DETERMINING LOCATION OF A USER DEVICE
    1.
    发明申请
    DETERMINING LOCATION OF A USER DEVICE 有权
    确定用户设备的位置

    公开(公告)号:US20170006436A1

    公开(公告)日:2017-01-05

    申请号:US15200781

    申请日:2016-07-01

    CPC classification number: H04W4/33 G01S5/0252 H04W4/021 H04W4/043

    Abstract: Method(s) and System(s) for determining location of a user device within a premise are described. The method includes identifying multiple zones with physical boundaries within the premise based on parameters associated with geometry of the premise. The premise includes multiple access points distributed across the multiple zones. Thereafter, the method includes collecting a first set of Received Signal Strength Indicator (RSSI) Data that is representative of strength of signals received from each accessible access point, at different locations within the premise. After collecting the first set, the method includes computing a Variable Path Loss Exponent (VPLE) within each zone for each accessible access point for determining location of the user device based on at least one of the first set of RSSI data, a line of sight condition, a non-line of sight condition and distance between each accessible access point from each location.

    Abstract translation: 描述用于确定内部用户设备位置的方法和系统。 该方法包括基于与前提的几何结构相关联的参数在前提内识别具有物理边界的多个区域。 前提包括跨多个区域分布的多个接入点。 此后,该方法包括在前提内的不同位置处收集代表从每个可访问接入点接收的信号的强度的第一组接收信号强度指示符(RSSI)数据。 在收集第一组之后,该方法包括针对每个可访问接入点计算每个区域内的可变路径损耗指数(VPLE),以基于第一组RSSI数据,视线中的至少一个来确定用户设备的位置 条件,非线视线条件和每个位置的每个可访问接入点之间的距离。

    Method and system for digital biomarkers platform

    公开(公告)号:US12237086B2

    公开(公告)日:2025-02-25

    申请号:US17653248

    申请日:2022-03-02

    Abstract: Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.

    PATIENT INVARIANT MODEL FOR FREEZING OF GAIT DETECTION BASED ON EMPIRICAL WAVELET DECOMPOSITION

    公开(公告)号:US20220359078A1

    公开(公告)日:2022-11-10

    申请号:US17684992

    申请日:2022-03-02

    Abstract: This disclosure relates generally to patient invariant model for freezing of gait detection based on empirical wavelet decomposition. The method receives a motion data from an accelerometer sensor coupled to an ankle of a subject. The motion data is further processed to denoise a plurality of data windows using a peak detection technique to classify into a real motion data window or a noisy data window. Further, a plurality of denoised data windows are generated by processing spectrums associated with each real motion data window and a plurality of empirical modes using an empirical wavelet decomposition technique (EWT). Then, a resultant acceleration is computed, and a plurality of features are extracted from the denoised data window which enables detection of freezing of gait based on a pretrained classifier model into a (i) a positive class, or (ii) a negative class.

    Method and system for heart rate estimation of a user

    公开(公告)号:US11490824B2

    公开(公告)日:2022-11-08

    申请号:US17013274

    申请日:2020-09-04

    Abstract: While performing heart rate estimation of a user, if the user is in motion, a signal is measured and is likely to have noise data, which in turn affects accuracy of estimated heart rate value. Method and system for heart rate estimation when the user is in motion is disclosed. The system estimates value of a noise signal present in a measured PPG signal by performing a Principal Component Analysis (PCA) of an accelerometer signal collected along with the PPG signal. The system further estimates value of a true cardiac signal for a time window, based on value of the true cardiac signal in a pre-defined number of previous time windows. The system then estimates frequency spectrum of a clean PPG signal based on the estimated noise signal and the true cardiac signal. The system further performs heart rate estimation based on the clean PPG signal.

    Systems and methods for fusing inertial and bluetooth low energy sensor data for localization

    公开(公告)号:US10397753B2

    公开(公告)日:2019-08-27

    申请号:US15336191

    申请日:2016-10-27

    Abstract: Sensor data fusing systems and methods are provided. The fusing system reads and parses a floor plan to obtain a location of a user, identifies a grid in the floor plan using the location, determines a distance between the user and beacons placed at every corner of identified grid, and further trilaterating the location using beacon identifiers. The system further assigns a weight to the trilaterated location based on the distance between the user and the beacons in the grid to obtain a first set of weights, and computes one or more weights using number of particles generated with respect to an inertial measurement obtained from an inertial sensor to obtain a second set of weights. The fusing system further fuses the first set of weights and the second set of weights to obtain a first and a second co-ordinate that indicates specific position of the user in the location.

    System and method for heart rate estimation

    公开(公告)号:US11039792B2

    公开(公告)日:2021-06-22

    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 tremor assessment using photoplethysmography (PPG)

    公开(公告)号:US11707208B2

    公开(公告)日:2023-07-25

    申请号:US17200973

    申请日:2021-03-15

    CPC classification number: A61B5/1101 A61B5/1126 A61B5/7257

    Abstract: Existing wearable device-based approaches to capture a_tremor signal have accuracy limitations due to usage of accelerometer sensor with inherent noisy nature. The method and system disclosed herein taps characteristics of the PPG sensor of being sensitive to the motion artifact, as an advantage, to capture tremor_signals present in the PPG sensor. The method disclosed herein describes an approach to extract tremor_signals of interest from the PPG signal by performing a Singular Spectrum Analysis (SSA) followed by spectrum density estimation. The SSA comprises performing embedding on the acquired PPG signal, performing Principal Component Analysis (PCA) on the embedded signal and reconstructing the rest tremor signal from the significant principal components identified post the PCA. Further, the spectrum density estimation detects a dominant frequency present in the principal components, which is the dominant frequency associated with the rest tremor.

    Determining location of a user device

    公开(公告)号:US09967715B2

    公开(公告)日:2018-05-08

    申请号:US15200781

    申请日:2016-07-01

    CPC classification number: H04W4/33 G01S5/0252 H04W4/021 H04W4/043

    Abstract: Method(s) and System(s) for determining location of a user device within a premise are described. The method includes identifying multiple zones with physical boundaries within the premise based on parameters associated with geometry of the premise. The premise includes multiple access points distributed across the multiple zones. Thereafter, the method includes collecting a first set of Received Signal Strength Indicator (RSSI) Data that is representative of strength of signals received from each accessible access point, at different locations within the premise. After collecting the first set, the method includes computing a Variable Path Loss Exponent (VPLE) within each zone for each accessible access point for determining location of the user device based on at least one of the first set of RSSI data, a line of sight condition, a non-line of sight condition and distance between each accessible access point from each location.

    COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR WI-FI BASED INDOOR LOCALIZATION
    10.
    发明申请
    COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR WI-FI BASED INDOOR LOCALIZATION 有权
    计算机实现系统和基于WI-FI的室内定位的方法

    公开(公告)号:US20150257014A1

    公开(公告)日:2015-09-10

    申请号:US14560741

    申请日:2014-12-04

    CPC classification number: H04W16/20 G01S5/0252 H04W4/04 H04W24/10

    Abstract: The present disclosure envisages a computer implemented system and method for Wi-Fi based indoor localization. The system includes a repository for storing attributes of the floor plan of an indoor area with respect to the zones on the floor plan. A communicating module receives a threshold number of data points from user devices located in the area. These data points include a plurality of Received Signal Strength Indicators (RSSI) captured from the access points positioned in the area. A k-means clustering is then performed on the data points for grouping the data points into ‘k’ number of clusters and a decision tree is built by following a condition based approach. Distance values are then calculated pertaining to the RSSIs stored at the decision tree, and zone circles are plotted. Zone of user presence is then determined by correlating the plotted zone circles upon the floor plan using maximum overlap property.

    Abstract translation: 本公开设计了用于基于Wi-Fi的室内定位的计算机实现的系统和方法。 该系统包括用于存储关于平面图上的区域的室内平面图的属性的存储库。 通信模块从位于该区域中的用户设备接收阈值数量的数据点。 这些数据点包括从位于该区域中的接入点捕获的多个接收信号强度指示符(RSSI)。 然后对数据点执行k均值聚类,以将数据点分组为“k”个簇,并通过遵循基于条件的方法构建决策树。 然后计算与决定树上存储的RSSI相关的距离值,并绘制区域圆。 然后通过使用最大重叠属性将平面图上绘制的区域圆相关联来确定用户存在区域。

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