Validity Assessment of a 3D Depth Sensor used in Movement Tracking Games for Children with Cerebral Palsy
Bibliographic record
Abstract
In-person therapy can decrease motivation in children, and limit accessibility due to distance. Bootle Blast and Bootle Boot Camp are interactive video games that use a low-cost 3D depth sensor (Orbbec Persee+), with the goal to support conventional therapy for children with cerebral palsy. This study aims to validate the accuracy of the Orbbec Persee+ to support home-based rehabilitation games and its potential for providing correct feedback on the quality of movements. Joint data were collected from eight children and twenty adults as they participated in the games, using the Persee+ and a gold standard motion capture system for comparison. The joint coordinates and derived kinematic measurements resulted in good concurrent validity (Pearson’s r > 0.8) with good to excellent inter-rater-reliability (0.75 [0.53~0.88]) <〖ICC〗_3,1<0.99 [0.98~1.00]). The Persee+ and the rehabilitation games show potential for integration within a home-environment to provide clinicians with accurate changes in movement quality over time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".