Towards context awareness using Symbol Clustering Map
نویسندگان
چکیده
Recognizing the context of use is important in making mobile devices simple to use. The device and the underlying mobile service can provide a personalized user interface that adapts to the usage situation. The device can infer parts of the context of the user from features extracted from on-board measurements of acceleration, noise level, luminosity, humidity, etc. In this paper we consider context recognition by fusing and clustering these context features using a recently introduced method, the Symbol Clustering Map. As such, it can be used for finding static patterns but a suitable transformation of the data allows identifying also temporal patterns.
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