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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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
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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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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
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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
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Context-Dependent Movement Responses of Large Carabids to Forest Gap Cuttings. [PDF]
Ecol EvolThis study investigates the effects of forest management on the movement of ground beetles within an oak‐hornbeam forest in northern Hungary. We compared a closed‐canopy control stand with various small‐scale canopy gaps. To track movement and habitat use within these treatments, two carabid species, Carabus ullrichii and C.
Růžičková J +3 more
europepmc +2 more sources
The ‘aukward’ use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks [PDF]
Movement EcologyGlobal seabird declines underline the need for accurate behavioural inference at sea to guide conservation. For pursuit-diving species such as auks, differentiating between resting and foraging is difficult due to similar above-water movement patterns ...
Astrid Dedieu +4 more
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Combining EEG signals from the 2 members of a team to improve event identification [PDF]
NeuroImage: ReportsWe examined the potential of combining EEG signals from multiple individuals to identify critical events in a team task. In this study two subjects played a video game in which they had complementary roles, one player serving as a Bait to distract 5 ...
Jon M. Fincham +2 more
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Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. [PDF]
Neuroimage, 2019 Shappell H +3 more
europepmc +2 more sources
Unsupervised Classification of Human Activity with Hidden Semi-Markov Models
Applied System Innovation, 2022 The modern sedentary lifestyle is negatively influencing human health, and the current guidelines recommend at least 150 min of moderate activity per week. However, the challenge is how to measure human activity in a practical way.
Francesca Romana Cavallo +2 more
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