Seeing eye to eye: a shared mediated reality using EyeTap devices and the VideoOrbits gyroscopic head tracker
Bibliographic record
Abstract
We present a system which allows wearable computer users to share their views of their current environments with each other. Our system uses an EyeTap: a device which allows the eye of the wearer to function both as a camera and a display. A wearer, by looking around his/her environment, "paints" or "builds" an environment map composed of images from the EyeTap device, along with head-tracking information recording the orientation of each image. The head-tracking algorithm uses a featureless image motion estimation algorithm coupled with a head mounted gyroscope. The environment map is then transmitted to another user, who, through their own head-tracking EyeTap system, browses the first user's environment solely by head motion, seeing the environment as though it were their own. As a result of browsing the transmitted environment map, the viewer builds and extends his/her own environment map, and thus this is a data-producing head-tracking system. These environment maps can then be shared reciprocally between wearers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".