Hand Gesture Interaction for Virtual Training of SPG
Why this work is in the frame
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Bibliographic record
Abstract
We develop a virtual reality based driving training system of self-propelled gun (SPG). In order to make the interface of the system more powerful and natural, hand gesture interaction need to be incorporated into the system's interface. This paper discusses the use of hand gestures for interaction with the virtual training environment. We employ static hand gestures which coupled with hand translations and rotations as the method of interacting with the virtual training environment. An 18-sensor data glove is chosen for monitoring the movements of the fingers and the wrist. The feed-forward neural network is developed for recognizing gestures for use in virtual training application of artillery self-propelled gun (SPG). We present our approach for the algorithm design and implementation, and the use of the gestures in our application. The presented hand gesture interaction method can be effectively used in our virtual reality training system of SPG to perform various manipulating tasks in a more fast, precise, and natural way
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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 | 0.000 | 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 it