Document Type
Article
Publication Date
November 2023
Patent Number
11809475
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
17/550509
Recommended Citation
Uysal, Ismail and Abdella, Alla, "Representation and visualization of multivariate sensory time series data" (2023). USF Patents. 1379.
https://digitalcommons.usf.edu/usf_patents/1379
Assignees
UNIVERSITY OF SOUTH FLORIDA
Filing Date
12/14/2021
