Body Sensor Networks Powered by an NFC-Coupled Smartphone in the Pocket
Bibliographic record
Abstract
This paper proposes a body sensor network (BSN) on clothing that is wirelessly powered by a smartphone in a pocket. The network consists of a host device and multiple sensor nodes, which are distributed on a wear and are electrically connected with conductive threads. The smartphone with a built-in near field communication (NFC) feature powers the host, which is fixed at the pocket. These devices are wired to a special cloth embroidered with conductive threads by using a special connector consisting of a pin & socket without one-to-one wiring. In the proposed BSN, the host device and the smartphone are coupled via NFC radio within the pocket. Energy harvesting with NFC radio wave requires maintaining antennas within several centimeters to obtain enough power. Positioning and fixing of the smartphone is required within the pocket. A proposed host device can expand the range of energy harvesting by using multiple antennas and a power aggregation circuit. The experimental results demonstrate the feasibility of the batteryless BSNs system.
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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 | 0.000 | 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 | 0.001 |
| 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".