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.
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
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.
From video to exportable metrics
Record the task
Film a reach-to-grasp, 9-Hole Peg, or Box & Block task with a single camera.
Track hand and arm
Hand and arm keypoints produce trajectories and event counts per repetition.
Export dexterity metrics
Throughput, movement time, smoothness, and coordination export for comparison.
Where teams use it
Upper-limb & dexterity — methods & FAQ
Can it count pegs/blocks automatically?
Does it replace the physical test kit?
What about fine finger motion?
Bring upper-limb & dexterity into your ConductVision workflow
Send a representative video or schedule a consultation to map the outputs your protocol needs.
