Mulfari Davide, Palla Alessandro, Fanucci Luca
Dept. of Information Engineering, University of Pisa, Italy.
Stud Health Technol Inform. 2017;242:396-400.
In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with a camera in order to allow its user to explore the objects within his surrounding environment, while it employs Google TensorFlow machine learning framework in order to real time classify the acquired stills. Therefore the proposed aid can increase the awareness of the explored environment and it interacts with its user by means of audio messages.
在深度学习领域，本文介绍了一种为视障用户设计的可穿戴计算机视觉系统。该辅助技术解决方案利用了功能强大的单板计算机和带有摄像头的智能眼镜，以便让用户能够探索其周围环境中的物体，同时采用谷歌TensorFlow机器学习框架对获取的静止图像进行实时分类。因此，所提出的辅助设备可以提高用户对所探索环境的感知，并通过音频消息与用户进行交互。
