Systems and methods for real-time tracking of trajectories using motion sensors

    公开(公告)号:US12111982B2

    公开(公告)日:2024-10-08

    申请号:US18465409

    申请日:2023-09-12

    CPC classification number: G06F3/0346 G06F1/163 G06F3/014

    Abstract: Tracking motion using inertial sensors embedded in commercial grade wearables like smartwatches has proved to be a challenging task, especially if real-time tracking is a requirement. Present disclosure provides system and method wherein data from sensors are obtained and scaled. Further, Euler Rodrigues Matrix (ERM) is generated based delta value obtained using sensor data. The scaled sensor data and ERM are used for generating feature vectors. Windowing technique is applied for subsets of feature vectors to obtain label for each window and machine learning model is trained with the label and window. Further, during real-time, sensor data is obtained, and steps of ERM, feature vectors generation, and application of windowing technique are repeated, and coordinates are estimated for each window in real-time based on which trajectories are tracked in real-time for each window.

    Wearable apparatus and a method for calculating drift-free plantar pressure parameters for gait monitoring

    公开(公告)号:US11350851B2

    公开(公告)日:2022-06-07

    申请号:US16827756

    申请日:2020-03-24

    Abstract: The present disclosure provides wearable apparatus and method for calculating drift-free plantar pressure parameters for gait monitoring of an individual. Most conventional techniques use different kind of sensors placed in in-sole based wearable apparatus but are costly and not effective in calculating accurate plantar pressure parameters. The disclosed wearable apparatus uses off-the shelf piezoelectric sensors that are widely available in market with less cost. The drift-free plantar pressure parameters are calculated using drift-free static pressure data obtained by numerically integrating acquired dynamic sensor data from the piezoelectric sensors, using a LiTCEM correction mechanism. A 6-DOF Inertial Measurement Unit (IMU sensor) helps in isolating zero-pressure duration indicating when a foot of the individual is in air during a stride, while obtaining the drift-free static pressure data. The disclosed wearable apparatus calculate the drift-free plantar pressure parameters for long duration and facilitates monitoring walking patterns of the individual.

    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.

    Systems and methods for authenticating drivers based on GPS data

    公开(公告)号:US10339287B2

    公开(公告)日:2019-07-02

    申请号:US15913515

    申请日:2018-03-06

    Abstract: Currently automobiles use embedded sensors and computational powers for performance optimization. For better performance and maintenance knowing driver and driving style is important. It is known that driver identification can be achieved using dedicated sensors. Since these are external sensors they add to cost and also deployment of many sensors increases operational and maintenance overhead. Embodiments of the present disclosure obtain GPS data including trip information pertaining to a vehicle being driven by a driver and features are extracted from trip information which are ranked by comparing these features with features associated with trip information of other drivers to selectively identify and obtain ranked features. Value of each ranked feature is compared with value of corresponding feature pertaining to driving patterns and an abnormality score for each relevant feature is generated and the driver is authenticated based on the abnormality score.

    ESTIMATING PHYSIOLOGICAL PARAMETERS
    49.
    发明申请
    ESTIMATING PHYSIOLOGICAL PARAMETERS 有权
    估计生理参数

    公开(公告)号:US20160113531A1

    公开(公告)日:2016-04-28

    申请号:US14665657

    申请日:2015-03-23

    Abstract: A physiological parameter measurement device comprising a processor and a video processing module coupled to the processor to divide each of a plurality of frames of a video into a plurality of blocks, where the video is of a body part of a subject whose physiological parameter is to be determined. The video processing module further is to select a block having highest peak signal to noise ratio (PSNR) from amongst the plurality of blocks. Further, the video processing module is to extract a photoplethysmogram (PPG) signal from the video based on a block identifier associated with the block. The physiological parameter measurement device further comprises a signal enhancement module coupled to the processor, to process the PPG signal to obtain an enhanced PPG signal for determining a value of the physiological parameter for the subject.

    Abstract translation: 一种生理参数测量装置,包括处理器和视频处理模块,所述处理器和视频处理模块耦合到所述处理器,以将视频的多个帧中的每一个划分成多个块,其中所述视频是其生理参数为 确定。 视频处理模块还要从多个块中选择具有最高峰值信噪比(PSNR)的块。 此外,视频处理模块基于与该块相关联的块标识符从视频提取光电容积图(PPG)信号。 生理参数测量装置还包括耦合到处理器的信号增强模块,以处理PPG信号以获得用于确定对象的生理参数的值的增强的PPG信号。

    System and method for detecting anomaly associated with driving of a vehicle
    50.
    发明授权
    System and method for detecting anomaly associated with driving of a vehicle 有权
    用于检测与车辆驾驶有关的异常的系统和方法

    公开(公告)号:US09165325B2

    公开(公告)日:2015-10-20

    申请号:US14327211

    申请日:2014-07-09

    CPC classification number: G06Q40/08 B60W40/09 G05B23/0232 G07C5/008 G07C5/085

    Abstract: Disclosed are a device, system and methods for detecting an anomaly associated with driving of a vehicle. Z-axis acceleration data is determined at the device. Based on the Z-axis acceleration data, jerk energies are computed and transmitted to the system for analysis. Further, the jerk energies are received for a plurality of trips at the system. Further, at the system, statistical analysis is performed on the jerk energies for determining a hazard rate for each trip of the plurality of trips. Then based on the hazard rate determined for each of the plurality of trips, a trend analysis is performed. Based on the trend analysis, any anomaly associated with the driving of the vehicle is detected. Further, the anomaly detected may be notified to a person associated with the device or with a monitoring terminal.

    Abstract translation: 公开了一种用于检测与车辆驾驶有关的异常的装置,系统和方法。 在设备上确定Z轴加速度数据。 基于Z轴加速度数据,计算冲击能量并将其传输到系统进行分析。 此外,在系统处接收多次跳闸的冲击能量。 此外,在该系统中,对用于确定多次旅行中的每个行程的危险率的冲击能量进行统计分析。 然后,基于为多个行程中的每一个确定的危险率,进行趋势分析。 根据趋势分析,检测到与车辆行驶有关的任何异常情况。 此外,检测到的异常可以被通知给与设备相关联的人或与监视终端。

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