Detecting computer activities using eye-movement features

Toward the age of smart human–computer interactions, human activity recognition becomes one of the most popular areas for promoting ambient intelligence techniques. To this end, this study aimed at selecting critical eye-movement features to build artificial intelligence models for recognizing three...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing 2023-11, Vol.14 (11), p.14441-14451
Hauptverfasser:	Destyanto, Twin Yoshua R., Lin, Ray F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Ambient intelligence Artificial Intelligence Artificial neural networks Computational Intelligence Engineering Feature recognition Feature selection Human activity recognition Human motion Machine learning Methods Motion perception Original Research Personal computers Radio frequency identification Reading Robotics and Automation Support vector machines User Interfaces and Human Computer Interaction Variance analysis
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