Design of Health Monitoring for Elderly Wearable Smart Bracelets Based on Humanized Concept
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Currently, the number of elderly people worldwide is constantly increasing, and traditional elderly care methods mainly based on medical care and nursing can no longer meet the needs of the elderly. Therefore, intelligence and technology have become the development direction of the elderly care industry. The article started from the concept of humanized design, focused on user experience as the research focus, and analyzed it based on the physiological characteristics and psychological needs of the elderly. Through analysis, it was concluded that wearable smart bracelets required the following three design elements: design process, product functionality, and user experience. By conducting design research on these three aspects, optimization of product functionality, appearance, and operation can be achieved. The experimental results showed that the bracelet designed in the article had higher monitoring accuracy and efficiency, while ensuring functional integrity. At the same time, the bracelet has achieved good results in actual operation.
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.
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 | 0.001 | 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 | 0.001 |
| 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 it