A Wearable Assistive Device for Blind Pedestrians Using Real-Time Object Detection and Tactile Presentation

Junjie Shen, Yiwen Chen, Hideyuki Sawada*

*この研究の対応する著者

研究成果: Article査読

抄録

Nowadays, improving the traffic safety of visually impaired people is a topic of widespread concern. To help avoid the risks and hazards of road traffic in their daily life, we propose a wearable device using object detection techniques and a novel tactile display made from shape-memory alloy (SMA) actuators. After detecting obstacles in real-time, the tactile display attached to a user’s hands presents different tactile sensations to show the position of the obstacles. To implement the computation-consuming object detection algorithm in a low-memory mobile device, we introduced a slimming compression method to reduce 90% of the redundant structures of the neural network. We also designed a particular driving circuit board that can efficiently drive the SMA-based tactile displays. In addition, we also conducted several experiments to verify our wearable assistive device’s performance. The results of the experiments showed that the subject was able to recognize the left or right position of a stationary obstacle with 96% accuracy and also successfully avoided collisions with moving obstacles by using the wearable assistive device.

本文言語English
論文番号4537
ジャーナルSensors
22
12
DOI
出版ステータスPublished - 2022 6月 1

ASJC Scopus subject areas

  • 分析化学
  • 情報システム
  • 生化学
  • 原子分子物理学および光学
  • 器械工学
  • 電子工学および電気工学

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