-
公开(公告)号：US20230225612A1
公开(公告)日：2023-07-20
申请号：US18186829
申请日：2023-03-20
Applicant: University of Washington
Inventor： Lynn B. McGrath , Anthony Law , Randall Bly , Shwetak N. Patel , Alex T. Mariakakis , Jacob Baudin
CPC classification number: A61B3/145 , G06N20/00 , A61B3/0008 , A61B3/11 , A61B5/4064 , G06N3/08 , G06V40/193 , G06N3/045
Abstract: In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.
-
公开(公告)号：US11647903B2
公开(公告)日：2023-05-16
申请号：US16618044
申请日：2018-05-31
Applicant: University of Washington
Inventor： Lynn B. McGrath , Anthony Law , Randall Bly , Shwetak N. Patel , Alex T. Mariakakis , Jacob Baudin
CPC classification number: A61B3/145 , A61B3/0008 , A61B3/11 , A61B5/4064 , G06N3/0454 , G06N3/08 , G06N20/00 , G06V40/193
Abstract: In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.
-
公开(公告)号：US20220240861A1
公开(公告)日：2022-08-04
申请号：US17164745
申请日：2021-02-01
Applicant: University of Washington
Inventor： Jason Hoffman , Shwetak N. Patel , Edward Wang , Varun Viswanath
Abstract: Examples of systems and methods for classifying SpO2 levels using smartphones are described. A wideband light source (e.g., a flash) may be used to illuminate a finger. A wideband imaging sensor (e.g., a camera) may be used to capture images of the illuminated finger. The smartphone may apply per-color channel gain adjustments to the captured images. The adjusted pixel data may be used as the basis of input to a classifier (e.g., a deep learning model). The classifier may be trained on ground truth data, such as from an induced hypoxia study. The classifier may output an SpO2 level blood in the finger.
-
4.发明授权公开(公告)号：US09971414B2
公开(公告)日：2018-05-15
申请号：US14779946
申请日：2014-04-01
Inventor： Shyamnath Gollakota , Shwetak N. Patel , Qifan Pu , Sidhant Gupta
Abstract: Examples of systems, devices, and methods are described herein that can provide for gesture recognition. Wireless communication signals are received from sources in an environment (e.g. cellular telephones, computers, etc.). Features of the wireless communication signals (e.g. Doppler shifts) are extracted and utilized to identify gestures. The use of wireless communication signals accordingly make possible gesture recognition in a whole-home environment that identifies gestures performed through walls or other obstacles.
-
5.发明申请SYSTEMS AND METHODS FOR SENSING ENVIRONMENTAL CHANGES USING EMI SIGNAL SOURCES AS SENSORS 审中-公开使用EMI信号源作为传感器感测环境变化的系统和方法公开(公告)号：US20150233998A1
公开(公告)日：2015-08-20
申请号：US14696236
申请日：2015-04-24
Inventor： Ke-Yu Chen , Gabriel A. Cohn , Sidhant Gupta , Shwetak N. Patel
CPC classification number: G01R31/086 , G01R29/0814 , G01R31/001 , G06F3/017 , G06F3/041 , G06F3/04883
Abstract: Systems and methods for sensing environmental changes using electromagnetic interference (EMI) signals are disclosed herein. An EMI monitoring system may be used to monitor an EMI signal of one or more EMI signal sources provided over a power line, e.g., in a home or building. The received EMI energy at the power line may be analyzed to detect variations in the EMI signature indicative of environmental changes occurring in the proximity of the signal sources. Examples include detection of gestures on or near liquid crystal displays using EMI signals generated by internal operation of the liquid crystal displays.
Abstract translation: 本文公开了使用电磁干扰（EMI）信号来感测环境变化的系统和方法。 可以使用EMI监测系统来监视在电力线上提供的一个或多个EMI信号源的EMI信号，例如在家庭或建筑物中。 可以分析电力线处接收到的EMI能量，以检测指示在信号源附近发生的环境变化的EMI标志中的变化。 示例包括使用由液晶显示器的内部操作产生的EMI信号来检测液晶显示器上或附近的手势。
-
Patent Agency Ranking
公开(公告)号：US11493371B2
公开(公告)日：2022-11-08
申请号：US15906513
申请日：2018-02-27
Applicant: University of Washington
Inventor： Shwetak N. Patel , James A. Fogarty , Jon E. Froehlich , Eric C. Larson
Abstract: By monitoring pressure transients in a liquid within a liquid distribution system using only a single sensor, events such as the opening and closing of valves at specific fixtures are readily detected. The sensor, which can readily be coupled to a faucet bib, transmits an output signal to a computing device. Each such event can be identified by the device based by comparing characteristic features of the pressure transient waveform with previously observed characteristic features for events in the system. These characteristic features, which can include the varying pressure, derivative, and real Cepstrum of the pressure transient waveform, can be used to select a specific fixture where a valve open or close event has occurred. Flow to each fixture and leaks in the system can also be determined from the pressure transient signal. A second sensor disposed at a point disparate from the first sensor provides further event information.
-
7.发明申请公开(公告)号：US20200150172A1
公开(公告)日：2020-05-14
申请号：US16743732
申请日：2020-01-15
Applicant: University of Washington
Inventor： Sidhant Gupta , Ke-Yu Chen , Shwetak N. Patel
Abstract: An apparatus including a sensing device configured to be coupled to an electrical outlet is provided. The sensing device can include a data acquisition receiver configured to receive electrical noise via the electrical outlet when the sensing device is coupled to the electrical outlet. The electrical outlet can be electrically coupled to an electrical power infrastructure. One or more electrical devices can be coupled to the electrical power infrastructure and can generate at least a portion of the electrical noise on the electrical power infrastructure. The data acquisition receiver can be configured to convert the electrical noise into one or more first data signals. The apparatus also can include a processing module configured to run on a processor of a computational unit. The sensing device can be in communication with the computational unit. The processing module can be further configured to identify each of two or more operating states of each of the one or more electrical devices at least in part using the one or more first data signals. The two or more operating states of each electrical device of the one or more electrical devices can be each different user-driven operating states of the electrical device when the electrical device is in an on-power state. Other embodiments are provided.
-
公开(公告)号：US09702123B2
公开(公告)日：2017-07-11
申请号：US14850421
申请日：2015-09-10
Inventor： Shwetak N. Patel , Timothy B. Campbell , Eric C. Larson , Gabriel A. Cohn
CPC classification number: E03B7/071 , F15B20/005 , F15B2211/21 , F15B2211/632 , F15B2211/7107 , F15B2211/87 , F15B2211/8755 , F15B2211/8855 , F16K17/40 , F16K31/02 , F16K31/12 , F16K37/0075 , G01M3/16 , Y10T137/0318
Abstract: Examples of automatic valve shutoff systems are described which may include an actuation device including an actuator and a valve attachment portion. The valve attachment portion may be configured for attachment with an existing valve in a fluid or compressible gas supply line. The system may further include a controller coupled to the actuation device, wherein the controller is configured to initiate a valve shutoff process in response to a wireless signal. Wake-up circuitry may be coupled to the controller and configured to monitor the supply line for vibrations and activate the controller in response to the vibrations.
-
9.发明申请DEVICES, SYSTEMS, AND METHODS FOR DETECTING GESTURES USING WIRELESS COMMUNICATION SIGNALS 有权使用无线通信信号检测手机的设备，系统和方法公开(公告)号：US20160054804A1
公开(公告)日：2016-02-25
申请号：US14779946
申请日：2014-04-01
Applicant: Shwetak N. PATEL , Qifan PU , Sidhant GUPTA , UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION
Inventor： Shyamnath Gollakata , Shwetak N. Patel , Qitan Pu , Sidhant Gupta
IPC: G06F3/01
Abstract: Examples of systems, devices, and methods are described herein that may provide for gesture recognition. Wireless communication signals may be received from sources in an environment (e.g. cellular telephones, computers, etc.). Features of the wireless communication signals (e.g. Doppler shifts) may be extracted and utilized to identify gestures. The use of wireless communication signals may accordingly make possible gesture recognition in a whole-home environment that may identify gestures performed through walls or other obstacles.
Abstract translation: 本文描述了可以提供手势识别的系统，设备和方法的示例。 可以在环境（例如蜂窝电话，计算机等）中的来源接收无线通信信号。 无线通信信号的特征（例如，多普勒频移）可被提取并用于识别手势。 因此，使用无线通信信号可以在整个家庭环境中进行可能的手势识别，其可以识别通过墙壁或其他障碍物执行的手势。
-
公开(公告)号：US20150317076A1
公开(公告)日：2015-11-05
申请号：US14646528
申请日：2013-12-11
Inventor： Mayank Goel , Jacob O. Wobbrock , Shwetak N. Patel , Leah Findlater
IPC: G06F3/0488 , G06F3/041 , G06N7/00
CPC classification number: G06F3/0488 , G06F3/0237 , G06F3/0416 , G06F3/04842 , G06F3/04886 , G06F2203/04104 , G06F2203/04106 , G06N7/005
Abstract: A system for classifying a user touch event by a user interacting with a device as an intended key is provided. For different hand postures (e.g., holding device with right hand and entering text with right thumb), the system provides a touch pattern model indicating how the user interacts using that hand posture. The system receives an indication of a user touch event and identifies the hand posture of the user. The system then determines the intended key based on the user touch event and a touch pattern model for the identified hand posture. A system is also provided for determining the amount a presser a user is applying to the device based on dampening of vibrations as measured by an inertial sensor. A system is provided that uses motion of the device as measured by an inertial sensor to improve the accuracy of text entry.
Abstract translation: 提供了一种用于将用户与设备交互作为预期密钥的用户对用户触摸事件进行分类的系统。 对于不同的手姿势（例如，用右手握持装置并用右拇指输入文本），系统提供指示用户如何使用该手势进行交互的触摸模式模型。 系统接收用户触摸事件的指示并识别用户的手势。 然后，系统基于用户触摸事件和用于所识别的手势的触摸模式模型来确定预期的键。 还提供了一种系统，用于根据由惯性传感器测量的振动衰减来确定用户施加到设备的压力的量。 提供了一种使用由惯性传感器测量的设备的运动以提高文本输入的准确度的系统。
-
-
-
-
-
-
-
-
-
Search Results
39
records
(took 0.02 seconds)
