The Temporospatial and Kinematic Characteristics of Typical Tai Chi Movements: Repulse Monkey and Wave-hand in Cloud
Bibliographic record
Abstract
Tai Chi movements share many similar biomechanical features with normal walking. The purpose of the study was to examine and to compare the temporospatial and kinematic features of two typical Tai Chi movements with forward walking. Experienced male Tai Chi practitioners (n = 15) between the ages of 65 to 75, performed 'Repulse Monkey (RM)', 'Wave-hand in Cloud (WHIC)', and forward walking. The results showed that stride width was larger for WHIC compared with walking; double-support time was longer for RM while both Tai Chi movements spent less time in single-support. The Tai Chi movements elicit larger vertical and mediolateral displacement of the centre of mass compared with walking. During RM and WHIC, the knees remained flexed while RM had notably larger abduction and adduction of the knee joint. The gentle and fluid Tai Chi movements have unique biomechanical features that may result in special training to postural control capacity.
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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 | 0.007 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".