Scanpath modeling and classification with hidden Markov models
نویسندگان
چکیده
منابع مشابه
Scanpath modeling and classification with hidden Markov models
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, can be used to infer observer-related (e.g., task at hand) and stimuli-related (e.g., image semantic category) information. However, eye movements ar...
متن کاملModeling User Satisfaction with Hidden Markov Models
Models for predicting judgments about the quality of Spoken Dialog Systems have been used as overall evaluation metric or as optimization functions in adaptive systems. We describe a new approach to such models, using Hidden Markov Models (HMMs). The user’s opinion is regarded as a continuous process evolving over time. We present the data collection method and results achieved with the HMM model.
متن کاملModeling Chaotic Systems with Hidden Markov Models
The problem of modeling chaotic nonlinear dynamical systems using hidden Markov models is considered. A hidden Markov model for a class of chaotic systems is developed from noise-free observations of the output of that system. A combination of vector quantization and the Baum-Welch algorithm is used for training. The importance of this combined iterative approach is demonstrated. The model is t...
متن کاملProfile Modeling with Hidden Markov Models Summary
The “fundamental” states N in a Hidden Markov Model are (especially in bioinformatics) usually called match states. Sequences formed with symbols of a finite alphabet E are the observations on which the HMM will be based. Two different stochastic processes operate on the state set: one process moves from one state to another, and the second process controls the emission of symbols of E with pro...
متن کاملFolk Music Classification Using Hidden Markov Models
Automatic music classification is essential for implementing efficient music information retrieval systems; meanwhile, it may shed light on the process of human’s music perception. This paper describes our work on the classification of folk music from different countries based on their monophonic melodies using hidden Markov models. Music corpora of Irish, German and Austrian folk music in vari...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2017
ISSN: 1554-3528
DOI: 10.3758/s13428-017-0876-8