ConductVision · Behavioral Analysis

Grooming Detection

Automated grooming bout detection with microstructure analysis for stress and OCD research.

RodentStressStereotypyAuto Export
ConductVision / Grooming Detection
Recording / Trial 3subject tracked
Grooming Time42%
Bout Count8
Mean Bout Duration27%

Key Parameters

Metrics automatically extracted by ConductVision.

24.3s

Total Grooming Time

Cumulative duration of all grooming bouts

Bout Count

Number of distinct grooming episodes

Mean Bout Duration

Average length of individual grooming bouts

24.3s

Grooming Latency

Time from session start to first grooming bout

Cephalocaudal Progression

Sequential paw–face–body–tail grooming pattern integrity

Incorrect Transitions

Interruptions or reversals in the grooming chain

What is Grooming Detection?

Self-grooming in rodents follows a stereotyped cephalocaudal sequence — paws, face, head, body, tail. Disruption of this pattern is a sensitive index of stress, anxiety, and compulsive-like behavior, making grooming microstructure a key endpoint in OCD, autism, and stress-response research.

ConductVision uses pose estimation to detect grooming bouts in real time, distinguishing grooming from resting and other stationary behaviors. The software quantifies bout duration, frequency, and chain completeness without manual video scoring.

Ready to automate your behavioral analysis?

Request a demo or contact our team to discuss how ConductVision can accelerate your research.