iSee: Obstacle Detection and Feedback System for the Blind

iSee: Obstacle Detection and Feedback System for the Blind


Publication/Creation Date
September 9 2015
Media Type
Journal Article
Persuasive Intent
Academic
Description
This paper proposes a novel obstacle detection and feedback system iSee based on RGB-D sensor for the blind. Firstly, a fast and robust ground detection method based on multi-scale voxel plane segmentation and geometric constraints is introduced. Secondly, the regions besides the ground area are segmented by region growing. Then an area-division based obstacle detection method is proposed, which combines the analysis of context information. Finally, a multi-level voice feedback strategy is proposed. The experimental results show the proposed system can detect and feedback obstacle information fast and robustly.
HCI Platform
Wearables
Discursive Type
Inventions
Location on Body
Spine Torso, Chest

Date archived
October 31 2015
Last edited
October 7 2019
How to cite this entry
Hong Liu, Jun Wang, Xiangdong Wang, Yueliang Qian. (September 9 2015). "iSee: Obstacle Detection and Feedback System for the Blind ". 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp/ISWC 2015 Adjunct). International Joint Conference On Pervasive And Ubiquitous Computing Adjunct Publication. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/1336