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Abstract

An image-based behavioral mode assessment system and method, having a camera acquiring images of facial expressions of subject persons for aide assistance. An artificial intelligence process uses facial detection from a camera and detects a face of a subject person. A facial expression module learns correlations of facial expressions-to-behavior and creates a database of subject behavioral classifications, wherein the learning module updates the database with currently learned facial expressions-to-behavior correlations. A comparison and detection module, applies one or more currently obtained facial expressions from the camera and compares it to thresholds for pre-trained behavioral classifications, and determine when a current behavioral classification is imminent or currently being exhibited by the subject person. When the current behavioral classification is detected, requiring an action, an aide is non-intrusively alerted, signaling directly or indirectly to a non-subject person responsible for the subject person, to provide real-time assistance and manpower reduction without compromising effectiveness.

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First Claim