Applications of Neural Networks in Smartphones
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Technology is developing day by day. Nowadays the technology has advanced into an area where the emotions and certain features of human are clubbed together to provide a smooth communication service. The study of neural networks is motivated by their working in biological systems which processes very simple and numerous nerve cells. They work massively in parallel and have the capability to learn and it is one of the most important aspect of these networks. The advancement of smart devices has also led to rapid rise in technology.
Neural networks are a computational system inspired by the Structure Processing, Method Learning Ability of a biological brain. It is an attempt at modeling the information processing capabilities of nervous systems. In this paper we have explained how age can be classified from ocular images using smart phones, BT-Authentication for authenticating user by the body temperature information acquired by the smart watches and use of wearables in medical field.
Keywords
- M. M. M. Hachemi Mechlih, “NEURAL NETWORK BASED MEDICAL DECISION MAKING USING WEARABLE TECHNOLOGY," in IEEE Conference, 2015.
- Yanbo Tao and Huihuan Qian, “A Real-time Intelligent Shoe System for Writing by Foot," in IEEE Conference, 2014.
- G. H. a. B. K. Li Deng, "NEW TYPES OF DEEP NEURAL NETWORK LEARNING FOR SPEECH RECOGNITION AND RELATED APPLICATIONS: AN OVERVIEW," in IEEE Conference, 2014.
- Michael Nielsen, “Neural networks and deep learning," in IEEE Conference, Dec 2017.
- M. C. DL Hudson, "Neural networks and artificial intelligence for biomedical engineering," in Conference, 2000.
- H. T. X Su, “Activity recognition with smartphone sensors," 2014.
- S. C. CA Ronao, "Deep convolutional neural networks for human activity recognition with smartphone sensors," 2015.
- S. D. DJ Cook, “Pervasive and mobile computing," 2015.
- S. D. DJ Cook, "Pervasive and mobile computing," 2007.
- N. R. a. R. D. Ajita Rattani, "Convolutional Neural Network for Age classification from smart phone based ocular images," in IEEE Conference, 2017.
- C. f. S. Timibloudi S, "Smart Watch based Body-Temperature Authentication," in Communications and Network Research, 2015.
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