Abstract: Sensor-based Human Activity Recognition (HAR) often breaks down in real-world deployments because models entangle intrinsic activity patterns with extrinsic nuisance factors such as sensor ...
Abstract: This paper presents a concept for a system that can adapt virtual reality (VR) scenes in real time based on the user's electroencephalographic (EEG) signals using machine learning algorithms ...
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