SENTIMENT ANALYSIS OF MENTAL HEALTH DISORDER SYMPTOMS

    公开(公告)号:US20180366144A1

    公开(公告)日:2018-12-20

    申请号:US15822854

    申请日:2017-11-27

    摘要: Monitoring and analysis of a user's speech to detect symptoms of a mental health disorder by continuously monitoring a user's speech in real-time to generate audio data based, transcribing the audio data to text and analyzing the text of the audio data to determine a sentiment of the audio data is disclosed. A trained machine learning model may be applied to correlate the text and the determined sentiment to clinical information associated with symptoms of a mental health disorder to determine whether the symptoms are a symptom event. The initial determination may be transmitted to a second device to determine (and/or verify) whether or not the symptom event was falsely recognized. The trained machine learning model may be updated based on a response from the second device

    SECURE, SERENDIPITOUS SOCIAL CONNECTION VIA REAL-TIME BIOMETRICS AND COGNITIVE STATE COMPARISON
    64.
    发明申请
    SECURE, SERENDIPITOUS SOCIAL CONNECTION VIA REAL-TIME BIOMETRICS AND COGNITIVE STATE COMPARISON 审中-公开
    通过实时生物识别和认知状态比较确保安全,连贯的社会关系

    公开(公告)号:US20170076000A1

    公开(公告)日:2017-03-16

    申请号:US14856194

    申请日:2015-09-16

    IPC分类号: G06F17/30

    摘要: Methods and systems for matching users include measuring a biometric state of a first user. The biometric state of the first user is matched to a set of biometric states of respective other users. The set of biometric states is limited in accordance with user preferences including how recently each biometric state was measured. A real-time connection is formed with a second user from the limited set of biometric states having a best match.

    摘要翻译: 用于匹配用户的方法和系统包括测量第一用户的生物测定状态。 第一用户的生物测定状态与各个其他用户的一组生物特征状态相匹配。 该组生物特征状态根据用户偏好而受到限制,包括最近测量每个生物测定状态。 从具有最佳匹配的有限的一组生物特征状态形成与第二用户的实时连接。

    SCALABLE VISUALIZATION OF A PRODUCT AND ITS VARIANTS

    公开(公告)号:US20150309710A1

    公开(公告)日:2015-10-29

    申请号:US14618278

    申请日:2015-02-10

    发明人: Maryam Ashoori Jin Li

    IPC分类号: G06F3/0484 G06F17/30

    摘要: A method for generating a scalable visualization of a hierarchical data structure is provided. The method may include mapping at least one component within a plurality of components to the hierarchical data structure. The method may also include mapping at least one sub-component within a plurality of sub-components to the at least one mapped component. The method may further include mapping at least one variant within a plurality of variants to the hierarchical data structure as an accordion user interface widget. Additionally, the method may include mapping at least one variant component within a plurality of variant components to the at least one mapped variant as an accordion user interface widget. The method may also include mapping at least one variant sub-component within a plurality of variant sub-components to the at least one mapped variant component as an accordion user interface widget.