安全安心な移動を支援する省電力ウェアラブルデバイス「ネックウェア」の研究開発
This research project develops a new low-power wearable device that monitors and understands the presence, distance, and position of people and objects in front of the user within a few meters, as well as their behavior, using a new type of 3D distance sensor without using any images that may infringe on privacy. The device can be used as a wearable device and aims to support the mobility of visually impaired individuals and real-time situation understanding to avoid the risk of viral infections such as COVID-19. This project aims to realize a new device that supports safe movement for people.
Related Publications
Best Demo Award
Demonstrating Hitonavi-µ: A Novel Wearable LiDAR for Human Activity Recognition
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (MobiCom '22) POSTER/DEMO, pp.756 - 757
Towards intelligent environments: human sensing through 3D point cloud
Journal of Reliable Intelligent Environments, vol. 10, pp. 281–298 (2024)
Fall Detection and Assessment using Multitask Learning and Micro-Sized LiDAR in Elderly Care
EAI MobiQuitous 2023 - 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
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
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)
Object Recognition from 3D Point Cloud on Resource-Constrained Edge Device
The 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022)
船井ベストペーパー賞
可搬型3次元空間センシングデバイスを用いた軽量なリアルタイム物体検出
第21回情報科学技術フォーラム(FIT2022)講演論文集, 2022年9月
軽量可搬型3次元空間センシングデバイスの設計開発
マルチメディア,分散,協調とモバイル (DICOMO2022) シンポジウム論文集 , 2022年7月
On-the-Fly Spatio-Temporal Human Segmentation of 3D Point Cloud Data By Micro-Size LiDAR
In Proceedings of The 18th International Conference on Intelligent Environments (IE2022). IEEE. 2022.
Human Identification Based On Point Cloud Captured By Small-Size LiDAR
研究報告モバイルコンピューティングと新社会システム（MBL）
三次元点群データに基づく着座姿勢推定手法の提案
研究報告モバイルコンピューティングと新社会システム（MBL）
You Work We Care: Sitting Posture Assessment Based on Point Cloud Data
Proceedings of the 2022 IEEE Intertnational Conference on Pervasive Computing and Communications Workshops and other Affiliated Events: Demos, pp.121-124
An Accurate Point Cloud-Based Human Identification Using Micro-Size LiDAR
Proceedings of the 2022 IEEE International Workshop on Pervasive Information Flow Co-located with IEEE PerCom 2022, pp. 569-574
Other Projects
HARVEST: Comprehensive Farming Verification and Early Prediction System Using AI Models
Japan Science and Technology Agency (JST)Moonshot R&D Program AI-ENGAGE
Quad International Joint Research (Advancing Innovations for Empowering NextGen AGriculturE)
Development of Formation Flying Technology for Precise Control of Large-Scale Satellite Swarms
Japan Aerospace Exploration Agency (JAXA)Space Strategy Fund
High-Precision Satellite Formation Flying Technology
Research and Development of Narrow Multi-Beam Forming Technology for Frequency Sharing in Direct Communication between LEO Satellites and Ground Terminals
Ministry of Internal Affairs and Communications (MIC)Research and Development for Radio Resource Expansion
A Platform for Digitalizing Knowledge of Regional Communities
Japan Science and Technology Agency (JST)CREST
「基礎理論とシステム基盤技術の融合によるSociety 5.0のための基盤ソフトウェアの創出」領域
Integrated Sensing and Communication
National Institute of Information and Communications Technology (NICT)Innovative ICT Fund Projects for Beyond 5G/6G
Program for Elemental Technologies and Seeds Creation
セマンティック通信による多端末連携型の状況理解と消防システムへの適用
Ministry of Internal Affairs and Communications (MIC)FORWARD
デジタルインフラ構築部門
LLM-Driven Urban Transportation Simulation Platform
Japan Science and Technology Agency (JST)JST Strategic Basic Research Programs (PRESTO)
[Social Transformation Platform] Co-Creation of the Transformation Platform Technology for Human and Society by Integration of the Humanities and Sciences
Society5.0 ライフデザイン・イノベーション研究
Ministry of Education, Culture, Sports, Science and Technology (MEXT), JapanSociety5.0実現化研究拠点支援事業