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情報データ科学部 情報データ科学科 |
職務経歴（学内） 【 表示 ／ 非表示 】
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2025年04月-継続中
秋田大学 情報データ科学部 情報データ科学科 助教
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2016年04月-2025年03月
秋田大学 大学院理工学研究科 数理・電気電子情報学専攻 人間情報工学コース 助教
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2010年04月-2016年03月
秋田大学 大学院工学資源学研究科 情報工学専攻 助教
学会（学術団体）・委員会 【 表示 ／ 非表示 】
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2013年12月-継続中
日本国
IEEE
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2013年06月-継続中
日本国
ACM
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2007年05月-継続中
日本国
農業情報学会
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2003年05月-継続中
日本国
情報処理学会
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1993年03月-継続中
日本国
電子情報通信学会
研究分野 【 表示 ／ 非表示 】
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情報通信 / 情報ネットワーク / IoT, 無線センサネットワーク
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ものづくり技術（機械・電気電子・化学工学） / 通信工学
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情報通信 / 計算機システム
学位論文 【 表示 ／ 非表示 】
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Modeling Indoor Physical Activity for the Elderly Based on Generic Ambient Spatial Sensing
Tomihiro Utsumi
2025年09月 [査読有り]
単著
研究等業績 【 表示 ／ 非表示 】
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Pilot Study on Frailty Detection Using Non-wearable Gait Sensing
Kamozawa H., Yamahira T., Utsumi T., Tanaka M., Kume Y., Saito K.
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING ( The Institute of Electrical Engineers of Japan ) 2025年09月 [査読有り]
研究論文（学術雑誌） 国内共著
To develop a system for early frailty detection, extracting frailty-related parameters through gait sensing using non-wearable sensors was investigated. Gait parameters, such as step length, were obtained using passive infrared sensors and footstep sounds were recorded using a floor-mounted microphone. Fifty-seven subjects were classified into robust, pre-frail, and frail groups based on the Japan Cardiovascular Health Study (J-CHS) criteria, and the parameters were compared across groups to assess their association with frailty. Frailty detection was attempted using the k-nearest-neighbor algorithm with the extracted parameters, resulting in an F1-score of up to 80.4%. These results suggest the feasibility of frailty detection using non-wearable gait sensing.
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Hierarchical geofencing for location-aware generative audio tours
Iori Sasaki, Masatoshi Arikawa, Min Lu, Tomihiro Utsumi, Ryo Sato
Urban Informatics ( Springer Science and Business Media LLC ) 3 ( 1 ) 2024年12月 [査読有り]
研究論文（学術雑誌） 国内共著
Abstract
This study aims to restructure a location-aware audio guide mobile application designed for urban walking tours. Traditional points of interest-based geofencing, which triggers automatic guide delivery as users approach specific locations, struggle to provide continuous and consistent storytelling in areas with limited notable spots, thereby diminishing tourist experiences. To address this challenge, we propose a hierarchical geofencing framework that forms the basis for seamless audio guide experiences through scale-based feature switching and the definition of story serialization rules. In addition, this study proposes geofence-to-conversation techniques utilizing text-to-speech engines and large language models to dynamically adapt guide document resources to dynamic tourists’ movements. A demonstration conducted in a historic urban park area highlighted that the guide generation time in both English and Japanese guide modes is significantly shorter than playback duration, confirming technical feasibility for seamless regional storytelling. Furthermore, we define metrics such as starting time errors, ending time errors, undelivered time to evaluate the real-time performance of location-aware audio guide applications. The experimental results demonstrate effective strategies for geofence configuration and operations, enhancing user experiences in our generative audio tours. This intelligent guide approach, designed for complex urban environments, is expected to enrich tourism and foster regional learning. -
Spatiotemporal Cleaning of PIR Sensor Data for Elderly Movement Monitoring
Utsumi Tomihiro, Arikawa Masatoshi
Electronics (Switzerland) ( Electronics (Switzerland) ) 13 ( 23 ) 2024年12月 [査読有り]
研究論文（学術雑誌） 国内共著
This study presents a robust framework designed to address the limitations of passive infrared (PIR) sensors in home-based elderly monitoring, particularly focusing on false detections and sensor blind times, which compromise data accuracy. While PIR sensors are low-cost and privacy-preserving, their inherent inaccuracies hinder their use in reliable monitoring systems. To overcome these challenges, we propose a novel spatiotemporal data cleaning framework that integrates non-deterministic tracking (NDT) and late-binding adjustment (LBA). This framework enhances the quality and accuracy of sensor data by filtering out false positives and omissions through analysis of walking speed and sensor connectivity. Simulations demonstrated significant improvements in movement tracking accuracy, and real-world experiments involving three elderly participants further validated the framework’s practicality. The experiments confirmed that the proposed method can remove errors such as false positives and false negatives from PIR sensors. It can achieve 90% accuracy in tracking the movements of elderly people, highlighting the potential for this framework to be applied in the real world. The key scientific contribution of this research lies in the development of a scalable, non-wearable indoor tracking solution that reduces the need for dense sensor arrays, making it cost-effective and adaptable to existing infrastructure with minimal modifications. This framework contributes to advancing the field of indoor localization and offers a reliable solution for sensor-based monitoring systems, especially in elderly care, addressing the urgent needs of an aging global population.
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まち歩き向け位置情報サービス改善のためのセンサデータ駆動型ライフサイクルの実証
佐々木 一織, 有川 正俊, Lu Min, 内海 富博, 佐藤 諒
地図 ( 日本地図学会 ) 62 ( 3 ) 1 - 12 2024年09月 [査読有り]
研究論文（学術雑誌） 国内共著
<p>To support the design of walking routes based on tourists’ demand, we have attempted to construct a digital feedback system. This system includes methods for creating pedestrian flow heatmaps for regional resources （discovery of potential tourist resources） and scoring recommended walking routes （quantitative evaluation of current walking routes）. As mobile devices are widely used today, the accumulation of GPS location data can be a feasible way to capture pedestrians’ city-scale movements and visualize people flows in the region at a low cost. However, recording their trajectory frequently and continuously leads to a lack of storage space at high speed and difficulties in identifying popular spots and streets from clusters in the GPS heatmap. This research extends our prior work on GPS trajectory articulation to an experimental study in the development of local tourism. This method employs various mobile sensor data to eliminate points of remaining stationary using acceleration data and abstracts indoor points with GPS horizontal accuracy data, achieving a compact and reliable dataset. Section 2 illustrates the conceptual diagram of our mobile collaborative solution：（A） designers input recommended points of interest and walking paths through the web-based editor；（B） self-guided tour applications collect walkers’ mobile sensor data and transmit their logs after the articulation process；（C） the pedestrian flow reporting system generates spot-level and path-level heatmaps with the semantic filtering （e.g., indoor staying and user content） from the dataset. The reporting system also plots the gaps between the designer’s recommended routes and the actual selection by users, called route scoring. In Section 3, using a local tourism business in Akita City as an example, we verify the superiority of our proposal by comparing （i） tracking data generated by trajectory articulation and （ii） tracking data only by GPS location data from the perspective of reliability and compactness. Finally, Section 4 reports that the introduction of our framework can provide deep insights into the improvement of walking route recommendations.</p>
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Data-Driven Geofencing Design for Point-of-Interest Notifiers Utilizing Genetic Algorithm
Sasaki Iori, Arikawa Masatoshi, Lu Min, Utsumi Tomihiro, Sato Ryo
ISPRS International Journal of Geo-Information ( ISPRS International Journal of Geo-Information ) 13 ( 6 ) 174 - 174 2024年06月 [査読有り]
研究論文（学術雑誌） 国内共著
This study proposes a method for generating geofences driven by GPS trajectory data to realize scalable point-of-interest (POI) notifiers, encouraging walking tourists to discover new local spots. The case study revealed that manual geofence settings degrade the location relevance and user coverage—key objectives of POI notifiers—and hinder the scalability and reliability of services. The formalization presented computationally equips geofence designers with practical solutions through two implementations based on prior GPS trajectory logs: (1) a multiobjective genetic algorithm that suggests cost-effective geofences by providing trade-off visualizations and (2) a user coverage-penalized genetic algorithm that determines an optimal geofence based on the designers’ expectations. The feasibility and stability of the proposed implementations were tested in areas with varying tourist flow patterns. A comparative survey among manual settings, settings incorporating a reliability simulation, and data-driven settings demonstrates significant performance improvements for geofence services.
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Sasaki I., Arikawa M., Lu M., Utsumi T., Sato R.
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives ( International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives ) 48 ( 4/W16-2025 ) 99 - 104 2025年09月 [査読有り]
研究論文（国際会議プロシーディングス） 国内共著
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Eguchi H., Sasaki, I., Lu M., Utsumi T., Sato R., Arikawa M.
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives ( International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives ) 48 ( 4/W16-2025 ) 33 - 38 2025年09月 [査読有り]
研究論文（国際会議プロシーディングス） 国内共著
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Ren Kurosaki, Iori Sasaki, Masatoshi Arikawa, Min Lu, Ryo Sato, Ryoo Fujiwara, Tomihiro Utsumi
Proceedings of the 2024 8th International Conference on Big Data and Internet of Things ( ACM ) 114 - 119 2024年09月 [査読有り]
研究論文（国際会議プロシーディングス） 国内共著
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Generative Live Commentaries Interacting with Geospatial Context for Promoting Local Festivals
Iori Sasaki, Masatoshi Arikawa, Min Lu, Tomihiro Utsumi, Ryo Sato
Proceedings of the 2024 8th International Conference on Big Data and Internet of Things ( ACM ) 125 - 131 2024年09月 [査読有り]
研究論文（国際会議プロシーディングス） 国内共著
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Sasaki Iori, Arikawa Masatoshi, Lu Min, Utsumi Tomihiro, Sato Ryo
MobileHCI 2024 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction ( MobileHCI 2024 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction ) 1 - 5 2024年09月 [査読有り]
研究論文（国際会議プロシーディングス） 国内共著
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インターネットを利用したマルチクライアント型遠隔計測システム
内海富博，山口邦彦
秋田大学工学資源学部研究報告 ( 第25号 ) 15 - 20 2005年03月
研究論文（大学，研究機関紀要） 国内共著
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Javaを用いた遠隔データ収集システム－電気炉の遠隔モニタリングへの応用－
内海，神戸，山口，三浦
秋田大学工学資源学部研究報告 ( 第22号 ) 61 - 65 2002年03月
研究論文（大学，研究機関紀要） 国内共著
◆原著論文【 表示 ／ 非表示 】
◆国際会議プロシーディングス【 表示 ／ 非表示 】
◆⼤学，研究機関紀要【 表示 ／ 非表示 】
科研費（文科省・学振）獲得実績 【 表示 ／ 非表示 】
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非ウェアラブルセンサを用いた屋内身体活動量推定による高齢者用健康状態把握システム
基盤研究(C)
研究期間: 2025年04月 - 2028年03月 代表者: 内海 富博
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消費電力を抑えた長期運用可能なセンサネットワーク構成法
若手研究(B)
研究期間: 2012年04月 - 2014年03月
学会等発表 【 表示 ／ 非表示 】
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Web-Based Ambient Sensing Framework for Non-Intrusive Elderly Monitoring
Tomihiro Utsumi, Masatoshi Arikawa, Motoshi Tanaka, Yu Kume
8th Conference on Cloud and Internet of Things (CIoT2025) 2025年10月 - 2025年10月 IEEE
This study proposes a web-based, real-time monitoring system for elderly individuals, leveraging low-cost, non-wearable ambient sensors to support safe and independent living at home. The system integrates Passive Infrared (PIR) sensors, temperature-humidity-barometric pressure sensors, CO2 sensors, and door proximity sensors. These devices transmit timestamped data to an edge computing unit, which performs local processing and synchronizes with a cloud server. The collected data are visualized through a browser-accessible interface, enabling caregivers and family members to remotely observe patterns of physical activity and indoor environmental conditions without requiring specialized applications. While a previously developed spatiotemporal data cleaning method is employed to enhance data consistency, the primary contribution of this study lies in the practical integration of sensing, processing, and visualization components into a cohesive, scalable framework. Pilot experiments in a mock residential setting confirm the system's feasibility and usability, demonstrating that meaningful behavioral and environmental insights can be derived from simple, unobtrusive sensors. This framework supports privacy-aware, community-based elderly care and contributes to the development of accessible gerontechnology solutions for aging-in-place.
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制限付きAPI 環境下におけるサービスロボットの遠隔制御とユーザ対話の設計
内海富博, 伊東和磨, 有川正俊, ランテンカ, Lu Min, 佐藤諒
2025年度電気関係学会東北支部連合大会 (会津大学) 2025年09月 - 2025年09月
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Geofence-to-Conversation: Hierarchical Geofencing for Augmenting City Walks with Large Language Models
Iori Sasaki, Masatoshi Arikawa, Min Lu, Tomihiro Utsumi, Ryo Sato
The 26th International Conference on Mobile Human-Computer Interaction 2024年09月 - 2024年10月
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Generative Live Commentaries Interacting with Geospatial Context for Promoting Local Festivals
Iori Sasaki, Masatoshi Arikawa, Min Lu, Tomihiro Utsumi, Ryo Sato
2024 8th International Conference on Big Data and Internet of Things 2024年09月 - 2024年09月
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Directional Progress Indicator for Visualizing Off-Screen Point-of-Interest in Handheld Augmented Reality
Ren Kurosaki, Masatoshi Arikawa, Ryoo Fujiwara, Iori Sasaki, Min Lu, Tomihiro Utsumi, Ryo Sato
The 2024 8th International Conference on Big Data and Internet of Things 2024年09月 - 2024年09月 ACM
担当授業科目（学内） 【 表示 ／ 非表示 】
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2021年11月-継続中
組み込みシステムII
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2021年10月-継続中
組み込みシステムI
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2020年12月-継続中
創造工房実習
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2020年04月-継続中
情報工学実験I〜ものづくり基礎実践〜
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2025年12月-継続中
Javaプログラミング
学外の社会活動（高大・地域連携等） 【 表示 ／ 非表示 】
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デジタルアカデミックインターンシップ
2025年08月 -
本荘高等学校 数理探究ゼミ
2023年12月 -
本荘高等学校 数理探究ゼミ
2022年12月 -
大館鳳鳴高等学校 研究室訪問
2022年07月 -
秋田県立本荘高等学校 数理探求ゼミ
2021年12月