A Multimedia-Based System for Monitoring Sleepwalkers
Why this work is in the frame
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Bibliographic record
Abstract
Sleepwalking is a sleep disorder that can lead to various dangerous consequences. Although a significant amount of research has been done by the medical community for diagnosis and treatment of this disease, hardly any technological attempt has been made for preventing a sleepwalker from performing a violent or dangerous activity. In this paper, we present a multimedia-based monitoring system that uses motion and video sensors to detect the unusual activity of a sleepwalker. Motion detection triggers video cameras to capture images, which are processed by the system to identify a sleepwalker using face detection/recognition technology. The system raises multiple levels of alarms depending upon the movement of the sleepwalker in and out of the house. The test results demonstrate the effectiveness of installing such a system for monitoring sleepwalkers.
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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 | 0.001 | 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 it