Changing Mobile Data Analysis through Deep Learning
Panagiotis Kasnesis, Charalampos Z. Patrikakis, Iakovos S. Venieris · IT Professional · 2017
Situational and context awareness are becoming more and more important on the road toward intelligent machines and devices that can offer a comprehensive toolset for improving quality of life. The increased computational capacity of personal and smart devices, and their constantly increasing capabilities for sensing, allow a large amount of collected data to be stored, processed, and transmitted over mobile devices and networks. Consequently, fast processing and analysis of this mobile data is becoming a big challenge. In this article, the authors present common mobile context-aware applications and reference current mobile data analysis practices and approaches. They then propose using deep learning to analyze sensor data from mobile devices and discuss open issues related to this approach.