Replacing a Mouse with Hand Gesture in a Plane-Based Augmented Reality System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A modern tool being explored by researchers is the technological augmentation of human perception known as Augmented Reality (AR). In this paradigm the user sees the real world along with virtual objects and annotations of that world. This synthesis requires the proper registration of virtual information with the real scene, implying the computer's knowledge of the user's viewpoint. Current computer vision techniques, using planar targets within a captured video representation of the user's perspective, can be used to extract the mathematical definition of that perspective in real-time. These embedded targets can be subject to physical occlusion, which can corrupt the integrity of the calculations. This paper presents an occlusion silhouette extraction scheme that uses image stabilization to simplify the detection of target occlusion. Using this extraction scheme, the paper also presents a novel approach to hand gesture-based interaction with the virtual augmentation. An implemented interaction system is described, which applies this technology to the manipulation of a virtual control panel using simple hand gestures to simulate mouse control.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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