Towards the development of a safer walker: How can we modify a standard pickup-walker to reduce its adverse effects on postural re-stabilization?
Bibliographic record
Abstract
Older adults often use mobility aids to improve mobility. However, it has been reported that use of mobility aids can impede lateral compensatory stepping, when recovering from perturbations during standing. Such stepping reactions are prevalent and functionally important responses to instability, and are quite likely to be the only recourse in the event that the stability limits established by the walker are exceeded. It was, however, unknown what effect mobility aids might have on lateral compensatory stepping reactions during walking. Studies have shown that many falls did not occur during quasi-static state, but happened during ambulation while using assistive devices. Our first study showed that lateral compensatory stepping was also impeded by assistive devices, especially by the walker, when recovering from perturbations during ambulation. Thus, two potentially safer walkers aimed at enhancing the user's ability to recover balance were developed and evaluated. The experiment showed that simple walker modifications could help to reduce its adverse effects on postural re-stabilization.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".