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公开(公告)号：US20200167783A1
公开(公告)日：2020-05-28
申请号：US16199502
申请日：2018-11-26
发明人： Sophie Bermudez , Alexandra Colevas , Sarah Cunningham , Michael Saia , Kaylyn Gibilterra , Salik Shah
IPC分类号： G06Q20/40 , G06F16/2457 , G06F16/22 , G06Q20/10
摘要： A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.
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公开(公告)号：US10524127B1
公开(公告)日：2019-12-31
申请号：US16351429
申请日：2019-03-12
发明人： Kaitlin Newman , Kimberly Haynes , Charles Nathan Crank , Andrew Cogswell , Colin Hart , Jeffrey Rule , Lara Mossler , Latika Gulati , Abdelkader Benkreira , Sarah Jane Cunningham , Sophie Bermudez , Michael Mossoba , Wayne Lutz
摘要： Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.
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公开(公告)号：US10249293B1
公开(公告)日：2019-04-02
申请号：US16005277
申请日：2018-06-11
发明人： Michael Mossoba , Joshua Edwards , Abdelkadar M'Hamed Benkreira , Austen Novis , Sophie Bermudez
摘要： A device may receive audio data based on a capturing of sounds associated with a structure. The device may obtain a model associated with the structure. The model may have been trained to receive the audio data as input, determine a score that identifies a likelihood that a sound is present in the audio data, and identify the sound based on the score. The device may determine at least one parameter associated with the sound. The device may generate a metric based on the at least one parameter associated with the sound, and perform an action based on the metric.
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