Data · dataset · 2025
MindTS-MMD
Listed in Teesside University Research Data Repository
The MINDTS-MMD (Mindfulness-based Intervention for Tourette Syndrome – Multimodal Dataset) is the first Chinese pediatric Tourette syndrome (TS) multimodal dataset designed to support emotion-aware and behavior-adaptive therapeutic modeling.
Description
It integrates synchronized video, audio, and text modalities, capturing children’s tic behaviors, emotional expressions, and interactive contexts during mindfulness-based intervention sessions.
The dataset includes over 120 hours of recorded sessions from 60 clinically diagnosed TS participants aged 6–12 years, each with expert-verified annotations of tic frequency, Valence–Arousal emotion scores, and contextual metadata such as activity type and therapeutic stage. All recordings were de-identified and processed under medical ethics approval (Approval No. 2022-114-01(K), Xinxiang Central Hospital). The MINDTS-MMD dataset enables multimodal affect recognition, behavioral monitoring, and personalized guidance generation, providing a benchmark resource for AI-assisted mindfulness interventions in pediatric neurodevelopmental care.
Links
Where it is published
- DOI doi.org/10.17632/kswgcms346.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Audio 75% · Clinical sciences 70% · Text 75% · Video 75%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kswgcms346.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3202 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |