Support system using microsoft kinect and mobile phone for daily activity of visually impaired

Keywords

• audio feedback
• Kinect sensor
• optical character recognition
• Assistive technology
• mobile devices
• navigation aids
• visually impaired assistance
• Object detection

CCDS Authors

Prof. M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

• Founder Director, CCDS
• Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

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6. 6.Ethan Rublee, Vincent Rabaud, Kurt Konolige, Gary Bradski. (2011). ORB: An efficient alternative to SIFT or SURF. , 2564–2571[10.1109/iccv.2011.6126544]
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11. 11.Bruce Poon, M. Ashraful Amin, Hong Yan. (2011). Performance evaluation and comparison of PCA Based human face recognition methods for distorted images. International Journal of Machine Learning and Cybernetics, 2(4), 245–259[10.1007/s13042-011-0023-2]
12. 12.M. ASHRAFUL AMIN, HONG YAN. (2009). AN EMPIRICAL STUDY ON THE CHARACTERISTICS OF GABOR REPRESENTATIONS FOR FACE RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence, 23(03), 401–431[10.1142/s0218001409007181]
13. 13.M. Zahid Hossain, M. Ashraful Amin, Hong Yan. (2011). Rapid feature extraction for Bangla handwritten digit recognition. , 29, 1832–1837[10.1109/icmlc.2011.6017001]
14. 14.S. Mahamud, M. Hebert, Jianbo Shi. (2005). Object recognition using boosted discriminants. , 1, I–551[10.1109/cvpr.2001.990522]
15. 15.Bruce Poon, M. Ashraful Amin, Ehtesham Choudhury, Mahmud Ridwan, Hong Yan. (2014). A Navigational Aid System for Visually Impaired Using Microsoft Kinect. Lecture notes in computer science, 2209(1), 417–422

Cited By

1. 1.Drishty Sobnath, Ikram Ur Rehman, Moustafa M. Nasralla. (2019). Smart Cities to Improve Mobility and Quality of Life of the Visually Impaired. EAI/Springer Innovations in Communication and Computing, 3–28[10.1007/978-3-030-16450-8_1]
2. 2.Moustafa M. Nasralla, Ikram U. Rehman, Drishty Sobnath, Sara Paiva. (2019). Computer Vision and Deep Learning-Enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City. Communications in computer and information science, 91–99[10.1007/978-3-030-29930-9_9]
3. 3.Ricardo Alves, Aldric Negrier, Luís Sousa, João M.F. Rodrigues, Paulo Felisberto, Miguel Gomes, Paulo Bica. (2015). Interactive 180° Rear Projection Public Relations. Procedia Computer Science, 51, 592–601[10.1016/j.procs.2015.05.327]
4. 4.Castillo, Oscar, Huang, Xu, Ao, Sio-Iong, Yang, Gi-Chul. (2014). Transactions on Engineering Technologies. [10.1007/978-94-017-9588-3]
5. 5.João Rodrigues, Ricardo Alves, Luís Sousa, Aldric Negrier, Jânio Monteiro, Pedro Cardoso, Paulo Felisberto, Mauro Figueiredo, Bruno Mendes da Silva, Roberto Lam, Jaime Carvalho Martins, Miguel Gomes, Paulo Bica. (2016). PRHOLO. Advances in human and social aspects of technology book series, 162–187[10.4018/978-1-5225-0435-1.ch007]
6. 6.João Rodrigues, Ricardo Alves, Luís Sousa, Aldric Negrier, Jânio Monteiro, Pedro Cardoso, Paulo Felisberto, Mauro Figueiredo, Bruno Mendes da Silva, Roberto Lam, Jaime Carvalho Martins, Miguel Gomes, Paulo Bica. (2017). PRHOLO. IGI Global eBooks, 156–181[10.4018/978-1-5225-2589-9.ch007]