Hand dexterity video analysis for fine-motor research
Use close, reviewable video to measure manual dexterity tasks for rehabilitation, neurology, and human-performance studies.

What the camera can measure
These outputs are designed for study comparison, rater review, and statistical analysis. They are not diagnostic claims.
Peg placement time
hand and object movement from pick-up to placement
Finger tap rhythm
tap events, intervals, and amplitude proxy
Reach-to-grasp path
wrist/hand trajectory and object contact timing
Movement interruptions
pauses, corrections, or repeated object contacts
Build the task around your protocol
ConductVision works best when the task, camera setup, annotations, and export fields are defined before the first participant visit.
Task presets
- 9-hole peg style task
- finger tapping
- reach-to-grasp
- object transfer
- pronation-supination
Researcher annotations
- dominant hand
- affected side
- task object set
- rater corrections
- fatigue notes
Export fields
- tap intervals
- peg timing
- reach path
- object contact events
- hand landmark series
Camera setup
Tabletop camera view with hands, wrists, and task objects visible; use consistent object placement.
Metrics, video signals, and comparators
What is established
Pegboard, tapping, and reach-to-grasp tasks are established in neurology, rehabilitation, and dexterity research.
What ConductVision quantifies
ConductVision measures hand timing, object interaction, and movement path while preserving the source video for rater review.
What still needs validation
Fine finger landmarks, object occlusion, and clinically meaningful thresholds require task-specific validation and quality checks.
Reviewable data for analysis teams
Exports are built for study notebooks, statistical analysis, and rater review. The video remains available for audit when the protocol allows it.
Scientific context for the task family
These links point to the measurement areas researchers commonly use when validating a protocol.
Research-use measurement note
ConductVision outputs are research-use measurements unless a customer has completed their own clinical validation, regulatory review, and intended-use controls. The study team remains responsible for consent, privacy, camera calibration, rater review, and clinical interpretation.
Adjacent human movement pages
Stroke rehabilitation
Track reaching, trunk compensation, gait asymmetry, and repetition quality across recovery visits.
Open pagePhysical therapy outcomes
Measure range of motion, exercise form, repetition quality, task timing, and visit-to-visit progress.
Open pageDigital biomarkers in clinical trials
Plan fit-for-purpose video outcomes for gait, tremor, range of motion, dexterity, and remote visits.
Open pageReaction time and psychomotor slowing
Measure reaction time, initiation latency, movement speed, vigilance lapses, and task consistency.
Open pageBring hand function and dexterity into a real study protocol
Share the task, participant population, camera constraints, and outcomes you need to compare. We will help map what can be measured and what needs validation.
