How alexhuang1029/neurotrace works
NeuroTrace is a browser-based handwriting-kinematics tool intended to help detect neurodegenerative disease, with Wacom tablet support. The documented user path is to open the HTML app, use a supported tablet, and download kinematics CSV data for Python analysis; vocational/education history is also named in the project scope. The sampled Python helper loads and summarizes a feature dataset, but the HTML implementation was not sampled, so capture, history collection, and export wiring are shown only where documentation supports them.
Main entry points: NeuroTrace.html Handwriting capture · DataHelperFile.py Data analysis · data.csv Kinematics CSV · NeuroTraceV1.4 History assessment
Components 9
Browser interaction
- NeuroTrace app
NeuroTraceV1.4/NeuroTrace.html - History assessment
NeuroTraceV1.4 - Handwriting capture
NeuroTraceV1.4/NeuroTrace.html
Kinematics analysis
- Data analysis
NeuroTraceV1.4/DataHelperFile.py - Feature summaries
NeuroTraceV1.4/DataHelperFile.py
Data
- Kinematics CSV
NeuroTraceV1.4/data.csv
Other components
- Participant
- Web browser
- Wacom tablet
Connections 9
- Participant → Web browser: opens app in
- Web browser → NeuroTrace app: loads
- Participant → History assessment: provides history
- Participant → Handwriting capture: writes on
- Wacom tablet → Handwriting capture: supplies input
- NeuroTrace app → Handwriting capture: supports capture
- Handwriting capture → Kinematics CSV: downloads data
- Data analysis → Kinematics CSV: reads
- Data analysis → Feature summaries: summarizes