Study of soft exoskeleton with elastic assistance on ice hockey forward skating acceleration
Bibliographic record
Abstract
This Master's study examined the performance effects of a soft exoskeleton designed to store and return elastic energy about the hip joint during ice hockey skating starts. Three elastic resistance conditions ("Soft", "Medium", "Stiff") were examined. Kinematic, kinetic and perception data were collected on nine male high calibre hockey players during skating start accelerations over nine meters. This study demonstrated the feasibility of introducing soft exoskeletons to store and return elastic energy to an athlete's body while skating on ice. Several participants responded well, on average yielding 1.54% shorter times during skating start performance (p=0.052). Gross skating kinetic and kinematic patterns were unaltered, though reduced stride length and double support times were counter balanced by higher cadence. Based on individual time performance and preference measures, specific elastic resistances need to be tailored to each athlete in order to optimize their performance. Further study is warranted with larger sample sizes, both male and female athletes, longer familiarization periods, and on different skating tasks.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".