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Fadwa Alrowais1, Mona Almofarreh2, Radwa Marzouk3,4
1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
本研究介绍了一种用于协助残疾人 (EPWOD-POAADP) 的增强行人行道物体检测和优化算法,以改善视力受损者导航. 该方法增强了对象检测和分类,以实现更安全的行人步道.
06:25Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
Published on: August 12, 2019
07:52Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
Published on: July 10, 2019
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