An Oculomotor Sensing Technique for Saccade Isolation of Eye Movements using OpenBCI
Bibliographic record
Abstract
Oculomotor sensing is used in clinical diagnosing of medical disorders, human computer/robot interaction systems and surgical planning software. Various devices are used for oculomotor sensing, namely electrooculography (EOG), video oculography (VOG), infrared oculography (IROG) and sclera coil (SC). EOG is inferior to VOG and IROG in spatial and temporal resolution but its superior in linearity, non-invasiveness, no sight disturbance, low cost and ability of recording closed eye movements. Accurate saccade isolation is important to implement reliable EOG based techniques. This work presents an inexpensive and accurate signal processing technique to extract saccade information. Signal filtering, isolation and calibration are implemented to extract saccade information from the raw signal. The proposed technique showed a significant improvement with respect to other approaches (used for noise filtering) found in literature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".