Hidden semi-Markov models to segment reading phases from eye movements [PDF]
Journal of Eye Movement Research, 2022 Our objective is to analyze scanpaths acquired through participants achieving a reading task aiming at answering a binary question: Is the text related or not to some given target topic? We propose a data-driven method based on hidden semi-Markov chains
Brice Olivier +2 more
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On-line apnea-bradycardia detection using hidden semi-Markov models. [PDF]
Annu Int Conf IEEE Eng Med Biol Soc, 2011 International audienceIn this work, we propose a detection method that exploits not only the instantaneous values, but also the intrinsic dynamics of the RR series, for the detection of apnea-bradycardia episodes in preterm infants.
Altuve M +4 more
europepmc +8 more sources
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
IEEE Access, 2016 In this paper, a joint feature selection and parameter estimation algorithm is presented for hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs).
Stephen Adams +2 more
doaj +4 more sources
Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots [PDF]
Sensors, 2023 Pilots’ loss of situational awareness is one of the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are one of the main reasons for a lack of situational awareness without a proper system to detect these ...
Lina Gao, Changyuan Wang, Gongpu Wu
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Quantile hidden semi-Markov models for multivariate time series. [PDF]
Stat Comput, 2022 This paper develops a quantile hidden semi-Markov regression to jointly estimate multiple quantiles for the analysis of multivariate time series. The approach is based upon the Multivariate Asymmetric Laplace (MAL) distribution, which allows to model the quantiles of all univariate conditional distributions of a multivariate response simultaneously ...
Merlo L +3 more
europepmc +5 more sources
Semi-Markov and hidden semi-Markov models of energy systems [PDF]
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems.
Obzherin Yuriy E.
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Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes [PDF]
Frontiers in Neurorobotics, 2017 Humans divide perceived continuous information into segments to facilitate recognition. For example, humans can segment speech waves into recognizable morphemes. Analogously, continuous motions are segmented into recognizable unit actions.
Tomoaki Nakamura +5 more
doaj +2 more sources
Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction. [PDF]
PLoS ONE, 2016 Sequential affect dynamics generated during the interaction of intimate dyads, such as married couples, are associated with a cascade of effects-some good and some bad-on each partner, close family members, and other social contacts. Although the effects
William A Griffin, Xun Li
doaj +2 more sources
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R [PDF]
Journal of Statistical Software, 2011 This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Jared O'Connell, Søren Højsgaard
doaj +1 more source
Bayesian Nonparametric Hidden Semi-Markov Models
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
core +2 more sources