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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Languages: English
Types: Unknown
Subjects: QA76
A learning context memory consisting of two main parts is\ud presented. The first part performs lossy data compression,\ud keeping the amount of stored data at a minimum by combining\ud similar context attributes — the compression rate for the\ud presented GPS data is 150:1 on average. The resulting data is\ud stored in an appropriate data structure highlighting the level\ud of compression. Elements with a high level of compression\ud are used in the second part to form the start and end points\ud of episodes capturing common activity consisting of consecutive\ud events. The context memory is used to investigate how\ud little context data can be stored containing still enough information\ud to capture regular human activity.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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