Dexterity researchBeta

Hand dexterity video analysis for fine-motor research

Use close, reviewable video to measure manual dexterity tasks for rehabilitation, neurology, and human-performance studies.

Clinical researchRehabilitationLongitudinal studiesLab capture
Hands completing a pegboard-style dexterity task with video tracking of finger and wrist movement.
Study measures

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

Study setup

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.

Outcome table

Metrics, video signals, and comparators

Metric
Peg placement time
Video signal
hand and object movement from pick-up to placement
Interpretation
manual dexterity and task efficiency
Comparator
9-hole peg test
Finger tap rhythm
Video signal
tap events, intervals, and amplitude proxy
Interpretation
fine motor timing and decrement
Comparator
MDS-UPDRS motor items
Reach-to-grasp path
Video signal
wrist/hand trajectory and object contact timing
Interpretation
coordination during object-directed movement
Comparator
upper-limb kinematic tests
Movement interruptions
Video signal
pauses, corrections, or repeated object contacts
Interpretation
task fluency and motor planning context
Comparator
rater review

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.

Data export

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.

CSV task summary by participant, visit, and session
Frame-level landmark coordinates with confidence values
Event timestamps for starts, stops, repetitions, pauses, and task phases
JSON review files for overlays, researcher notes, and audit history
Evidence

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.

Talk to a human movement specialist

Bring 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.