DARWIN Dataset
Cross-source consensus on DARWIN Dataset from 1 sources and 5 claims.
1 sources · 5 claims
Preparation
Where it comes from
Highlighted claims
- The experiments used the DARWIN handwriting dataset with 174 participants. — Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
- Handwriting was recorded with a digitizing tablet and a pressure-sensitive pen on A4 paper. — Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
- The tablet captured x and y pen-tip coordinates at 200 Hz plus pressure during on-paper movement. — Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
- The experiments extracted eighteen handcrafted features per task. — Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
- Clinical labels were assigned using neuropsychological assessments including MMSE, FAB, and MoCA. — Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework