ConductVision · Behavioral Analysis

Jumping Detection

Automated vertical locomotion and escape attempt detection for stereotypy and motor research.

TrainableRodentMotorAuto Export
ConductVision / Jumping Detection
Recording / Trial 3subject tracked
Jump Count14
Jump Height Estimateauto
Jump Latency7.2s

Key Parameters

Metrics automatically extracted by ConductVision.

Jump Count

Total number of jumping events detected

Jump Height Estimate

Estimated peak height per jump from pose data

24.3s

Jump Latency

Time to first jump from session start

Inter-Jump Interval

Mean time between consecutive jumps

Escape Attempt Count

Jumps directed at cage lid or walls

Stereotypic Jump Count

Repetitive jumping in fixed location

What is Jumping Detection?

Jumping behavior in rodents serves as an indicator of escape motivation, stereotypy, hyperactivity, and motor function. In the forced swim test, jumping vs swimming vs climbing provides distinct behavioral classifications. Cage-lid jumping is a welfare-relevant stereotypy in enrichment studies.

ConductVision's extensible behavior classifier uses pose estimation features fed into a Random Forest pipeline. The system detects jumps by tracking rapid vertical displacement of body keypoints, distinguishing true jumps from rearing events based on velocity profiles and airborne duration — providing automated jump classification without manual frame-by-frame scoring.

Research Applications

Escape Behavior

Stereotypy Assessment

  • Cage-lid jumping frequency as a welfare indicator
  • Environmental enrichment effect on stereotypic jumping
  • Drug-induced hyperlocomotion jump component

Motor Function

  • Vertical motor capacity in neuromuscular disease models
  • Stimulant-induced jumping — amphetamine, caffeine dose-response
  • Age-related decline in jumping ability

Ready to automate your behavioral analysis?

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