Details of a Researcher - UTSUMI Tomihiro

2025.04

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Now

Akita University Faculty of Informatics and Data Science Department of Informatics and Data Science Assistant Professor
2016.04

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2025.03

Akita University Graduate School of Engineering Science Department of Mathematical Science and Electrical-Electronic-Computer Engineering Human-Centered Computing Course Assistant Professor
2010.04

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2016.03

Akita University Graduate School of Engineering and Resource Science Department of Computer Science and Engineering Assistant Professor

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Academic Society Affiliations 【 display / non-display 】

2003.05

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Now

Japan

IPSJ (Information Processing Society of Japan)
1993.03

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Now

Japan

IEICE (The Institute of Electronics, Information and Communication Engineers)

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Research Areas 【 display / non-display 】

Informatics / Information network / IoT, Wireless sensor networks
Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Communication and network engineering
Informatics / Computer system

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Thesis for a degree 【 display / non-display 】

Modeling Indoor Physical Activity for the Elderly Based on Generic Ambient Spatial Sensing

Tomihiro Utsumi

2025.09 [Refereed]

Single author

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Research Achievements 【 display / non-display 】

◆Original paper【 display / non-display 】

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 ) 2025.09 [Refereed]

Research paper (journal) Domestic Co-author

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.

DOI

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 ) 2024.12 [Refereed]

Research paper (journal) Domestic Co-author

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.

DOI

Spatiotemporal Cleaning of PIR Sensor Data for Elderly Movement Monitoring

Utsumi Tomihiro, Arikawa Masatoshi

Electronics (Switzerland) ( Electronics (Switzerland) ) 13 ( 23 ) 2024.12 [Refereed]

Research paper (journal) Domestic Co-author

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.

DOI

Verification of Sensor Data-Driven Lifecycle for Improvement of Location-Based Services in Walking Tourism

SASAKI Iori, ARIKAWA Masatoshi, Min LU, UTSUMI Tomihiro, SATO Ryo

Map, Journal of the Japan Cartographers Association ( Japan Cartographers Association ) 62 ( 3 ) 1 - 12 2024.09 [Refereed]

Research paper (journal) Domestic Co-author

DOI CiNii Research

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 2024.06 [Refereed]

Research paper (journal) Domestic Co-author

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.

DOI

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◆International conference proceedings【 display / non-display 】

Activating Location-Based Storytelling in a City: Geofence Identification from Crowdsourced Mobile Sensing

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 2025.09 [Refereed]