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Current status

Metrics Covered are the following:

🕒 Timing Metrics

Metric	State	Ref.
Movement time	✅	2
Execution time	✅	2
Execution time (w/o pauses)		2
Verification time		2
Number of pauses	✅	2
Duration of the longest pause	✅	2
Click duration		2

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📊 Variability Metrics

Metric	State	Ref.
Execution time variability		2
Execution time (w/o pauses) variability		2
Verification time variability		2
Click duration variability		2
Movement time variability		2
Peak speed variability		2
Peak acceleration variability		2

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🧭 Movement Dynamics

Metric	State	Ref.
Velocity	✅
Peak velocity	✅
Acceleration	✅
Peak acceleration	✅
Normalized jerk	✅	2
Peak jerk	✅	2
Normalized jerk (w/o pauses)		2
Movement direction changes (X+Y flips)		2

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🖱️ Click and Control Metrics

Metric	State	Ref.
Click slip	✅
Number of clics	✅

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⌨️ Keyboard Metrics

Metric	State	Ref.
Number of keys pressed
Backspace count

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📈 Geometric and Deviation Metrics

Metric	State	Ref.
Maximum Absolute Deviation (MAD)	✅
Average Absolute Deviation (AAD)
Area Under the Curve (AUC)	✅	1
Distance	✅	1
X-Flips		1
Y-Flips		1
P-Flips		1
Inflection		1

Refs

1. Using Geometric Features of Drag-and-Drop Trajectories to Understand Students’ Learning
2. Accuracy and Reliability of At-home Quantification of Motor Impairments Using a Computer-based Pointing Task with Children with Ataxia-Telangiectasia

Future ideas

• Data clean-up integration (through pre-built modules, mainly for handling cut-offs or nan values)
• "Library as a service" (building library as an API that can be deployed and integrated in non-python services)