首页> 外国专利> SALIENT FEATURE EXTRACTION USING NEURAL NETWORKS WITH TEMPORAL MODELING FOR REAL TIME INCORPORATION (SENTRI) AUTISM AIDE

SALIENT FEATURE EXTRACTION USING NEURAL NETWORKS WITH TEMPORAL MODELING FOR REAL TIME INCORPORATION (SENTRI) AUTISM AIDE

机译:用时间建模的神经网络突出特征提取(Sentri)自闭症辅助

摘要

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.
机译:基于图像的行为模式评估系统和方法,具有相机获取主题人员的面部表达式的图像,用于辅助辅助。人工智能过程使用来自相机的面部检测并检测主题人的面部。面部表情模块学习面部表情到行为的相关性,并创建主题行为分类的数据库,其中学习模块将数据库更新,其中具有当前学习的面部表达式到行为相关性相关性。比较和检测模块,从相机应用一个或多个当前获得的面部表达式,并将其与预先训练的行为分类进行比较,并确定当前行为分类何时迫在眉睫或目前被主题人员展示。当检测到当前的行为分类时,需要动作,助手是非侵入的,直接或间接向主题人负责的非主题人员发出信号,以提供实时辅助和减少的情况而不会影响有效性。

著录项

  • 公开/公告号US2021142047A1

    专利类型

  • 公开/公告日2021-05-13

    原文格式PDF

  • 申请/专利权人 EVERY LIFE WORKS LLC;

    申请/专利号US202017004634

  • 发明设计人 SOMNATH SENGUPTA;JONAH SENGUPTA;

    申请日2020-08-27

  • 分类号G06K9;G06N20;G06T7;G06T11/20;

  • 国家 US

  • 入库时间 2022-08-24 18:40:22

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