Extracting Stay Regions from UWB Indoor Trajectory





Location-based technology is key for ubiquitous society. To enhance the location-based services, recognizing the places and the patterns where a person and an object have visited in addition to geographical locations is needed. Although some researchers have developed methods that extract outdoor stay regions from GPS trajectories to recognize the visiting places, there is no technology that recognizes stay regions, such as spatial location in a living house and an office building, from indoor trajectories. Technology for extracting indoor stay regions is required to achieve more intelligent indoor-location-based services, such as smart-home and smart-office. Therefore, we developed a method which extracts stay regions from an ultra-wideband (UWB) indoor trajectory. An UWB indoor positioning technology provides location information with a few-tens-of-centimeters error. Our developed method was evaluated comparing with conventional methods.


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  • Tessai Hayama, Tsuyoshi Nariai, Nagatomo, “Extracting Stay Regions from UWB Indoor Trajectory”, 4th International Conference on Business Management of Technology (BMOT 2019), 2019.
  • Tessai Hayama, Hiroki Takahashi, Kazuya Nagatomo, “Extracting Stay Regions from Indoor Geospatial Trajectory Using Time-based Clustering”, 14th International Conference on Knowledge, Information, Creativity Support Systems (KICSS 2019), 2019.
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