@inproceedings{4afd346a6bd34a6f9fecfdf828b6ce92,
title = "The Prosthetic Hand Can Grasp Occluded Objects with the Help of 3rd-Eye Based on Artificial Vision and AR Technology",
abstract = "Grasping occluded objects is a large challenge for hand amputees because of the hand's perception loss. This paper proposed an alternative approach based on artificial vision and augmented reality technology, termed 3rd-Eye, to solve the problem. In detail, a live stream of an RGB camera attached to the prosthetic hand was presented to the user who wore an augmented reality helmet, HoloLens 2. The 3rd-Eye was integrated into a hybrid control prosthetic system (i-MYO proposed in our previous work). It was tested in a special reach-And-grasp experiment where the subject needed to grasp an occluded object in cluttered environments (one to six objects in total) using the prosthetic hand. The new approach has achieved satisfactory results (success rate: 100\% in all).",
keywords = "Prosthetic hand, augmented reality, computer vision",
author = "Chunyuan Shi and Jingdong Zhao",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 1st International Conference on Artificial Intelligence and Human-Computer Interaction, ArtInHCI 2023 ; Conference date: 27-10-2023 Through 29-10-2023",
year = "2024",
month = mar,
day = "18",
doi = "10.3233/FAIA240166",
language = "英语",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "306--313",
editor = "Yalan Ye and Patrick Siarry",
booktitle = "Artificial Intelligence and Human-Computer Interaction - Proceedings of the 1st International Conference, ArtInHCI 2023",
address = "荷兰",
}