求。结果表明，消除停留点是最有效的影响因素。构建简单的轨迹往往是首选。另一方面，一半的受试者不喜欢去除由GNSS传感器的随机噪声和冗余的步行者的运动引起的不稳定的绘图，因为它会失去轨迹的真实性。因此，需要进一步研究冗余度与用户偏好之间的关系。
Location-based services using GNSS (Global Navigation Satellite System) sensors have the aspect of personal media that records and shares your tourism experiences in detail. Then, our research aims to analyze problems of visualization of trajectory mapping and enhance location-based media for better communication of your tourism experiences by an algorithm. Based on approaches of semantic enrichment, we have assumed that concise and rich trajectory storytelling can be generated through Trajectory Articulation which comprises of (1) visualizing point of UGC (User Generated Content); (2) abstracting and visualizing points of indoor location; (3) discarding point of remaining stationary; (4) smoothing unstable lines. Our work has realized this by employing multiple built-in smartphone sensors and appropriately catching the walker’s motions and environments. However, it has not been investigated whether the method always has positive effects on users. Then, this paper introduced a usability survey comparing a raw GNSS trajectory and an articulated GNSS trajectory, and discussed the requirements for map-based visualization. According to the results, the most effective factor is eliminating points of staying. Constructing simple trajectories tends to be preferred. On the other hand, half of the subjects do not like to remove unstable drawings caused by random noise of GNSS sensors and redundant walker's motion because it can lose the reality of trajectories. Therefore, further investigations of the relationships between the degree of redundancy and users’ preferences are needed.