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Pattern recognition for ADL events

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This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.

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  • Sensor/Video fusion
  • Real time video processing
  • Telemonitoring with CBRs
  • Friendly user interface to compare different sequences of data
  • Client-Server architecture


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