Development of Adaptive Sitting Cum Standing Positional Device - User's Centric Approach
Bibliographic record
Abstract
Background As per India Census 2011 Cerebral palsy affects 3.8 of Indians or roughly 15-20 of physically challenged children. An estimated 31000 live births are affected in India. The most prevalent motor impairment in children is cerebral palsy. The adaptive devices need to accommodate different factors in terms of individual health condition body structure body function capacity gender age ethnicity and preference. In addition physical changes that occur in children as they grow and develop need to be accommodated. UNICEF stated that the frequency of changes to be made in an assistive product depends on how fast the child develops and grows which will vary over time as well as between children. This adds to the economic burden especially in families below the poverty line.Aim To build a device for dual usage seating cum standing for children with delayed milestones with versatile features to accommodate as they grow.Methods Anthropometric measurements of children with delayed milestones aged between 3-12 years were collected and assimilated in building the innovative twin device and its features. User satisfaction feedback was collected about the innovative twin device using Quebec User Evaluation of Satisfaction with Assistive Technology QUEST using a prospective qualitative study design. Simple random sampling methods were used to recruit 255 parents of children with delayed milestones from 2016 to 2019 across India and Bangladesh. They were prospectively observed and the perceived effectiveness usability and service delivery system of twin device was collected from parents mostly through telephonic and in-person interviews after three months. Results Around 121 usersparents gave their QUEST feedback. The mean satisfaction on the twin device was recorded as 4.16 Quite satisfied and the service delivery was rated 4.81 Very satisfied. Overall QUEST score was recorded as 4.48 Quite satisfied. The three most satisfying features of the device reported were safe and secure 61.16 easy to use 57.02 and comfortable 56.2.Conclusion Twin device and delivery services quality was measured through user satisfaction in terms of strength durability capacity safety and comfort. Provision of assistive technology includes the design production user satisfaction and quality of life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".