Document Type
Article
Publication Date
July 2025
Patent Number
12353467
CPC
G06F 16/353 , G06F 16/285 , G06F 16/287 , G06F 18/24 , G06F 16/2474 , G06F 17/18 , G06N 20/00
Abstract
In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude elements corresponding to the first interval; identifying a shortest data sequence corresponding to a second interval; forming a second segment of the representative data sequence based on similarity values associated with the data sequences; and concatenating the first segment and the second segment of the representative data sequence.
Application Number
18/502620
Recommended Citation
Uysal, Ismail and Abdella, Alla, "Representation and visualization of multivariate sensory time series data" (2025). USF Patents. 1515.
https://digitalcommons.usf.edu/usf_patents/1515
Assignees
University of South Florida
Filing Date
11/06/2023
