Results 131 to 140 of about 66,463 (260)
A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment
In this paper, a Hidden Semi-Markov Model (HSMM) based approach is proposed to evaluate and monitor body motion during a rehabilitation training program. The approach extracts clinically relevant motion features from skeleton joint trajectories, acquired by the RGB-D camera, and provides a score for the subject's performance.
Capecci, Marianna +8 more
openaire +4 more sources
ABSTRACT The troves of speech data that have driven an increasing orientation towards large‐scale methods in linguistics have been, for the most part, available only to closed teams of researchers and their collaborators. The Archive of Pittsburgh Language and Speech (APLS, https://apls.pitt.edu) is a new open data resource, consisting of nearly 46 h ...
Dan Villarreal +3 more
wiley +1 more source
Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments [PDF]
Sensors often serve at least two purposes: predicting their input and minimizing dissipated heat. However, determining whether or not a particular sensor is evolved or designed to be accurate and efficient is difficult.
Crutchfield, James P., Marzen, Sarah E.
core +1 more source
Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj +1 more source
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. [PDF]
Katebi N +4 more
europepmc +1 more source
Nonhomogeneous hidden semi-Markov models for toroidal data
Abstract 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 +4 more sources
Approximate Hidden Semi-Markov Models for Dynamic Connectivity Analysis in Resting-State fMRI [PDF]
Mark Fiecas +6 more
openalex +1 more source
A Hidden Semi‐Markov Model with Duration‐Dependent State Transition Probabilities for Prognostics [PDF]
Ning Wang +4 more
openalex +1 more source
Target Location Method Based on Compressed Sensing in Hidden Semi Markov Model [PDF]
Xin Tian, Guoliang Wei, Jianhua Wang
openalex +1 more source

