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

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

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Fall Detection and Assessment using Multitask Learning and Micro-Sized LiDAR in Elderly Care

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

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🏆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)

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

🏆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

大河内悠磨, Hamada Rizk, 山口弘純

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

大河内悠磨, Hamada Rizk, 山口弘純

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

Yuma Okochi, Hamada Rizk, and Hirozumi Yamaguchi

In Proceedings of The 18th International Conference on Intelligent Environments (IE2022). IEEE. 2022.

DOI:10.1109/IE54923.2022.9826758

Human Identification Based On Point Cloud Captured By Small-Size LiDAR

Shota Yamada, Hamada Rizk, Hirozumi Yamaguchi

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

片山ひかる,水本旭洋,Hamada Rizk,山口弘純

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

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

An Accurate Point Cloud-Based Human Identification Using Micro-Size LiDAR

Shota Yamada, Hirozumi Yamaguchi and Hamada Rizk

Proceedings of the 2022 IEEE International Workshop on Pervasive Information Flow Co-located with IEEE PerCom 2022, pp. 569-574