Context Detection on Mobile Devices
Mobile devices have obtained a significant role in our life providing a large variety of useful functionalities and features. It is desirable to have an automated adaptation of the behavior of a mobile device depending on a change of user context to spare him additional effort or unwanted behavior in individual situations. To enable such an automatic adaptation the mobile user’s context needs to be determined by the mobile device itself. A prototype implementation for the detection of movement patterns based on the built-in sensors of the Android G1 smartphone is presented which processes sensor information in a neural network to match them to certain contexts of a mobile user.
Workshop on Context-Systems Design, Evaluation and Optimisation (CoSDEO 2011), Como, Italy, 2011.