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Computed features to predict time perception.

Journal: Frontiers in Neuroergonomics

Article Title: Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study

doi: 10.3389/fnrgo.2023.1189179

Figure Lengend Snippet: Computed features to predict time perception.

Article Snippet: Next, we extracted time-domain and frequency-domain features from the EOG signals using the signal processing toolbox in MATLAB.

Techniques: Standard Deviation

Headplots showcasing the positioning of the 16-ExG electrodes on the HTC VIVE Pro Eye VR headset. (Left) The 7-channel EOG montage, with LO1 and LO2 for horizontal EOG (left and right cantus respectively), and Fp1, Fpz, Fp2 (above superior orbit), IO1, and IO2 (below inferior orbit) for vertical EOG. (Right) The 11-channel EEG montage, with electrodes placed in the prefrontal, frontal, central, and occipital areas. A1 and A2 serve as references. An additional sensor is placed on the left collarbone for ECG recording.

Journal: Frontiers in Neuroergonomics

Article Title: Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study

doi: 10.3389/fnrgo.2023.1189179

Figure Lengend Snippet: Headplots showcasing the positioning of the 16-ExG electrodes on the HTC VIVE Pro Eye VR headset. (Left) The 7-channel EOG montage, with LO1 and LO2 for horizontal EOG (left and right cantus respectively), and Fp1, Fpz, Fp2 (above superior orbit), IO1, and IO2 (below inferior orbit) for vertical EOG. (Right) The 11-channel EEG montage, with electrodes placed in the prefrontal, frontal, central, and occipital areas. A1 and A2 serve as references. An additional sensor is placed on the left collarbone for ECG recording.

Article Snippet: Next, we extracted time-domain and frequency-domain features from the EOG signals using the signal processing toolbox in MATLAB.

Techniques: