国際会議 · 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.

災害時LoRaネットワークのための環境認識型分散スケジューリング

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

災害通信LoRa +4

災害現場画像要約のための軽量Vision-Language Model

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

セマンティック通信災害対応 +4

物理モデル統合型深層学習による都市の土砂災害予測

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

土砂災害予測物理モデル統合学習 +3

超大規模衛星群の精密編隊飛行に向けたシミュレーションフレームワーク

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

衛星編隊飛行分散シミュレーション +4

レイトレーシング駆動型ISACレーダによるパターンベース車両認識

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