Social Connectedness Smart Services for Elderly

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-62 Number-1
Year of Publication : 2018
Authors : Dr.Shubhangi D.C, Keertirani
DOI :  10.14445/22315381/IJETT-V62P210


MLA Style: Dr.Shubhangi D.C, Keertirani "Social Connectedness Smart Services for Elderly" International Journal of Engineering Trends and Technology 62.1 (2018): 58-62.

APA Style:Dr.Shubhangi D.C, Keertirani (2018). Social Connectedness Smart Services for Elderly International Journal of Engineering Trends and Technology, 62(1), 58-62.

As attainment older, senior individuals face many challenges in their daily activities like drop their memory capacities, visual abilities and decision abilities, which subsidize to the difficulties about life tuning and social connectedness. This exploration is to strategy an assistive instrument system for senior individuals using emergent expertise in ICT. This structure will construct an insolent environment and advance the communal connectedness for senior folks by providing the purpose required in daily lives of them for remembrances, visuals and decisions. There are four major constituents in the system: Object Detection, Speech Recognition, Time Reminder and Home Automation. The aim of the coordination design is low-cost-high-performance, human-centered. In addition, advanced IoT technologies are used to contrivance the mobile procedure of elderly people. Additionally, the supplementary folks can follow the eminences of their consistent senior individuals by the system.

[1] H.Agrawal, C. Mathialagan, Y. Goyal, N. Chavali, P. Banik, A.Mohapatra, et al., "CloudCV: Large-Scale Distributed Computer Visionas a Cloud Service," in Mobile Cloud Visual Media Computing, G. Huaand X.-S. Hua, Eds., ed: Springer International Publishing, 2015, pp.265-290.
[2] L.Albraheem, R. AlDosari, S. AlKathiri, H. AlMotiry, H. Abahussain,L. AlHammad, et al., "Third Eye: An Eye for the Blind to Identify Objects Using Human-Powered Technology," in Cloud Computing(ICCC), 2015 International Conference on, 2015, pp. 1-6.
[3] D.Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B.Catanzaro, et al., "Deep speech 2: End-to-end speech recognition in english and mandarin," arXiv preprint arXiv:1512.02595, 2015.
[4] B.Ando, S. Baglio, C. O. Lombardo, and V. Marletta, "RESIMA : Adaptive paradigms for the user localization in indoor environments," inInstrumentation and Measurement Technology Conference (I2MTC),2015 IEEE International, 2015, pp. 1024-1029.
[5] B.Ando, S. Baglio, C. O. Lombardo, V. Marletta, E. A. Pergolizzi, and A. Pistorio, "RESIMA: A new WSN based paradigm to assist weak people in indoor environment," in Measurements and NetworkingProceedings (M&N), 2013 IEEE International Workshop on, 2013, pp.206-209.
[6] E.Baker, "Open source data logger for low-cost environmental monitoring," Biodiversity Data Journal, vol. 2, p. e1059, 2014.
[7] G.Bhattacharya, J. Alam, T. Stafylakis, and P. Kenny, "Deep Neural Network based Text-Dependent Speaker Recognition: Preliminary Results," in Odyssey 2016, pp. 9-15.
[8] J.P.Bigham, R. E. Ladner, and Y. Borodin, "The design of human powered access technology," presented at the proceedings of the13th international ACM SIGACCESS conference on Computers and accessibility, Dundee, Scotland, UK, 2011.
[9] J.P.Bigham, C. Jayant, H. Ji, G. Little, A. Miller, R. C. Miller, et al.,"VizWiz: nearly real-time answers to visual questions," presented at the Proceedings of the 23nd annual ACM symposium on User interface software and technology, New York, New York, USA, 2010.
[10] I.Boujelbane, S. H. Said, and T. Zaharia, "Multi-object recognition and tracking with feature points matching and spatial layout consistency," in Consumer Electronics ??? Berlin (ICCE-Berlin), 2014 IEEE FourthInternational Conference on, 2014, pp. 355-359.
[11] E.Brady, M. R. Morris, Y. Zhong, S. White, and J. P. Bigham, "Visual challenges in the everyday lives of blind people," presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Paris, France, 2013.
[12] K.Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares,H. Schwenk, et al., "Learning phrase representations using RNNencoder-decoder for statistical machine translation," arXiv preprintarXiv:1406.1078, 2014.
[13] G.Dahl, D. Yu, L. Deng, and A. Acero, "Context-Dependent Pretrained Deep Neural Networks for Large Vocabulary Speech Recognition," Audio, Speech, and Language Processing, IEEETransactions on, vol. 20, pp. 30 - 42, 2012.
[14] Alencar, L. Machado, L. de Oliveira Neris, and V. de AlmeidaNeris, "Addressing the Users’ Diversity in Ubiquitous Environments through a Low Cost Architecture," in Universal Access in Human-Computer Interaction. Aging and Assistive Environments. vol. 8515, C.Stephanidis and M. Antona, Eds., ed: Springer International Publishing,2014, pp. 439-450.

Android, Object Detection, IOT, Senior Individuals.