Development of Low-Power Wearable Device “Neckwear” for Supporting Safe and Secure Mobility
Purpose of Research and Development
This research aims to develop a new low-power wearable device that monitors the presence, distance, and positional relationship of people and objects within a few meters in front using a new 3D distance sensor without using any images that might violate privacy. The device is designed to be wearable and provides mobility support for visually impaired individuals and real-time situational understanding to avoid virus infection risks such as COVID-19. The goal is to realize a new device that supports safe mobility for people.
Overview of Research and Development
The project involved designing and developing a small device called Hitonaviμ. This device includes a small 3D distance sensor, an inertial sensor, a microcontroller board, a rechargeable battery, and control circuits for these modules. It captures the shape of people and objects as 3D point clouds, performs segmentation and object recognition, and obtains positional data of surrounding people and objects. By using lightweight algorithms and machine learning, the device can perform position estimation and object recognition quickly even on the device itself. Experiments achieved over 90% object recognition accuracy in a stationary state and over 80% when worn on the waist.
PI: Hirozumi Yamaguchi (Osaka University)
Period: December 1, 2020 – March 31, 2023
Team members:
- Hamada Rizk (Research Member)
- Yuma Okochi (Master Student)
- Shota Yamada (Master Student)
Academic Papers and Conference Presentations
| No. | Title | Authors | Journal/Conference | DOI | Volume, Issue, Pages |
|---|---|---|---|---|---|
| 1 | Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs | Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi | IEEE International Conference on Pervasive Computing and Communications (PerCom 2023) | 10.1109/PERCOM56429.2023.10099061 | pp.43-52 |
| 2 | Object Recognition from 3D Point Cloud on Resource-Constrained Edge Device | Yuma Okochi, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi | 18th IEEE International Conference on Wireless and Mobile Computing Networking and Communications (IEEE WiMob2022) | 10.1109/WiMob55322.2022.9941552 | pp.374-379 |
Exhibition Participation
| No. | Exhibition Name | Date | Exhibitor |
|---|---|---|---|
| 1 | JST New Technology Presentation | November 2022 | Hirozumi Yamaguchi |
| 2 | Innovation Japan 2022 Poster Exhibition | November 2022 | Hirozumi Yamaguchi |
Awards
| No. | Award Name | Institution | Date | Recipients |
|---|---|---|---|---|
| 1 | FIT Funai Best Paper Award | Information Processing Society of Japan and Institute of Electronics, Information and Communication Engineers | September 2022 | Yuma Okochi, Hamada Rizk, Hirozumi Yamaguchi |
| 2 | Best Demo Award at MobiCom ’22 | ACM | October 2022 | Hamada Rizk, Yuma Okochi, Hirozumi Yamaguchi |
| 3 | IPSJ Journal Selected Paper Award | Information Processing Society of Japan | August 2022 | Riki Ukyo, Tatsuya Amano, Satoshi Hiromori, Hirozumi Yamaguchi, Teruo Higashino |
| 4 | Outstanding Presentation Award at Multimedia, Distributed, Cooperative, and Mobile Symposium 2022 | Information Processing Society of Japan | July 2022 | Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi |
| 5 | Young Researcher Award at Multimedia, Distributed, Cooperative, and Mobile Symposium 2022 | Information Processing Society of Japan | July 2022 | Yuma Okochi, Hamada Rizk, Hirozumi Yamaguchi |
