Development and Evaluation of Dielectric Elastomer Actuators for Assistive Wearable Devices
Bibliographic record
Abstract
Intensive rehabilitation after stroke contributes significantly to recovery from hand stiffness and loss of strength. Assistive wearable devices could be used by patients on a daily basis to assist with the rehabilitation process. Unfortunately, robotic devices are currently too large and heavy. To reduce the size and weight of these devices, novel means of actuation other than DC motors need to be considered. Dielectric elastomer actuators (DEAs) may provide a solution to the actuation problem. The goal of this paper was to evaluate DEAs as a possible solution to the actuation needs of an assistive wearable device for the wrist. DEAs were fabricated and tested to determine their capabilities in terms of force and range of motion. Although the size and weight of the DEA is ideal for wearable devices, the results show that a single DEA strip of reasonable dimensions is not capable of providing the force or range of motion required. However, there is potential for multiple DEAs to provide a viable solution and should be explored in the future.
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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 | 0.001 |
| 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 | 0.001 |
| 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".