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Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human computer interaction that uses human gestures to send commands to a computer and exploits brain activity to provide implicit feedback about the recognition...
Achieving a robust recognition of physical activities or gestures despite variability in sensor placement is highly important for the real-world deployment of wearable context-aware systems.It provides robustness against unintentional displacement of sensors, such as when doing intense physical activities or wearing sensors over extended periods of time.Here we focus on the problem of context recognition...
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