|3/2015 - 6|
Automatic Assistant for Better Mobility and Improved Cognition of Partially Sighted PersonsTAPU, R. , MOCANU, B. , ZAHARIA, T.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,707 KB) | Citation | Downloads: 242 | Views: 1,082|
visual impaired navigation assistant, obstacle detection and classification, audio feedback, smartphone device
visually(11), vision(11), impaired(10), system(5), detection(5), blind(5), visual(4), obstacle(4), navigation(4)
No common words between the references section and the paper title.
About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 45 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03006
Web of Science Accession Number: 000360171500006
SCOPUS ID: 84940735074
In these paper we introduce a novel computer vision assistant for autonomous navigation of partially sighted people. We begin by detecting any type of static and dynamic obstacle present in the scene. Then, we introduce an adapted version of HOG (Histogram of Oriented Gradients) descriptor incorporated into the BoVW (Bag of Visual Words) retrieval framework and demonstrate how this combination can be used for obstacle classification. The design is completed with an acoustic feedback that alert user of potential hazards. The audio bone conduction is employed to allow the visually impaired to hear other sounds from the environment. At the hardware level, the system is totally integrated on a smartphone which makes it easy to wear, non-invasive and low-cost.
|References|||||Cited By «-- Click to see who has cited this paper|
| D. Pascolini, S. P. Mariotti, "Global data on visual impairments 2010," World Health Organization, Geneva, 2012.
 B. B. Blasch, W. R. Wiener, and R. L. Welsh, "Foundations of Orientation and Mobility", 2nd New York: American Foundation for the Blind AFB Press, pp. 42-55, 1997.
 C. Shah, M. Bouzit, M. Youssef, and L. Vasquez, "Evaluation of RU-Netra Tactile Feedback Navigation System for the Visually Impaired," International Workshop on Virtual Rehabilitation, pp. 72-77, 2006.
 R. G. Golledge, J. R. Marston, and C. M. Costanzo, "Attitudes of visually impaired persons towards the use of public transportation," Journal of Visually Impairment Blindness, vol. 90, pp. 446-459, 1997.
 A. Rodriguez, J. J. Yebes, P. F. Alcantarilla, L. M. Bergasa, J. Almazan, and A. Cela, "Assisting the visually impaired: obstacle detection and warning system by acoustic feedback," Sensors, vol. 12, pp. 17476-17496, 2012.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 53]
 D. Dakopoulos, N. G. Bourbakis, "Wearable obstacle avoidance electronic travel aids for blind: a survey," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol.40, no.1, pp.25-35, Jan. 2010.
[CrossRef] [Web of Science Times Cited 130] [SCOPUS Times Cited 187]
 J. A. Hesch, S. I. Roumeliotis, "Design and analysis of a portable indoor localization aid for the visually impaired," Journal of Robotics Research, pp. 1400-1415, 2010.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 28]
 J. M. Saez, F. Escolano, and A. Peñalver, "First steps towards stereo based 6DOF SLAM for the visually impaired," IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, pp.23-23, June 2005.
 V. Pradeep, G. Medioni, J. Weiland, "Robot Vision for the Visually Impaired," IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.15-22, June 2010.
[CrossRef] [SCOPUS Times Cited 57]
 J. M. Saez, F. Escolano, "Stereo-Based Aerial Obstacle Detection for the Visually Impaired", In ECCV workshop. on Computer Vision Applications for the Visually Impaired, France 2008.
 J. M. Loomis, R. L. Klatzky, N. A. Giudice, "Sensory substitution of vision: importance of perceptual and cognitive processing", in Assistive Technology for Blindness and Low Vision, Eds. Boca Raton, pp. 161-192, 2013.
 P. B. L. Meijer, "An experimental system for auditory image representations", IEEE Trans. Biomedical Engineering, vol. 39(2), pp. 112-121, 1992.
[CrossRef] [Web of Science Times Cited 251] [SCOPUS Times Cited 385]
 J. L. Gonzalez-Mora, A. Rodriguez-Hernandez, L. F. Rodriguez-Ramos, L. Diaz-Saco, N. Sosa, "Development of a new space perception system for blind people, based on the creation of a virtual acoustic space", Lecture Notes in Computer Science Engineering Applications of Bio-Inspired Artificial Neural Networks, pp. 321-330, 1999.
[CrossRef] [SCOPUS Times Cited 34]
 S. Meers and K. Ward, "A substitute vision system for providing 3D perception and GPS navigation via electro-tactile stimulation," 1st Int. Conf. Sens. Technol., New Zealand, Nov. pp. 21-23, 2005.
 L. A. Johnson and C. M. Higgins, "A navigation aid for the blind using tactile-visual sensory substitution," in Proc. 28th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., pp. 6298-6292, 2006.
[CrossRef] [SCOPUS Times Cited 52]
 D. Dakopoulos and N. Bourbakis, "Preserving visual information in low resolution images during navigation for visually impaired," Proceedings of the 1st International Conference on PErvasive Technologies Related to Assistive Environments, Athens, Greece, pp. 1-6, 2008.
[CrossRef] [SCOPUS Times Cited 20]
 A. Khan, F. Moideen, J. Lopez, W. L. Khoo, Z. Zhu, "KinDetect: Kinect detecting objects", in Computer Helping people with special needs, vol. LNCS7382, pp. 588-595, 2012.
 E. Peng, P. Peursum, L. Li, S. Venkatesh, "A smartphone-based obstacle sensor for the visually impaired", Lecture Notes in Computer Science, Ubiquitous Intelligence and Computing, pp. 590-604, 2010.
[CrossRef] [SCOPUS Times Cited 26]
 R. Manduchi, "Mobile vision as assistive technology for the blind: An experimental study", Proceedings of the 13th International Conference on Computers Helping People with Special Needs, volume 2, pp. 9-16, Austria, 2012.
[CrossRef] [SCOPUS Times Cited 15]
 R. Tapu, T. Zaharia, "Salient object detection based on spatiotemporal attention models," IEEE International Conference on Consumer Electronics (ICCE), pp.39-42, Jan. 2013.
[CrossRef] [SCOPUS Times Cited 2]
 N. Dalal, B. Triggs, "Histograms of oriented gradients for human detection", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.1, pp.886-893, June 2005.
[CrossRef] [SCOPUS Times Cited 10754]
 N. Dalal, B. Triggs, "Object detection using histograms of oriented gradients", in European Conference on Computer Vision, vol. 1, pp 886-893, 2006.
 G. Csurka, C. R. Dance, L. Fan, J. Willamowski, C. Bray, "Visual categorization with bags of keypoints," In Workshop on Statistical Learning in Computer Vision, ECCV, pp. 1-22, 2004.
 S. Tong, E. Chang, "Support Vector Machine Active Learning for Image Retrieval," Proceedings of the Ninth ACM International Conference on Multimedia., pp. 107-118, 2001.
Web of Science® Citations for all references: 443 TCR
SCOPUS® Citations for all references: 11,613 TCR
Web of Science® Average Citations per reference: 18 ACR
SCOPUS® Average Citations per reference: 465 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2017-08-17 22:43 in 102 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.