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    • 11. 发明授权
    • Advertisement exchange using neuro-response data
    • 广告交换使用神经反应数据
    • US08335715B2
    • 2012-12-18
    • US12622292
    • 2009-11-19
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • G06Q30/00
    • G06Q30/02G06Q30/0251
    • An advertisement exchange determines characteristics associated with advertisement slots such as slots in a commercial pod, locations on a printed page, banners in a video, billboards, etc. Characteristics may include demographic information, advertisement type, and neuro-response characteristics such as priming, attention, engagement, and retention. Advertisement slots are matched with advertisements and may be selected, purchased, exchanged, and analyzed by advertisers, individuals, corporations, and firms. In some examples, bids and offers are made for advertisement slots based on advertisement slot characteristics. Advertisement slot characteristics may be changed in real-time as placement of advertisements in surrounding slots changes the characteristics of a particular slot.
    • 广告交换机确定与广告时隙相关联的特征,例如商业广告牌中的时隙,打印页面上的位置,视频中的横幅,广告牌等。特征可以包括人口统计信息,广告类型和神经反应特征,例如启动, 关注,参与和保留。 广告位与广告相匹配,可由广告客户,个人,公司和公司进行选择,购买,交换和分析。 在一些示例中,基于广告位特征对广告时段进行出价和报价。 广告时隙特征可以被实时改变,因为在周围时隙中的广告的布置改变了特定时隙的特征。
    • 16. 发明申请
    • NEUROLOGICAL SENTIMENT TRACKING SYSTEM
    • 神经传感追踪系统
    • US20110270620A1
    • 2011-11-03
    • US13045457
    • 2011-03-10
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • G06Q99/00
    • G06Q30/02G06Q10/04
    • Distributed mechanisms are provided for implementing a neurological sentiment tracking system to collect and analyze consumer and business sentiment. Neuro-response data as well as optional survey and interview data may be collected from subjects about personal finance expectations, anticipated hiring expectations, views on prospects for the economy in the short and long term, purchase expectations, etc. Neuro-response data collection mechanisms such as Electroencephalography (EEG) and/or facial emotion encoding can be used along with surveys and interviews to collect data from subjects in a variety of environments. Collected data may be aggregated to aid in economic forecasting and modeling. Data may be continuously collected to provide high temporal resolution. Analysis may also be performed to determine impacts of particular events on sentiment.
    • 提供分布式机制,用于实施神经情绪跟踪系统,以收集和分析消费者和商业情绪。 可以从关于个人理财预期,预期招聘期望,对短期和长期经济前景的看法,购买期望等方面的科目收集神经反应数据以及可选的调查和面试数据。神经反应数据收集机制 例如脑电图(EEG)和/或面部情感编码可以与调查和访谈一起使用,以从各种环境中的主题收集数据。 收集的数据可以被汇总以帮助经济预测和建模。 可以连续收集数据以提供高时间分辨率。 也可以进行分析以确定特定事件对情绪的影响。
    • 20. 发明申请
    • BRAIN PATTERN ANALYZER USING NEURO-RESPONSE DATA
    • 脑图谱分析仪使用神经元响应数据
    • US20100145215A1
    • 2010-06-10
    • US12544921
    • 2009-08-20
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • Anantha PradeepRobert T. KnightRamachandran Gurumoorthy
    • A61B5/0484A61B5/04
    • A61B5/0484A61B5/0496A61B5/05A61B5/165A61B5/4035G16H50/20G16H50/50
    • A system obtains neuro-response data such as central nervous system, autonomic nervous system, and effector system measurements from subjects exposed to stimulus material. Stimulus material is categorized and/or tagged. Survey based responses and resulting linguistic, perceptual, expressive, and/or motor responses are obtained, integrated with neuro-response data, and stored in a brain pattern analyzer repository. Neurological signatures for concepts such as yes, no, buy, purchase, acquire, like, dislike, correct, incorrect can be determined on a group, subgroup, or individual basis and stored in the brain pattern analyzer repository. The brain pattern analyzer repository may be used to predict behavior based on neurological signatures and/or similarly categorized and tagged stimulus materials that elicit corresponding neuro-response patterns for particular subject groups.
    • 系统从暴露于刺激材料的受试者获得诸如中枢神经系统,自主神经系统和效应系统测量的神经反应数据。 刺激物质被分类和/或标记。 获得基于调查的反应和所得到的语言,感知,表达和/或运动反应,与神经反应数据相结合,并存储在脑模式分析仪库中。 概念的神经学签名,如是,否,购买,购买,获取,喜欢,不喜欢,正确,不正确可以在组,子组或个人的基础上确定并存储在脑模式分析器库中。 脑模式分析器库可以用于基于神经学特征和/或类似分类和标记的刺激材料来预测行为,所述刺激材料为特定受试者组引起相应的神经反应模式。