Source Paper
Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as “Vamana Karma”): Protocol for a Mixed Methods Study
Rani P, Kalra S, Singh S, David R, Gupta AR et al.
JMIR Res Protoc • 2026
Physical Gesture Analysis
Objective: AI-based framework for objective assessment of physical gestures, facial expressions, and hand/eye movements during vamana karma (therapeutic emesis) in Ayurveda
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Equipment3
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Protocol Steps
Camera positioning and setup
Position high-definition cameras at forehead level facing the participant with standardized artificial lighting and monochromatic green backdrop
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“High-definition cameras (minimum 1080p resolution) will be positioned at forehead level facing the participant”
Video data capture
Record video throughout the vamana karma procedure to capture vomitus events, facial expressions, and physical gestures
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“Video data will be captured throughout the procedure to record vomitus events, facial expressions, and physical gestures”
Frame extraction and annotation
Process video data through frame extraction and manual annotation to create labeled datasets
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“Video data will be processed through frame extraction and manual annotation”
Facial expression analysis
Analyze patients' facial gestures by mapping various features of the face such as eyebrows, eyes, and mouth to emotions of anger, fear, surprise, sadness, and happiness
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“The patients' facial gestures will be analyzed by mapping various features of the face, such as the eyebrows, eyes, and mouth, to the emotions of anger, fear, surprise, sadness, and happiness”
Physical gesture analysis
Analyze physical gestures including hand and eye movements using pose estimation models
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“Physical gestures, including hand and eye movements, will also be analyzed using pose estimation models”
Temporal mapping
Time-stamp and map detected events, classified vomitus types, and facial expressions across the procedure timeline
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“Detected events, classified vomitus types, and facial expressions will be time-stamped and mapped across the procedure timeline”