Table · dataset · 2026
Deep Learning-Enhanced All-Nanofiber Sensors for Pressure–Temperature Sensing and Stimulus Discrimination
Listed in figshare
Flexible sensors for elderly-assistive robots typically chase high sensitivity, while comfort and multisensory capabilities are largely ignored.
Description
Here, we break this pattern with a deep-learning decoupled sensor based on tunable all-nanofiber membranes. Unlike conventional sensors that rely on multiple complex signals, our device uses a single sensing mode and decouples the pressure–temperature signal.
The all-nanofiber sensors not only offer excellent pressure–temperature sensing performances but also demonstrate outstanding elderly-friendliness, including biocompatibility, breathability, and degradability. A deep learning algorithm decouples the mixed signals, enabling accurate recognition of liquid temperature and volume in a cup, as well as classification of 15 daily objects during robotic grasping with 97.78% accuracy.
Read the rest (1 more)
This work provides a simple, ecofriendly, and high-performance sensing solution for elderly-assistive robotics and smart home systems.
Links
Where it is published
- DOI doi.org/10.1021/acs.nanolett.6c03538.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 3 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub · removed upstream | oai:figshare.com:article/34008945 | 13 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34008945 | 13 d ago | JSON v1 |
| Loughborough Research Repository · removed upstream | oai:figshare.com:article/34008945 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:group:3107 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |