Results 71 to 80 of about 116,234 (262)
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. While accelerometers are the most common tools to measure activity, current activity classification methods require ...
Francesca Romana Cavallo +2 more
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Sensors, 2019 Lower limb locomotion activity is of great interest in the field of human activity recognition. In this work, a triplet semi-Markov model-based method is proposed to recognize the locomotion activities of healthy individuals when lower limbs move ...
Haoyu Li +2 more
doaj +1 more source
Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM [PDF]
, 2013 We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known.
Almeida +39 more
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PDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation [PDF]
, 2006 Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Andrieu, C +3 more
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Quantized
IEEE Access, 2020 This paper concerns the quantized H∞ feedback control problem for a class of semi-Markov jump systems with limited mode information. In networked control loop, the network-induced phenomenon limits the accuracy of the signal transmission. The mode
Ming Xu +3 more
doaj +1 more source
Human activity learning and segmentation using partially hidden discriminative models [PDF]
, 2005 Learning and understanding the typical patterns in the daily activities and routines of people from low-level sensory data is an important problem in many application domains such as building smart environments, or providing intelligent assistance ...
Bui, Hung H. +2 more
core
IEEE Access, 2020 In this paper, we design a mathematical model for performance and reliability evaluation of the IEEE 802.11p Enhanced Distributed Channel Access (EDCA) broadcast scheme in Dedicated Short-Range Communication (DSRC) with the presence of hidden terminals ...
Lin Hu, Zhijian Dai
doaj +1 more source
Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods [PDF]
, 2012 We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likelihood function where we condition on one or more counts being zero a priori.
Johnson, Matthew James, Willsky, Alan S.
core
Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes
, 2016 We introduce the minimal maximally predictive models ({\epsilon}-machines) of processes generated by certain hidden semi-Markov models. Their causal states are either hybrid discrete-continuous or continuous random variables and causal-state transitions ...
Crutchfield, James P., Marzen, Sarah E.
core +2 more sources
Nonhomogeneous hidden semi-Markov models for toroidal data
Journal of the Royal Statistical Society Series C: Applied StatisticsAbstract A nonhomogeneous hidden semi-Markov model is proposed to segment bivariate time series of wind and wave directions according to a finite number of latent regimes and, simultaneously, estimate the influence of time-varying covariates on the process’ survival under each regime.
Francesco Lagona, Marco Mingione
openaire +3 more sources