Designing the user interface (videotape)
Designing the user interface (videotape)
Usability Engineering
Machine Learning
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
Communications of the ACM
Neuroergonomics: The Brain at Work
Neuroergonomics: The Brain at Work
Development of a biosignals framework for usability analysis
Proceedings of the 2009 ACM symposium on Applied Computing
Experiences in reading detection with EEG signals
Proceedings of the 2010 ACM Symposium on Applied Computing
Relevance of EEG input signals in the augmented human reader
Proceedings of the 1st Augmented Human International Conference
A tool for mental workload evaluation and adaptation
Proceedings of the 4th Augmented Human International Conference
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This paper describes a study regarding the detection of silent visual reading and non reading mental activities through electroencephalogram (EEG) processing. Our work is in the context of human computer interaction research field, and we pretend to integrate EEG signals in applications to assist and analyze reading tasks. The need of users to be constantly and tightly coupled with the applications is being highly stimulated by the design of universally-accessible interactive system, where the use of biomedical signals has become an emerging area. The work focuses on building reliable capture and preprocessing procedures, extracting relevant features and testing simple learning algorithms. The detection process uses left hemisphere EEG signals, which is referred to as being the relevant brain area for this type of tasks. The signals were processed to extract the power spectrum density of delta, theta and alpha rhythms, known frequencies of this type of signals. We also present two real time demonstration applications,