Verfahren und System zur Vertrauensniveaudetektion anhand von Augenmerkmalen

Details

Veröffentlichungs-Nr.

EP4099280

Aktenzeichen

EP21205937

Anmeldetag

2. November 2021

Veröffentlichung

24. Juli 2024

Erteilung

24. Juli 2024

Rechtsraum

EP

IPC

G06V40/16G06V40/18G06V10/25G06V10/44G06V10/62G06V10/75G06V10/74G06V10/70G06V10/82

Abstract

State of art techniques attempt in extracting insights from eye features, specifically pupil with focus on behavioral analysis than on confidence level detection. Embodiments of the present disclosure provide a method and system for confidence level detection from eye features using ML based approach. The method enables generating overall confidence level label based on the subject's performance during an interaction, wherein the interaction that is analyzed is captured as a video sequence focusing on face of the subject. For each frame facial features comprising an Eye-Aspect ratio, a mouth movement, Horizontal displacements, Vertical displacements, Horizontal Squeezes and Vertical Peaks, are computed, wherein HDs, VDs, HSs and VPs are features that are derived from points on eyebrow with reference to nose tip of the detected face. This is repeated for all frames in the window. A Bi-LSTM model is trained using the facial features to derive confidence level of the subject.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete