The paper presents SwiftSeg, a novel technique for online time series segmentation and
piecewise polynomial representation. The segmentation approach is based on a least …

This paper aims to observe and recognize transition times, when human activities change.
No generic method has been proposed for extracting transition times at different levels of …

The fourth industrial revolution creates ubiquitous sensor data in production plants. To
generate maximum value out of these data, reliable and precise time series-based machine …

Detecting change points in time series data is a widely acknowledged challenge with
diverse applications, in which the data obtained from measured values is often …

This article presents a novel software architecture enabling the analysis of assembly actions
from fine-grained hand motions. Unlike previous works that compel humans to wear ad-hoc …

Human body movements and postures carry emotion‐specific information. On the basis of
this motivation, the objective of this study is to analyze this information in the spatial and …

Error-bounded piecewise linear approximation (l∞-PLA) has been proven effective in
addressing challenges in data management and analytics. It works by approximating the …

This paper proposes a complete framework to automatically recognize assembly
manipulation motions performed by humans, for the purpose of generating and retrieving …

Segmentation is an important step in processing and analyzing time series. In this article, we
present an approach to speed up some standard time series segmentation techniques …

Streaming time series segmentation is one of the major problems in streaming time series
mining, which can create the high-level representation of streaming time series, and thus …