Cellular Wireless Energy Harvesting for Smart Contact Lens Applications [Education Corner]
Bibliographic record
Abstract
An energy harvester for a smart contact lens that monitors the glucose level of a user has been developed and demonstrated. The energy harvester captures a smartphone's second-generation (2G) cellular emission and rectifies it into dc power to operate on-lens microelectronics for glucose detection and wireless data transmission. The energy harvester can reach a maximum radio frequency (RF)-to-dc power conversion efficiency of 47%. An electrically realistic human eye model was designed and fabricated using three-dimensional (3-D) printing technologies to assist in various measurements of the proposed energy harvester. For accessibility and ease of measurements, the proof-of-concept rectifier for the harvester has been designed on a 10 mm ? 30 mm ? 0.8 mm two-layer FR4 printed circuit board (PCB). The end design demonstrates that an energy harvester on a smart contact lens is able to produce 1 mW of dc power at 2.1 V via cellular emission from a smartphone placed 18 cm away.
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) | 0.000 | 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".