Development of a soft wearable robotic garment with fabric-based pneumatic artificial muscles for muscle support and postural alignment
Bibliographic record
Abstract
Abstract A soft wearable robotic garment was developed to support lumbar muscle function and postural alignment by using cell-structured fabric pneumatic artificial muscles (cfPAMs). The actuator was constructed from two types of lightweight thermoplastic polyurethane-coated nylon fabrics and was designed with a flexible structure to enhance the contraction and force output. The performance of three actuator configurations (3-cell, 6-cell, and 8-cell) was evaluated in terms of contraction ratio, force generation, and response time. The 8-cell actuator exhibited the highest performance across these metrics. The actuator was integrated into a garment and tested in a user study involving 22 female participants. Surface electromyography of the lumbar erector spinae indicated a reduction in muscle activity during trunk flexion with actuator inflation relative to noninflated and control conditions. A trend toward a reduced full-body tilt was observed, and the user satisfaction was high, particularly for safety and functionality. These findings underscore the potential of cfPAM-based garments for daily musculoskeletal support.
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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 | 0.000 | 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) | 0.000 | 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".