Rehabilitation · Upper limbOn request

Upper-limb function and dexterity from video

ConductVision tracks reach-to-grasp and manual-dexterity tasks to quantify the speed, smoothness, and coordination behind upper-limb recovery — digitizing the dexterity tests already used in stroke and MS research.

conductvisionUpper-limb & dexterity
reach · 9-hole peg
What it measures

Objective, exportable metrics

Reach trajectory

path length and smoothness

Movement time

reach and return duration

Task throughput

pegs / blocks per interval

Bilateral coordination

left–right timing and symmetry

Digitizes a validated assessment

9-Hole Peg · Box & Block · reach tasks

Replaces manual stopwatch counts and visual scoring. Output the score the field already trusts, plus the richer digital metrics behind it — and the recording stays auditable.

Workflow

From video to exportable metrics

1

Record the task

Film a reach-to-grasp, 9-Hole Peg, or Box & Block task with a single camera.

2

Track hand and arm

Hand and arm keypoints produce trajectories and event counts per repetition.

3

Export dexterity metrics

Throughput, movement time, smoothness, and coordination export for comparison.

Research applications

Where teams use it

Stroke upper-limb recovery research
Multiple sclerosis dexterity studies
Hand-therapy outcome tracking
Neuro-rehabilitation trial endpoints

Upper-limb & dexterity — methods & FAQ

Bring upper-limb & dexterity into your ConductVision workflow

Send a representative video or schedule a consultation to map the outputs your protocol needs.