Drinking Bout Count
Number of discrete drinking episodes
ConductVision · Behavioral Analysis
Drinking Detection
Automated water bottle interaction and licking bout quantification for fluid homeostasis and pharmacological research.
TrainableRodentMetabolismAuto Export
ConductVision / Drinking Detection
Recording / Trial 3subject tracked
Drinking Bout Count14
Drinking Duration27%
Mean Bout Duration27%
Key Parameters
Metrics automatically extracted by ConductVision.
Total Drinking Duration
Cumulative time at water source
Mean Bout Duration
Average length per drinking episode
Lick Rate
Estimated licking frequency per bout
Drinking Latency
Time to first drinking event
Fluid Intake Pattern
Temporal distribution of drinking events
What is Drinking Detection?
Drinking behavior is a key measure in fluid homeostasis research, polydipsia studies, and pharmacological screening. Automated detection enables continuous monitoring of drinking patterns without invasive lickometers, capturing both the timing and duration of water bottle interactions across extended recording sessions.
ConductVision's extensible behavior classifier uses pose estimation features fed into a Random Forest pipeline. Trained on labeled examples of drinking behavior, the system identifies characteristic nose-up posture at the water spout, sustained contact with the sipper tube, and rhythmic head movements associated with licking — achieving reliable detection without hardware sensors.
Research Applications
Fluid Homeostasis
- Polydipsia quantification in diabetes insipidus models
- Dehydration-rehydration drinking pattern analysis
- Vasopressin and aldosterone pathway studies
Pharmacology
- Lithium-induced polydipsia monitoring
- Antipsychotic-induced drinking changes
- Diuretic and anti-diuretic compound screening
Circadian Drinking
- Light/dark cycle drinking distribution
- Meal-associated vs independent drinking bouts
- Restricted access schedule adaptation
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