Wearable Face Recognition System to Aid Visually Impaired People
Keywords:
Visually impaired, face recognition, wearable system, system, recognitionAbstract
Visually impaired people faces lot of problems in day to day life. Our goal is to make them lead a life which is of security and safety for their own wellbeing. The inability to recognize known individuals in the absence of audio or haptic cues severely restrictions the visually impaired in their social interactions and puts them at risk from a security viewpoint. Different systems have been developed to aid them so; they can help themselves without the help of second person. In recent years, several prototype systems have been developed to aid this people with the face recognition task. Overview of face recognition system is summarized for aiding the blind and low-vision people. In which one system uses a Microsoft Kinect sensor as a wearable device, performs face detection, and also generates a sound associated with the identified person, virtualized at his/her estimated 3-D location.
References
- S. Kef, J. Hox, and H. Habekothe, “Social networks of visually impaired and blind adolescents. Structure and effect on well-being,” Soc. Netw., vol. 22, no. 1, pp. 73–91, 2000.
- Chaitali K. Lakde, Prakash S. Prasad, "Review Paper on Navigation System for Visually Impaired People", International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 1, January 2015.
- X. Yang, S. Yuan, and Y. Tian, “Assistive clothing pattern recognition for visually impaired people,” IEEE Trans. Human-Mach. Syst., vol. 44, no. 2, pp. 234–243, Apr. 2014.
- Xu Liu,” A Camera Phone Based Currency Reader”, University of Maryland, College park,Oct-2008.
- Rabia Jafri1, Syed Abid Ali2, and Hamid R. Arabnia3,” Face Recognition for the Visually Impaired’, Proceedings of the International Conference on Information and Knowledge Engineering (IKE), 2013.
- S. Krishna, G. Little, J. Black, and S. Panchanathan, "A wearable face recognition system for individuals with visual impairments," in Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility, Baltimore, MD, USA, 2005, pp. 106-113.
- Laurindo Britto Neto, Felipe Grijalva, Vanessa Regina Margareth Lima Maike, Luiz C´esar Martini, Dinei Florencio, Maria Cec´ılia Calani Baranauskas, Anderson Rocha, Siome Goldenstein,’’ A Kinect-Based Wearable Face Recognition System to Aid Visually Impaired Users”, IEEE Transactions on Human-Machine Systems, Vol.47,pp-52 – 64,19 September 2016.
- X. Chen, P. J. Flynn, and K.W. Bowyer. PCA-based face recognition in infrared imagery: baseline and comparative studies. IEEE International Workshop on Analysis and Modeling of Faces and Gestures. Pp 127 – 134, Oct 2003.
- F. Ribeiro, D. Florencio, P. Chou, and Z. Zhang, “Auditory augmented reality: Object sonification for the visually impaired,” in Proc. IEEE 14th Int. Workshop Multimedia Signal Process., pp. 319–324, 2012.
- S. Kef, J. Hox, and H. Habekothe, “Social networks of visually impaired and blind adolescents. Structure and effect on well-being,” Soc. Netw., vol. 22, no. 1, pp. 73–91, 2000.
- W. Zhao, R. Chellappa, and A. Rosenfeld. Face Recognition: A Literature Survey. Technical Report CAR-TR948, UMD CfAR, 2000.
- S. Krishna, G. Little, J. Black, and S. Panchanathan, "A wearable face recognition system for individuals with visual impairments," in Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility, Baltimore, MD, USA,pp. 106-113,2005.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.