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

Light-weight Object Detection of 3-D Point Cloud Data by Micro-size LiDAR

Best Demo Award

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

DOI 10.1145/3495243.3558744

3D point cloudobject detection +2

Video-based Human Tracking Robust to Dynamic Camera Position and Orientation Changes

Best Short Paper Award

Naoya Takahashi, Tatsuya Amano, Hirozumi Yamaguchi

2023 19th International Conference on Intelligent Environments (IE), Uniciti, Mauritius, 2023, pp. 1-4

DOI 10.1109/IE57519.2023.10179092

ARPerson Re-ID +1

Indoor Drone Propeller Speed Estimation Using Wi-Fi CSI

Yuta Takao, Viktor Erdelyi, Kazuya Ohara, Yasue Kishino, Anh-Van Ho, Akira Uchiyama

The 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2025)

WiFi CSIDrone

Metasurface-enabled multifunctional single-frequency sensors without external power

Masaya Tashiro, Kosuke Ide, Kosei Asano, Satoshi Ishii, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

NPG Asia Materials, Vol. 16, Article Number 55, 2024.

DOI 10.1038/s41427-024-00574-4

Investigation of Core Body Temperature Estimation Based on Facial Surface Temperature Using Thermography

平野華織, 工藤寛樹, 内山彰, 桑野聡, 千田泰史, 丸谷賢弘, 長谷川凌佑, 横山光樹, 中田研

マルチメディア,分散,協調とモバイル (DICOMO2024) シンポジウム論文集 , 2024年6月,pp. 1297-1303

Core Body Temperature EstimationFeature Selection +4

Architecture, Performance, and Usability of Mobile Cellular Network Monitoring Applications for Data-Driven Analysis

Srikant Manas Kala; Malvika Mishra; Amogh Biju; Vanlin Sathya; Tatsuya Amano; Teruo Higashino; Hirozumi Yamaguchi; Bheemarjuna Reddy Tamma

IEEE Access, vol. 12, pp. 88426-88444, 2024,

DOI 10.1109/ACCESS.2024.3412752

Cellular Operator Data Meets Counterfactual Machine Learning

Srikant Manas Kala; Malvika Mishra; Vanlin Sathya; Tatsuya Amano; Monisha Ghosh; Teruo Higashino; Hirozumi Yamaguchi

IEEE Access, vol. 12, pp. 64633-64653, 2024

DOI 10.1109/ACCESS.2024.3394312

Performance Evaluation of Angle of Arrival Estimation by MUSIC Method Using Backscatter Tags

Yudai Yamaguchi, Viktor Erdelyi, Akira Uchiyama, Teruo Higashino

1st International Workshop on Pervasive Wireless Sensing and Edge Computing (WiSense 2024)

DOI 10.1109/PerComWorkshops59983.2024.10503126

BackscatterWi-Fi

Point Cloud-based Fall Detection for Healthcare Applications

Shota Yamada, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi

EAI MobiQuitous 2023 - 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

DOI 10.1007/978-3-031-63992-0_19

Fall DetectionPrivacy Preservation +1

Person Identification Method Based on 3D Point Cloud Using Small Depth Sensor

Shota Yamada, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi

EAI MobiQuitous 2023 - 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

DOI 10.1007/978-3-031-63992-0_19

human identification3D point cloud +1

Energy-Free Sensing and Context Recognition through Photovoltaic Cells

Kaede Shintani, Hamada Rizk and Hirozumi Yamaguchi

The 21st International Conference on Pervasive Computing and Communications (PerCom 2023) Demo

Step countingLocalization +3

Activity Recognition Using CSI Backscatter with Commodity Wi-Fi

Viktor Erdelyi, Kazuki Miyao, Akira Uchiyama, Tomoki Murakami

The 21st International Conference on Pervasive Computing and Communications (PerCom 2023) WiP

BackscatterActivity Recognition +3

Metasurface-inspired maintenance-free Internet of things tags characterised in both frequency and time domains

Masaya Tashiro, Ashif Aminulloh Fathnan, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

Electronics Letters Vol. 58, No. 25, pp.937-939, 2022.

DOI 10.1049/ell2.12676

Object Recognition from 3D Point Cloud on Resource-Constrained Edge Device

Yuma Okochi, Hamada Rizk, Tatsuya Amano and Hirozumi Yamaguchi

The 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022)

DOI 10.1109/WiMob55322.2022.9941552

Smartwatch-based Face-touch Prediction Using Deep Representational Learning

Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi, Moustafa Youssef

IEEE Sensors Journal, vol. 22, no. 13, pp. 13125-13135, 1 July1, 2022, doi: 10.1109/JSEN.2022.3176291.

Face-touchActivity Recognition +1

3D Point Cloud-Based Sitting Posture Recognition Using Deep Learning

Hikaru Katayama, Teruhiro Mizumoto, Hamada Rizk and Hirozumi Yamaguchi

Proceedings of the 2022 IEEE Intertnational Conference on Pervasive Computing and Communications Workshops and other Affiliated Events: Demos, pp.121-124

sitting postureobject detection +2

Backscatter Tag Detection Method Using Sinusoidal Frames towards Wi-Fi Sensing

Wi-Fi SensingBackscatter

Operator Data Driven Cell-Selection in LTE-LAA Coexistence Networks

Srikant Manas Kala, Vanlin Sathya, Eitaro Yamatsuta, Hirozumi Yamaguchi, Teruo Higashino

International Conference on Distributed Computing and Networking 2021 (ICDCN 2021)

DOI 10.1145/3427796.3427818

LTE-LAAcell-selection

Mobile Health System using Facial Image for Assessment of Work Engagement, Recovery and Reattachment

Recovery EstimationSmart Toothbrush

Reliability Estimation of Heart Rate Measurement Using Wrist-Worn Devices

Masayuki Hayashi, Hiroki Yoshikawa, Akira Uchiyama, Teruo Higashino

Proceedings of the 8th EAI International Conference on Wireless Mobile Communication and Healthcare, November 2019

Heart rateReliability +2

Identification of Conductive Tags Based on Radio Reflection Patterns Using LSTM

Target IdentificationWi-Fi Imaging +2

Dynamic Offset Correction for Smartphone Thermal Cameras Using a Wristband Sensor

Hiroki Yoshikawa, Akira Uchiyama and Teruo Higashino

Sensors, vol. 19, issue. 18, pp. 3826, September 2019

Thermal cameraSmartphone +2

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.