A Comparison of the control schemes of human response to a dynamic virtual 3D face
Date |
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2019 |
This paper introduces the application of predictor-based control principles for the control of human response to a virtual 3D face. A dynamic woman 3D face is observed in virtual reality. We use changing distance-between-eyes in a 3D face as a stimulus – control signal. Human responses to the stimulus are observed using EEG-based excitement signals – output signal. The technique of dynamic systems identification which ensure stability and possible higher gain of the model for building a predictive input-output model of control plant is applied. Three predictor-based control schemes with a minimum variance or a generalized minimum variance control quality and constrained control signal magnitude and change rate are developed. High prediction accuracies and control quality are demonstrated by modelling results.
Žurnalas http://itc.ktu.lt/index.php/ITC
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
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Information Technology and Control | 0.905 | 3.877 | 3.297 | 4.304 | 3 | 0.241 | 2019 | Q4 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Information Technology and Control | 0.905 | 3.877 | 3.297 | 4.304 | 3 | 0.241 | 2019 | Q4 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Information Technology and Control | 1.7 | 0.473 | 0.237 | 2019 | Q3 |