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2020 | OriginalPaper | Buchkapitel

7. Virtual Vision Architecture for VIP in Ubiquitous Computing

verfasst von : Soubraylu Sivakumar, Ratnavel Rajalakshmi, Kolla Bhanu Prakash, Baskaran Rajesh Kanna, Chinnasamy Karthikeyan

Erschienen in: Technological Trends in Improved Mobility of the Visually Impaired

Verlag: Springer International Publishing

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Abstract

Visually Impaired People (VIP) have to move in the highly dense society alone. In real world situation, they have to overcome more obstacles, hurdles and traffic while they navigate indoor and outdoor. Even more sophisticated technology cannot help those people for their convenience navigation and utility. The virtual vision architecture is composed of different subsystem. This architecture includes Head Obstacle Detection system, Tail Obstacle Detection system (TOD), Positioning and Location System, Alerting and Notification System, Information Management System (IMS) and Speech Recognizer Engine. IMS consists of Selenium web driver that is used to retrieve the latest information from various web servers. It is a newly proposed method to communicate with the existing web server. A TOD system is capable of monitoring the moving objects that comes behind the VIP. The proposed idea includes three methods for calculating the distance of the moving object. The speed is calculated from the distance. Based on the speed, the walking direction of the VIP is adjusted to avoid an accident.

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Vorheriges Kapitel Cloud Video Guidance as “Deus ex Machina” for the Visually Impaired

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https://www.microsoft.com/en-us/download/details.aspx?id=54765

https://ai.stanford.edu/~jkrause/cars/car_dataset.html

https://github.com/ankitrhode/Dogs-vs-Cats-Image-Classification

AlAbri, H. A., AlWesti, A. M., AlMaawali, M. A., & AlShidhani, A. A. (2014). NavEye: Smart guide for blind students. In Systems and Information Engineering Design Symposium (SIEDS-IEEE), (pp. 141–146). https://doi.org/10.1109/SIEDS.2014.6829872

Baig, M. M., & Gholamhosseini, H. (2013). Smart health monitoring systems: An overview of design and modeling. Journal of Medical Systems, 37, 9898. https://doi.org/10.1007/s10916-012-9898-z.CrossRef

Carlson, R., & Granström, B. (1986). A search for durational rules in a real-speech data base. Phonetica, 43, 140–154. https://doi.org/10.1159/000261766.CrossRef

Chaudary, B., Paajala, I., Keino, E., & Pulli, P. (2016). Tele-guidance based navigation system for the visually impaired and blind persons. In K. Giokas, L. Bokor, & F. Hopfgartner (Eds.), eHealth 360° (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering) (Vol. 181, pp. 9–16). Cham: Springer. https://doi.org/10.1007/978-3-319-49655-9_2.CrossRef

Chen, A. Q., & Goh, W. (2015). Two factor authentication made easy. In International Conference on Web Engineering (pp. 449–458). New York: Springer. https://doi.org/10.1007/978-3-319-19890-3_29.CrossRef

Chung, I. Y., Kim, S., & Rhee, K. H. (2014). The smart cane utilizing a smart phone for the visually impaired person. In 3rd Global Conference on Consumer Electronics (GCCE-IEEE) (pp. 106–107). https://doi.org/10.1109/GCCE.2014.7031333

Eldefrawy, M. H., Alghathbar, K., & Khan, M. K. (2011). OTP-based two-factor authentication using mobile phones. In Eighth International Conference on Information Technology: New Generations (IEEE), (pp. 327–331). https://doi.org/10.1109/ITNG. 2011.64

Elson, J., Douceur, J. R., Howell, J., & Saul, J. (2007). Asirra: A CAPTCHA that exploits interest-aligned manual image categorization. In Proceedings of 14th ACM Conference on Computer and Communications Security (CCS). New York, NY: Association for Computing Machinery, Inc. https://doi.org/10.1145/1315245.1315291.CrossRef

Fukushima, K. (1980). Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4), 93–202. https://doi.org/10.1007/BF00344251.CrossRefMATH

Gao, M., Hu, X., Cao, B., & Li, D. (2014). Fingerprint sensors in mobile devices. In 9th IEEE Conference on Industrial Electronics and Applications (IEEE) (pp. 1437–1440). https://doi.org/10.1109/ICIEA.2014.6931 394

Gazdar, G., & Mellish, C. S. (1990). Natural language processing in Lisp: An introduction to computational linguistics (Computational Linguistics) (Vol. 16(2)). Boston, MA: Addison-Wesley Longman Publishing Co.

Ghidini, E., Almeida, W. D. L., Manssour, I. H., & Silveira, M. S. (2016). Developing apps for visually impaired people: Lessons learned from practice. In 49th Hawaii International Conference on System Sciences (IEEE) (pp. 5691–5700). https://doi.org/10.1109/HICSS.2016.704

Huang, X. D., Acero, A., & Hon, H. (2001). Spoken language processing—A guide to theory, algorithms, and system development. Upper Saddle River, NJ: Prentice Hall.

Jackson, C. L., Konopka, J. B., & Hartwell, L. H. (1991). S. cerevisiae alpha pheromone receptors activate a novel signal transduction pathway for mating partner discrimination. Cell, 67(2), 389–402. https://doi.org/10.1016/0092-8674(91)90190-A.CrossRef

Karthikeyan, C., & Ramadoss, B. (2014). Non linear fusion technique based on dual tree complex wavelet transform. International Journal of Applied Engineering Research, 9(22), 13375–13385. https://www.ripublication.com/Volume/ijaerv9n22.htm.

Karthikeyan, C., & Ramadoss, B. (2015). Fusion of medical images using mutual information and intensity based image registration schemes. ARPN Journal of Engineering and Applied Sciences, 10(8), 3561–3565. http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0515_1962.pdf.

Karthikeyan, C., & Ramadoss, B. (2016). Comparative analysis of similarity measure performance for multimodality image fusion using DTCWT and SOFM with various medical image fusion techniques. Indian Journal of Science and Technology, 9(22). https://doi.org/10.17485/ijst/2016/v9i22/95298.

Karthikeyan, C., Ramadoss, B., & Baskar, S. (2011). Segmentation algorithm for CT images using morphological operation and artificial neural network. International Journal of Computer Theory and Engineering, 3(4), 561–564. https://doi.org/10.7763/IJCTE.2011.V3.370.CrossRef

Kasper, K., & Reininger, H. (1999). Evaluation of pemo in robust speech recognition. The Journal of the Acoustical Society of America, 104(2), 1175. https://doi.org/10.1121/1.425502.CrossRef

Kato, M., & Hirata, K. (2017). Dynamic characteristics of linear resonant actuator using electrical resonance. In Conference on Electromagnetic Field Computation (CEFC-IEEE) (p. 1). https://doi.org/10.1109/CEFC.2016.7815963

Kingma, D. P., & Ba, J. L. (2015). Adam: A method for stochastic optimization. In International Conference on Learning Representations (pp. 1–13). https://arxiv.org/abs/1412.6980

Krause, J., Stark, M., Deng, J., & Fei-Fei, L. (2013). 3D object representations for fine-grained categorization. In 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13), Sydney, Australia. https://doi.org/10.1109/ICCVW.2013.77

Lee, J.-H., Kim, K., Lee, S.-C., & Shin, B.-S. (2013). Smart backpack for visually impaired person. In International Conference on ICT for Smart Society (IEEE) (pp. 1–4). https://doi.org/10.1109/ICTSS.2013.6588057

Li, Z., Pundlik, S., & Luo, G. (2013). Stabilization of magnified videos on a mobile device for visually impaired. In IEEE Conference on Computer Vision and Pattern Recognition Workshops. https://doi.org/10.1109/CVPRW.2013.15

Machida, E., Cao, M., Murao, T., & Hashimoto, H. (2012). Human motion tracking of mobile robot with Kinect 3D sensor. In Proceedings of the SICE Annual Conference (IEEE) (pp. 2207–2211). https://ieeexplore.ieee.org/document/6318381

McTear, M. F. (2004). Components of a spoken dialogue system—Speech input and output. In Spoken dialogue technology (pp. 79–105). London: Springer. https://doi.org/10.1007/978-0-85729-414-2_5.CrossRef

Prakash, K. B., & Dorai Rangaswamy, M. A. (2016a). Content extraction of biological datasets using soft computing techniques. Journal of Medical Imaging and Health Informatics, 6, 932–936. http://www.aspbs.com/jmihi/contents_jmihi2016.htm.CrossRef

Prakash, K. B., & Dorai Rangaswamy, M. A. (2016b). Content extraction studies using neural network and attribute generation. Indian Journal of Science and Technology, 9(22), 1–10. https://doi.org/10.17485/ijst/2016/v9i22/95165.CrossRef

Prakash, K. B., & RajaRaman, A. (2016). Mining of bilingual Indian Web documents. Procedia Computer Science, 89, 514–520. https://doi.org/10.1016/j.procs.2016.06.103.CrossRef

Prudtipongpun, V., Buakeaw, W., Rattanapongsen, T., & Sivaraksa, M. (2015). Indoor navigation system for vision-impaired individual: An application on android devices. In International Conference on Signal-Image Technology & Internet-Based Systems (SITIS-IEEE) (pp. 633–638. https://doi.org/10.1109/SITIS.2015.66

Rajalakshmi, R., & Agrawal, R. (2017). Borrowing likeliness ranking based on relevance factor. In Fourth ACM IKDD Conference on Data Science (ACM), (pp. 1–2). https://doi.org/10.1145/3041823.3067694

Rajalakshmi, R., & Aravindan, C. (2011). Naive Bayes approach for website classification. In International Conference on Advances in Information Technology and Mobile Communication (pp. 323–326). New York: Springer. https://doi.org/10.1007/978-3-642-20573-6_55.CrossRef

Rajalakshmi, R., & Aravindan, C. (2013). Web page classification using n-gram based URL features. In Fifth International Conference on Advanced Computing (ICoAC-IEEE) (pp. 15–21). https://doi.org/10.1109/ICoAC.2013.6921920

Ramani, S. V., & Tank, Y. N. (2014). Indoor navigation on Google Maps and indoor localization using RSS Fingerprinting. International Journal of Engineering Trends and Technology, 11(4), 171–173. https://doi.org/10.14445/22315381/IJETT-V11P234.CrossRef

Ramya, P., Sindhura, V., & Vidya Sagar, P. (2017). Testing using selenium web driver. In Second International Conference on Electrical, Computer and Communication Technologies (ICECCT-IEEE) (pp. 1–7). https://doi.org/10.1109/ICECCT.2017.8117878

Rodríguez, J., Goñi, A., & Illarramendi, A. (2003). Capturing, analysing, and managing ECG sensor data in handheld devices. In OTM Confederated International Conferences On the Move to Meaningful Internet Systems (pp. 1133–1150). Cham: Springer. https://doi.org/10.1007/978-3-540-39964-3_73.CrossRef

Sivakumar, S., Arun, P., Lokeshvarma, R., & Krishnakumar, P. (2015). Android based traffic updates. International Journal of Scientific Research in Science, 1(1), 161–164.

Sivakumar, S., Brindha, S., Deepalakshmi, D., Dhivya, T., Arul, U., & Nattar Kannan, K. (2017). ISCAP: Intelligent and smart cryptosystem in android phone. In International Conference on Power and Embedded Drive Control (ICPEDC-IEEE), (pp. 453–458). https://doi.org/10.1109/ICPEDC.2017. 8081132

Sivakumar, S., Jennifer, J., Marrison, M. N., Seetha, J., & Sathish Saravanan, P. (2017). DMMRA: Dynamic medical machine for rural areas. In International Conference On Power And Embedded Drive Control (ICPEDC-IEEE) (pp. 467–471). https://doi.org/10.1109/ICPEDC.2017.80811 35

Sivakumar, S., Kamatchi, K., Sangeetha, R., Subha, V., & Ramachandran, R. (2017). D2CMUS: Detritus to Cinder conversion and managing through ultrasonic sensor. In Third International Conference on Science Technology Engineering & Management (ICONSTEM-IEEE) (pp. 38–43). https://doi.org/10.1109/ICONSTEM.2017.8261254

Sivakumar, S., Kasthuri, R., Nivetha, B., Shabana, S., & Veluchamy, M. (2017). Smart device for visually impaired people. In Third International Conference on Science Technology Engineering & Management (ICONSTEM-IEEE) (pp. 54–59). https://doi.org/10.1109/ICONSTEM.2017.8261257

Sivakumar, S., & Rajalakshmi, R. (2017). Comparative evaluation of various feature weighting methods on movie reviews. In International Conference on Computational Intelligence in Data Mining. New York, NY: Springer. https://doi.org/10.1007/978-981-10-8055-5_64.CrossRef

Sivakumar, S., Saranu, P. N., Abirami, G., RameshKumar, M., Arul, U., & Seetha, J. (2018). Theft detection system using PIR sensor. In 4th International Conference on Electrical Energy Systems (IEEE), (pp. 321–324). https://doi.org/10.1109/ICEES.2018.8443215

Sivakumar, S., Thirumalai Raj, R., & Sanjay, S. (2016). Digital license mv. In International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET-IEEE) (pp. 1277–1280). https://doi.org/10.1109/WiSPNET.2016.7566342

Tahir, A. S. (2015). Design and implementation of RSA algorithm using FPGA. International Journal of Computers & Technology, 14(12), 6361–6367. https://doi.org/10.24297/ijct.v14i12.1737.CrossRef

Van Den Bosch, A., & Daelemans, W. (1993). Data-oriented methods for grapheme-to-phoneme conversion. In ACL Anthology-A Digital Archive of Research Papers in Computational Linguistics (pp. 1–9). https://doi.org/10.3115/976744.976751

Van Noord, G., Bouma, G., Koeling, R., & Nederhof, M. J. (1999). Robust grammatical analysis for spoken dialogue systems. Natural Language Engineering, 5(1), 45–93. https://doi.org/10.1017/S1351324999002156.CrossRef

Varadan, V. K., & Varadan, V. V. (2000). Wireless MEMS-IDT based accelerometer and gyroscope in a single chip. Smart Materials Bulletin, 2000(12), 9–13. https://doi.org/10.1117/12.436591.CrossRef

Zang, F., & Zhang, J.-S. (2011). Softmax discriminant classifier. In Third International Conference on Multimedia Information Networking and Security (IEEE) (pp. 16–19). https://doi.org/10.1109/MINES.2011.123

Zhou, D., Yang, Y., & Yan, H. (2016). A smart “virtual eye” mobile system for the visually impaired. IEEE Potentials, 35, 13–20. https://doi.org/10.1109/MPOT.2015.2501406.CrossRef

Titel: Virtual Vision Architecture for VIP in Ubiquitous Computing
verfasst von: Soubraylu Sivakumar
Ratnavel Rajalakshmi
Kolla Bhanu Prakash
Baskaran Rajesh Kanna
Chinnasamy Karthikeyan
Verlag: Springer International Publishing
Buch: Technological Trends in Improved Mobility of the Visually Impaired
Print ISBN: 978-3-030-16449-2

Electronic ISBN: 978-3-030-16450-8

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-16450-8_7

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