Linguistic Prototypes for Data From Eldercare Residents
Anna Wilbik, James M Keller, James C Bezdek
IEEE Transactions on Fuzzy Systems | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2014
We present a model for the analysis of time series sensor data collected at an eldercare facility. The sensors measure restlessness in bed and bedroom motion of residents during the night. Our model builds sets of linguistic summaries from the sensor data that describe different events that may occur each night. A dissimilarity measure produces a distance matrix D between selected sets of summaries. Visual examination of the image of a reordered version of D provides an estimate for the number of clusters to seek in D. Then, clustering with single linkage or non-Euclidean relational fuzzy c-means produces groups of summaries. Subsequently, each group is represented by a linguistic medoid pro..View full abstract
Awarded by National Science Foundation Cyber-Physical Systems program
This work was supported in part by the National Science Foundation Cyber-Physical Systems program under Grant CNS-0931607.