Data · dataset · 2025
Mixtac: A Bio-inspired Hybrid Tactile Sensor Dataset with Synergistic Event-Frame Perception
Listed in ScienceDB
This dataset contains raw data collected for the evaluation and training of the Mixtac tactile sensor and its associated deep learning model, FGER-Net.
Description
Mixtac is a novel bio-inspired hybrid tactile sensor that integrates "slow-adapting" (image frames) and "fast-adapting" (event streams) channels to resolve the trade-off between dynamic response and long-term static stability in vision-based tactile sensing.
The data was acquired using a DAVIS346 event camera and includes synchronized grayscale frames, asynchronous event streams, and ground truth force data from a 6-axis force sensor. The dataset covers various experimental scenarios, including high-frequency vibration sensing (50-250 Hz), dynamic force tracking, long-term static force estimation, hybrid transient impact and static hold tests, and extended force range (0-12 N) validation.
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This dataset is valuable for research in visual-tactile perception, robotic dexterous manipulation, and multi-modal sensor fusion.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.34362 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Control engineering, mechatronics and robotics 71% · Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.34362 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4007 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |