DETECTING FEACAL AND URINE EVENTS BY REFERENCE TO COLLECTIONS OF DATA

摘要

A method for analysing incoming data, comprising the steps of processing the incoming data in segments to output a sequence of segment types by extracting one or more properties of an incoming data segment and forming an Unknown Property Vector for each segment of data in the incoming data, and processing the sequence of segment types to identify events in the incoming data. The sequence of segment types is determined, for each segment, by analysing the Unknown Property Vector by reference to one or more collections of vectors obtained from a set of Reference Property Vectors. This may each of the one or more collections of vectors being selected from the set of Reference Property Vectors randomly or based on relevance or clustering.

主权项

1. A method for analysing incoming data from one or more wetness sensors in an absorbent article to identify in the incoming data urinary and/or faecal wetness events occurring in the absorbent article, comprising the steps of:
(a) processing the incoming data received from one or more wetness sensors in segments to output a sequence of segment types by extracting one or more properties of an incoming data segment and forming an Unknown Property Vector for each segment of data in the incoming data; and (b) processing the sequence of segment types to identify urinary and/or faecal wetness events in the incoming data;
wherein the sequence of segment types is determined, for each segment, by analysing the Unknown Property Vector by reference to one or more collections of vectors from a set of Reference Property Vectors.