Our Core Mission

We connect patients digitally with enabling technologies to make rehabilitation better.

Ctrl CV builds computer vision-powered applications that bridge the gap between clinical visits and at-home recovery, empowering patients and providers with real-time, actionable insights.

Our Applications Our Intent
Our Applications

A Growing Suite of Rehabilitation Tools

Each application targets a different dimension of motor recovery, from fine finger dexterity to spatial coordination and grasp control.

TraceABLE

Shape Tracing

A digital health application for stroke rehabilitation that uses computer vision hand tracking to provide interactive rehab exercises. Patients trace geometric shapes using hand gestures, and the system scores their motor control in real-time using Procrustes analysis.

Gesture-based controls: pinch to draw, fist to clear, thumbs up to score
Coverage, accuracy, and stability scoring with clinical CSV export
Designed for Meta Ray-Ban smart glasses and phone cameras
GrabLab pick-and-place trial showing hand trajectory path from colored block to drop zone

GrabLab

Pick & Place

An interactive hand-tracking application that uses real-time computer vision to train fine motor control, spatial accuracy, and cognitive-motor performance through engaging virtual grasp-and-sort tasks. Users pinch to grab colored blocks and transport them to the correct target zone.

Pinch calibration, goal-based gameplay, and timed challenge modes
21-point hand keypoint tracking with exportable trajectory data
Detailed session analytics: attempts, outcomes, and hand motion paths

SphereIQ

Grasp & Sort

A computer vision-powered training application designed to assess and develop cognitive-motor performance, spatial coordination, and grasp control. Users form a spherical grip to interact with virtual spheres, match target diameters, and transport color-coded objects to the correct drop zone.

Spherical grasp formation with thumb-to-index diameter matching
Guided calibration, goal-oriented gameplay, and timed task modes
Exportable grasp outcomes, movement trajectories, and hand keypoints
SphereIQ trial showing sphere transport trajectory from color target to circular drop zone

Our Intent

The primary intent of Ctrl CV is to eliminate the uncertainty and isolation traditionally associated with outpatient recovery. Too often, patients leave a clinic unsure if they are performing their exercises correctly, which can lead to re-injury or prolonged recovery times.

We intend to transform rehabilitation from an episodic, clinic-based event into a continuous, data-driven process. By providing visual feedback, gamified motivation, and objective performance analytics across our suite of applications, Ctrl CV aims to increase patient compliance, reduce recovery durations, and ultimately restore quality of life faster and more safely.

Animated hand skeleton grip visualization from SphereIQ
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Enabling Technologies at Work

How we turn our mission into measurable results across every application.

Real-Time Biometrics

Integrates with Meta Ray-Ban smart glasses and phone cameras to monitor hand movement, range of motion, and exercise form using 21-point hand landmark detection.

Provider Dashboard

Gives physical therapists and doctors a centralized view of patient progress via exported session data, allowing them to adjust regimens asynchronously.

Interactive Guided Exercises

Shape tracing, pick-and-place tasks, and sphere manipulation with objective scoring give patients clear goals and measurable improvement across sessions.