Neuromusculoskeletal Dynamic Modelling of Human Movement in Motion Environments
Bibliographic record
Abstract
Personnel onboard high-speed marine craft are exposed to eccentric slam impacts of up to 20 g due to hull separation from water during operation. To maintain postural stability, occupants adopt a semi-squatted position to attenuate the high-acceleration loading, which causes severe acute and chronic musculoskeletal injuries, and hinders post-transit performance. The harsh environment warrants a thorough understanding of human-body behaviour to predict responses and quantify energy expenditure in maintaining postural stability. A comprehensive, three degree-of-freedom sagittal-plane musculoskeletal dynamic model was developed to estimate musculotendon forces from neuromuscular stimuli and joint kinematics to provide estimates of joint torques and muscle energetics. The model was validated through experimental trials with seven participants and indicates good agreement with torque profiles obtained through inverse dynamics. The framework provides general applicability to postural stability in a wide range of motion environments and supports future investigation of injury criteria and occupant-seat interaction on high-speed craft.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 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".