Impact of Sensor Sensitivity in Assistive Environment
Bibliographic record
Abstract
Advances in motion detection, tracking, and classification have made available many applications in telerehabilition. Monitoring of the elderlies and physically impaired, sports medicine, and physical therapy, are some of the active research areas in telerehabilition. In order to gain acceptance by the general public, a telerehabilition system should have high accuracy in tracking movements and be low in cost. This work investigates the suitability of Leap Motion, a computer input device, for telerehabilition purpose. Its accuracy and tracking reliability are compared to that of Nintendo's Wii Remote Controller (Wiimote) that was studies in our prior work. Wiimote can be used as a handheld device for patients to perform repetitive motions in physical therapy sessions in an autonomous remote setting. The Leap Motion, on the other hand, seems to fit physiotherapy sessions that require free motion without any props. Patients can use such an instructional system at home without the effort and time incurred with visiting a medical office. At the same time, the public health care system also benefits from such devices due to reduced cost and broader delivery of programs.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".