センシング・通信基盤

Sensing & Communication Foundation

Next-generation communication protocols, frequency sharing technologies, RIS, ultra-high precision positioning

We are working on integrated wireless technology foundations that transcend the boundary between communication and sensing, targeting the Beyond 5G/6G era. Beyond conventional communication infrastructure, we pursue multimodal sensing technologies leveraging radio characteristics—Wi-Fi CSI (Channel State Information), Backscatter, BLE (Bluetooth Low Energy) ranging, and ISAC (Integrated Sensing and Communication) for fusing communication with radar.

We also investigate energy harvesting technologies for sustainable IoT device operation, LPWAN technologies such as LoRa for wide-area low-power communication, and electromagnetic field simulation for antenna design and radio propagation analysis. These foundational technologies underpin the diverse application domains our lab addresses, including smart cities, disaster management, agriculture, and healthcare.

Keywords

Wi-Fi CSIBackscatterBLE rangingISACEnergy harvestingLoRaEM field simulationMultimodal sensingWireless communication

Low-power AI on devices (smartphones, wearables), real-time processing in proximity, offloading technologies

We research computing foundations that adaptively combine lightweight AI inference on terminal devices such as smartphones and wearables (on-device AI), real-time processing at the network edge (edge AI), and cloud offloading. We focus on real-time 3D point cloud processing from LiDAR and cameras, efficient information delivery through semantic communication, and spatial computing technologies supporting AR/VR/XR.

In wearable sensing, we develop technologies to recognize human activities and physiological states from diverse sensor data including accelerometers, gyroscopes, heart rate, and temperature. To achieve high-accuracy inference under limited computational resources and battery constraints, we combine model compression, knowledge distillation, and adaptive processing partitioning to build practical AI systems on edge devices.

Keywords

3D point cloud processingEdge AIWearable sensingSemantic communicationLiDARAR/VR/XROn-device AIEdge devicesFPGA

Recent Related Publications

🏆CS研究会研究会委員長賞

Wi-Fi CSIによる屋内ドローンのプロペラ回転数推定手法の提案

高尾悠太，Erdélyi Viktor，Ho Anh-Van，尾原和也，岸野泰恵，内山彰

電子情報通信学会技術研究報告コミュニケーションシステム研究会, vol.124, no. 416, pp.19-24, 2025年3月

🏆CS研究会研究会委員長賞

Bluetooth Channel Soundingを用いた人の存在検知手法の提案

中田裕也，Erdélyi Viktor，李超然，加藤健志，内山彰

電子情報通信学会技術研究報告コミュニケーションシステム研究会, vol.124, no. 416, pp.13-18, 2025年3月.

🏆Best Demo Award

Demonstrating Hitonavi-µ: A Novel Wearable LiDAR for Human Activity Recognition

Hamada Rizk, Yuma Okochi, Hirozumi Yamaguchi

Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (MobiCom '22) POSTER/DEMO, pp.756 - 757

PDF DOI:10.1145/3495243.3558744

🏆Specially Selected Paper

Anomaly Detection of Building Structure from Incomplete Point Cloud Obtained by UAV

Ayumu Harada, Akihito Hiromori, Hirozumi Yamaguchi

IPSJ Journal of Information Processing (JIP), 65(6), (2024-06-15) , 1882-7764

DOI:10.2197/ipsjjip.32.520

🏆優秀論文賞,優秀プレゼンテーション賞

Point Cloud-based Fall Detection for Healthcare Applications

Shota Yamada, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi

第31回マルチメディア通信と分散処理ワークショップ (DPSWS2023)，第31 回マルチメディア通信と分散処理ワークショップ論文集 (2023)

🏆Specially selected paper

BAAS: Backscatter as a Sensor for Ultra-Low-Power Context Recognition

Yoshihiro Nakagawa, Toru Maeda, Akira Uchiyama, and Teruo Higashino

Journal of Information Processing, Vol. 30, pp.130-139, 2022

Environment-Aware Probabilistic 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

A Teaching Assistant for Teacher-Student Learning: Knowledge Transfer from Skeleton to Inertial Sensing for Activity Recognition in Industrial Domains

Hongyin Qiao, Qingxin Xia, Hamada Rizk, Takuya Maekawa

2026 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 35–45

Raydar: A Ray-Tracing-Driven Framework Enabling Pattern-Based 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

Wearable-Based Body Core Temperature Estimation Using a Precise Whole-Body Voxel Human Model

Kaori Hirano, Hiroki Kudo, Satoshi Kuwano, Yasushi Senda, Yoshihiro Marutani, Tetsuji Adachi, Ryosuke Hasegawa, Teruki Yokoyama, Ken Nakata, Akira Uchiyama

2025 IEEE Annual Congress on Artificial Intelligence of Things (AIoT)

DOI:10.1109/AIoT66900.2025.00110

Smart City & Building

We pursue people-flow digital twins, urban digital twins, smart buildings, and smart homes to realize comprehensive well-being and sustainable urban environments.

Smart Mobility & Transportation

We research data-driven technologies, including transportation and urban digital twins, that optimize the movement of people and goods in a safe, comfortable, and efficient manner.

Disaster Management & Resilience

Working toward building resilient societies, we develop information and communication technologies for disaster prevention and mitigation, as well as efficient situational awareness, aiming to achieve socially equitable disaster preparedness that leaves no one behind.

Smart Agriculture & Primary Industry

We research smart agriculture technologies that introduce digital twins, IoT, and AI to farming and primary industries, enabling field environment visualization, crop growth prediction, and operational efficiency.

Space & Satellite Technologies

We are developing control algorithms for distributed satellite systems where multiple small satellites operate cooperatively, along with efficient inter-satellite communication protocols and flight formation technologies.

Intelligent Environment & Wireless Sensing

We aim to create intelligent environments where physical spaces themselves possess "intelligence" and can sense and respond to human needs and behaviors. Our research and development includes wireless/radio-based human sensing and privacy-conscious three-dimensional remote space sharing systems.