A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
This work addresses the issue of building a probabilistic system in an ambient assisted living environment to ensure a proper living for older adults. The focus lies on the early prediction of human activities based on domotic sensor data which form a temporalsequential data set. In contrast to commonly used methods in sequential data mining, data in hidden streams and with variable temporal spans are considered. The aim in this context is to detect recurrent patterns in a stream of domesticdoi:10.11128/sne.25.tn.10308 fatcat:dhfo5r6y5veixa57cp4rez547q