METASURFACE BEAM STEERING ANTENNA AND METHOD OF SETTING ANTENNA BEAM ANGLE

    公开(公告)号:US20230291119A1

    公开(公告)日:2023-09-14

    申请号:US18112724

    申请日:2023-02-22

    CPC classification number: H01Q21/065 H01Q15/002 H01Q3/38

    Abstract: This disclosure relates generally to metasurface beam steering antenna and method of setting antenna beam angle. Conventional approaches perform electronically beam steering using phase array which requires bandwidth with higher data rates. The present disclosure enables metasurface antennas tilt antenna beam in a given direction, where the varactor diodes are operated in reverse bias so that different values of capacitors combination lead to electronic beam scanning. The processor of the metasurface beam steering antenna receives a command having an input angle to tilt the angle beam position. The processor processes the command by mapping the input angle with the set of c-shaped copper patch combination having the capacitor values using a predefined lookup table for setting the antenna beam angle based on a reference voltage generated by the varactor diode. The lookup table is iteratively updated with the capacitor values of the c-shaped copper patches.

    METHOD AND SYSTEM FOR ACTIVITY RECOGNITION AND BEHAVIOUR ANALYSIS

    公开(公告)号:US20190377916A1

    公开(公告)日:2019-12-12

    申请号:US16434597

    申请日:2019-06-07

    Abstract: Energy remains a critical challenge for continuous sensing: with low-capacity batteries, wearable devices require frequent charging. In contrast, installing sensors in everyday ‘smart objects’, such as kitchen cabinets, household appliances and office equipment, supports ADL detection via indirect observations on human interaction with such objects, but cannot provide individual-specific insights in multi-tenanted environments. The embodiments herein provide a method and system for energy efficient activity recognition and behavior analysis. Architecture disclosed utilizes a hybrid mode of inexpensive, battery-free sensing of physical activities performed by a subject been monitored during his Activities for Daily Living (ADLs). The sensing combines object interaction sensing with person-specific wearable sensing to recognize individual activities in smart spaces. The method and system disclosed quantifies a probabilistic approach that uses longitudinal observations of user-item interactions, over each individual episode, to compute the anomalous behavior of the subject.

    SYSTEM AND METHOD FOR HEART RATE ESTIMATION
    4.
    发明申请

    公开(公告)号:US20180338727A1

    公开(公告)日:2018-11-29

    申请号:US15869207

    申请日:2018-01-12

    Abstract: Techniques for heart rate estimation are disclosed. In an embodiment, synchronized photoplethysmograph (PPG) and 3-axis acceleration signals are received. Further, the PPG and acceleration signals are partitioned into windows. Furthermore, it is determined whether motion is present in a window of the acceleration signal. Moreover, Fourier transform is performed on the signals to obtain power spectra of the signals in the window when there is motion. Also, it is determined whether a peak of the acceleration signal is present in a range around first highest PPG peak. Further, it is determined whether the peak of the acceleration signal affects heart rate of the user when the peak of the acceleration signal is in the range around the highest PPG peak. The heart rate of the user in the window is then estimated using second highest PPG peak when the peak of the acceleration signal affects heart rate of the user.

    METHOD AND SYSTEM FOR PHASELESS PASSIVE SYNTHETIC APERTURE RADAR IMAGING

    公开(公告)号:US20240077606A1

    公开(公告)日:2024-03-07

    申请号:US18364345

    申请日:2023-08-02

    CPC classification number: G01S13/9021

    Abstract: The present invention relates to a method and system for Phaseless Passive Synthetic Aperture Radar (PPSAR) imaging. Existing method for image reconstruction requires large number of measurements for satisfactory PPSAR image reconstruction. However, this leads to provisioning of more on-board storage and/or a high-speed data link between a mobile platform and a ground station. These requirements are undesirable in practice as PPSAR image reconstruction systems are deployed on resource constrained platforms. The present disclosure uses a regularized Wirtinger Flow (rWF) based approach that uses appropriate regularizers to facilitate the PPSAR image reconstruction with fewer measurements. Further the PPSAR image reconstruction is achieved using Alternating Direction Method of Multipliers (ADMM) by employing standard denoisers such as Total Variation (TV), Block-matching and 3D filtering (BM3D) and, Deep Image Prior (DIP). Further the present disclosure considers an actual location of transmitter for PPSAR imaging that yields better image reconstruction.

    DETERMINATION OF CARDIOPULMONARY SIGNALS FOR MULTI-PERSONS USING IN-BODY SIGNALS OBTAINED BY UWB RADAR

    公开(公告)号:US20210401296A1

    公开(公告)日:2021-12-30

    申请号:US17156395

    申请日:2021-01-22

    Abstract: The disclosure herein generally relates to the field of determination of cardiopulmonary signals for multi-persons, and, more particularly, to determination of cardiopulmonary signals for multi-persons using in-body signals obtained by ultra-wide band (UWB) radar. The disclosed method determines of cardiopulmonary signals for multi-persons using in-body signals, wherein a UWB radar signals/waves reflected from inside a human body is utilized for efficient determination of cardiopulmonary signals. The disclosed method and system utilize the UWB radar signals to identify a number of persons along with several details about the persons that include a girth of the each identified person and the orientation of the identified person towards the one or more UWB radar. Further a chest wall distance, a breathing rate, a heart wall distance and a heart rate are determined for all the identified persons based on the identified girth and the identified orientation along with the UWB radar signals.

    METHOD AND SYSTEM FOR UNOBTRUSIVE LIVELINESS DETECTION AND MONITORING USING DFR IN AN IOT NETWORK

    公开(公告)号:US20210199796A1

    公开(公告)日:2021-07-01

    申请号:US17105242

    申请日:2020-11-25

    Abstract: Radar based HR and BR measurements by simultaneous decoding is a technical problem due to presence of intermodulation of BR and HR harmonics, which degrades simultaneous decoding. Embodiments herein provide a method and system for unobtrusive liveliness detection and monitoring of a subject using a Dual Frequency Radar (DFR) in an IOT network. The system has the capability to completely process the captured raw signals onboard to by applying required signal conditioning and extraction of relevant information using unique signal processing techniques for determining the HR and the BR of the subject accurately. The intermodulation of BR and HR harmonics is eliminated by the system by performing frequency spectrum averaging of both radars signals, which improves the accuracy. Further, the system is configured with a light MQTT protocol and encoding modules for any data to be shared for off board processing, ensuring data security and privacy compliance.

    SYSTEM AND METHOD FOR TRACKING MOTION OF TARGET IN INDOOR ENVIRONMENT

    公开(公告)号:US20200284895A1

    公开(公告)日:2020-09-10

    申请号:US16775592

    申请日:2020-01-29

    Abstract: This disclosure relates generally to tracking motion of target in indoor environment. The method includes estimating an initial position of the target in a mesh grid form based on radar data captured from radar devices installed in the indoor environment. For a subsequent target movement, a subsequent position of the target is estimated in the mesh grid form based on the initial position and a resultant velocity vector of the target. A number of outlier grid-points is computed with a threshold number, and based on comparison the outlier grid-points are either replaced with interpolated grid-points or the subsequent position of the target is repaired based on a probable position of the target obtained from at least one of a linear regression based analysis of prior positions of the target, prior knowledge of the target velocity and sampling interval, and a trilateration based technique.

    SYSTEM AND METHOD FOR MONITORING DRIVING BEHAVIOR OF A DRIVER
    10.
    发明申请
    SYSTEM AND METHOD FOR MONITORING DRIVING BEHAVIOR OF A DRIVER 有权
    用于监控驾驶员驾驶行为的系统和方法

    公开(公告)号:US20160282124A1

    公开(公告)日:2016-09-29

    申请号:US15074641

    申请日:2016-03-18

    CPC classification number: G01C21/165 B60W40/09 G07C5/0816

    Abstract: This disclosure relates generally to data processing, and more particularly to a system and method for monitoring driving behavior of a driver. In one embodiment, a system (102) for monitoring driving behavior of a driver is disclosed. The system (102) may configure a processor (202) to execute computer-readable instructions (208) stored in a memory (206) in order to: capture a plurality of acceleration samples; compute Kurtosis values and Skewness values corresponding to a set of acceleration samples; filter the Kurtosis values; determine a probability distribution function of the filtered Kurtosis values; compute a mean and a standard deviation associated with the filtered Kurtosis values; determine a first threshold for each driver based upon the mean and the standard deviation; compute a first score for each driver based upon the first threshold and the number of trips; determine a second threshold; compute a second score for each driver based upon the second threshold and the number of trips; and evaluate driving behavior of a driver based upon the first score and the second score.

    Abstract translation: 本公开一般涉及数据处理,更具体地涉及用于监视驾驶员驾驶行为的系统和方法。 在一个实施例中,公开了一种用于监视驾驶员驾驶行为的系统(102)。 系统(102)可以配置处理器(202)以执行存储在存储器(206)中的计算机可读指令(208),以便:捕获多个加速度采样; 计算对应于一组加速度样本的峰值和斜度值; 过滤峰值值; 确定滤波的峰值的概率分布函数; 计算与过滤的峰值相关联的平均值和标准偏差; 基于平均值和标准偏差确定每个驾驶员的第一阈值; 基于第一阈值和行程数计算每个驾驶员的第一分数; 确定第二阈值; 基于第二阈值和行程数计算每个驾驶员的第二分数; 并基于第一分数和第二分数来评估驾驶员的驾驶行为。

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