An In-School-Based Program of Combined Fine Motor Exercise and Educational Activities for Children with Neurodevelopmental Disorders
Bibliographic record
Abstract
This article introduces a game-based rehabilitation platform designed to integrate training of fine motor skills and cognitive functions. A novel computer interface device was developed that can effectively replace a standard computer mouse when doing exercises to rehabilitate hand function. This smart device converts signals from miniature motion sensors to signals equivalent to that of a computer mouse. In this way, nearly any object or utensil can be changed to function exactly as a computer mouse, simply by attaching the motion sensor. Multiple objects with varied sizes, shapes, weights, and functional demands for precision can be used for exercise and to practice a variety of gross or fine motor skills, and, importantly, while playing fun computer games. The platform was designed to work with modern and common computer games, which have a broad range of movement speeds and accuracy levels, cognitive activities (puzzles, choices, distractors), and educational content. The platform includes a designed assessment game with advanced data logging for electronic monitoring. Data analysis methods have been developed to quantify performance metrics that provide insights into the quality, efficiency, and skill of a child and thus mean to conduct trend analyses that indicate how the child is performing over time.
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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".