An experimental result of estimating an application volume by machine learning techniques
In this study, we improved the usability of smartphones by automating a user’s operations. We developed an intelligent system using machine learning techniques that periodically detects a user’s context on a smartphone. We selected the Android operating system because it has the largest market share...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer International Publishing
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329122/ |
| Summary: | In this study, we improved the usability of smartphones by automating a user’s operations. We developed an intelligent system using machine learning techniques that periodically detects a user’s context on a smartphone. We selected the Android operating system because it has the largest market share and highest flexibility of its development environment. In this paper, we describe an application that automatically adjusts application volume. |
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