International Conference · 2023

iCareLoop: Data Management System for Monitoring Gerontological Social Isolation and Loneliness

Xiayan Ji , Ahhyun Yuh , Hyonyoung Choi , Viktor Erdelyi , Teruhiro Mizumoto , James Weimer , Sean Harrison , George Demiris , Takeshi Nakagawa , Takashi Suehiro , Yasuyuki Gondo , Oleg Sokolsky , Teruo Higashino , Insup Lee

The 14th International Conference on Mobile Computing and Ubiquitous Network (ICMU2023)

DOI: 10.23919/ICMU58504.2023.10412232

Abstract

The COVID-19 pandemic has amplified social isolation and loneliness among the elderly, necessitating robust monitoring solutions. However, the effective management of a multitude of sensors, each with potentially different protocols and unreliable connections, poses a substantial challenge. Additionally, the administration of regular paper-based surveys to elderly individuals can prove problematic due to potential forgetfulness. To address these challenges, we have developed iCareLoop, a comprehensive data collection and management system equipped with an intuitive user interface (UI) specifically designed for the elderly. iCareLoop includes a user-friendly survey application, delivers visualizations of sensor and survey statuses, and features alert mechanisms for missing data, thereby streamlining data management for researchers. The current iteration of iCareLoop integrates initial stakeholder feedback and evaluates user satisfaction. Furthermore, preliminary analysis of the survey and sensor data provides an illustration of the potential uses and data quality of our system. We believe that the insights gleaned from this study can significantly inform future research on mobile elderly care in the post-COVID-19 era.

Environment-Aware Distributed Scheduling for Emergency LoRa Networks

Yuto Inaba, Tatsuya Amano, Akihito Hiromori, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), SPT-IoT 2026, pp. 1366–1371

DOI 10.1109/PerComWorkshops68308.2026.11585469

Disaster CommunicationLoRa +4

A Lightweight Vision-Language Model for Disaster Image Summarization

Hibiki Yoshizaki, Akira Uchiyama, Akihito Hiromori, Mineo Takai, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerconAI 2026, pp. 1203–1208

DOI 10.1109/PerComWorkshops68308.2026.11585419

Semantic CommunicationDisaster Response +4

Physics-Integrated Deep Learning for Urban Landslide Prediction

Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), URBSENSE 2026, pp. 1094–1099

DOI 10.1109/PerComWorkshops68308.2026.11585337

Landslide PredictionPhysics-Integrated Learning +3

A Simulation Framework for Precision Formation Flying of Massive Satellite Swarms

Tatsuya Amano, Akihito Hiromori, Hirozumi Yamaguchi, Sumio Morioka

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerVehicle , pp. 230–235

DOI 10.1109/PerComWorkshops68308.2026.11585321

Satellite Formation FlyingDistributed Simulation +4

Ray-Tracing-Driven Pattern-Based Vehicle Recognition in ISAC Radar

Heetae Jin, Akira Uchiyama

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), PerRad 2026, pp. 328–333

DOI 10.1109/PerComWorkshops68308.2026.11585327

ISACBeyond 5G +4

A Questionnaire-Only Counterfactual Machine Learning Approach to Assess the Spatial Impact of Green Mobility Vehicles in Urban Parks

Rami Naeem, Srikant Manas, Tatsuya Amano, Hirozumi Yamaguchi

ICDCN 2026 Workshop: IWNDSC2026

DOI 10.1145/3737611.3776620