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Mouse movement and probabilistic graphical models based e-learning activity recognition improvement possibilistic model
Automatically recognizing the e-learning activities is an important task for improving the
online learning process. Probabilistic graphical models such as hidden Markov models and …
online learning process. Probabilistic graphical models such as hidden Markov models and …
Possibilistic reasoning effects on hidden markov models effectiveness
Hidden Markov Models (HMM) have been widely used in classification tasks. Despite their
efficiency in stochastic sequences labeling, they are overwhelmed by imperfect quality of …
efficiency in stochastic sequences labeling, they are overwhelmed by imperfect quality of …
Adaptive probability scheme for behaviour monitoring of the elderly using a specialised ambient device
J Winkley, P Jiang - International journal of machine learning and …, 2014 - Springer
Abstract A Hidden Markov Model (HMM) modified to work in combination with a Fuzzy
System is utilised to determine the current behavioural state of the user from information …
System is utilised to determine the current behavioural state of the user from information …
MAN-MACHINE INTERACTION SYSTEM FOR SUBJECT INDEPENDENT SIGN LANGUAGE RECOGNITION USING FUZZY HIDDEN MARKOV MODEL
Sign language recognition has spawned more and more interest in human–computer
interaction society. The major challenge that SLR recognition faces now is develo** …
interaction society. The major challenge that SLR recognition faces now is develo** …
Behaviour recognition and monitoring of the elderly using wearable wireless sensors. Dynamic behaviour modelling and nonlinear classification methods and …
JJ Winkley - 2013 - bradscholars.brad.ac.uk
In partnership with iMonSys-an emerging company in the passive care field-a new
system,'Verity', is being developed to fulfil the role of a passive behaviour monitoring and …
system,'Verity', is being developed to fulfil the role of a passive behaviour monitoring and …