DETERMINING THAT A USER IS IN A VEHICLE OR DRIVING A VEHICLE BASED ON SENSOR DATA GATHERED BY A USER DEVICE
    1.
    发明申请
    DETERMINING THAT A USER IS IN A VEHICLE OR DRIVING A VEHICLE BASED ON SENSOR DATA GATHERED BY A USER DEVICE 有权
    用户根据用户设备传感器数据确定车辆或驾驶车辆

    公开(公告)号:US20160036964A1

    公开(公告)日:2016-02-04

    申请号:US14445748

    申请日:2014-07-29

    Abstract: A device may receive sensor data regarding a user device; and determine, based on the sensor data, that a user of the user device is in a vehicle or driving the vehicle. When determining that the user of the user device is in the vehicle or driving the vehicle, the device may compare the sensor data, received from the user device, with a reference dataset that includes reference data associated with users being present in or driving a vehicle, or determine that a value of a measurement, received as part of the sensor data, satisfies a threshold that is related to whether the user is in the vehicle or driving the vehicle. The device may output a particular control instruction to the user device based on determining that the user is in the vehicle or is driving the vehicle.

    Abstract translation: 设备可以接收关于用户设备的传感器数据; 并且基于传感器数据确定用户设备的用户在车辆中或驾驶车辆。 当确定用户设备的用户在车辆中或驾驶车辆时,设备可以将从用户设备接收的传感器数据与参考数据集进行比较,所述参考数据集包括与存在于车辆或驾驶车辆中的用户相关联的参考数据 或者确定作为传感器数据的一部分接收到的测量值满足与用户是在车辆中还是驾驶车辆有关的阈值。 该设备可以基于确定用户在车辆中或正在驾驶车辆来向用户设备输出特定的控制指令。

    Method to determine a pressure noise metric for fall detection systems

    公开(公告)号:US10330494B2

    公开(公告)日:2019-06-25

    申请号:US14160311

    申请日:2014-01-21

    Abstract: A wearable fall-detection device has a variety of sensors, including a pressure sensor, that provide signals for sampling environmental conditions acting on the device. An average of pressure data samples is used to determine a resultant that may indicate an amount of noise in a pressure data signal, and statistical analysis of the noise and the pressure signal average may be used to determine a confidence estimate value that indicates a level of confidence in the amount of noise that a pressure signal is subject to, or includes. The confidence estimate and known fall data, such as change in pressure between a person standing and lying, can create a threshold function that may adapt according to sampled data thus providing a customizable (either statically or dynamically) threshold function for comparing sensor data against rather than comparing data with just a linear threshold function.

    Systems and methods for determining vehicle battery health

    公开(公告)号:US10197631B2

    公开(公告)日:2019-02-05

    申请号:US14727238

    申请日:2015-06-01

    Abstract: Techniques described herein may be used to provide a driver of a vehicle with an accurate assessment of the remaining life of the vehicle battery. An on-board device may collect information from one or more sensors or devices within the vehicle. The information may be processed to generate a data set that accurately describes the current status and operating conditions of the battery. The data set may be used to evaluate the health of the battery and make predictions regarding the future performance of the battery, which may be communicated to the driver of the vehicle. Machine-learning techniques may be implemented to improve upon methodologies to evaluate the health of the battery and make predictions regarding battery performance.

    ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE
    8.
    发明申请
    ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE 有权
    车辆数据分析预测组件故障

    公开(公告)号:US20160035150A1

    公开(公告)日:2016-02-04

    申请号:US14447235

    申请日:2014-07-30

    CPC classification number: G07C5/008 G05B23/0254 G07C5/0841

    Abstract: Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle.

    Abstract translation: 可以分析车辆数据以预测潜在的部件故障,诊断故障代码(DTC)或与车辆相关的其他机械故障。 在一个实施方案中,可以从多个车辆接收车辆数据,车辆数据包括由车辆的车载诊断(OBD)系统产生的DTC。 可以使用预测模型来评估车辆数据,以输出对特定车辆可能发生的DTC的预测。

    SYSTEMS AND METHODS FOR DETERMINING VEHICLE BATTERY HEALTH
    10.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING VEHICLE BATTERY HEALTH 审中-公开
    用于确定车辆电池健康的系统和方法

    公开(公告)号:US20160349330A1

    公开(公告)日:2016-12-01

    申请号:US14727238

    申请日:2015-06-01

    CPC classification number: G01R31/3648 G07C5/008 G07C5/0816 G07C5/085

    Abstract: Techniques described herein may be used to provide a driver of a vehicle with an accurate assessment of the remaining life of the vehicle battery. An on-board device may collect information from one or more sensors or devices within the vehicle. The information may be processed to generate a data set that accurately describes the current status and operating conditions of the battery. The data set may be used to evaluate the health of the battery and make predictions regarding the future performance of the battery, which may be communicated to the driver of the vehicle. Machine-learning techniques may be implemented to improve upon methodologies to evaluate the health of the battery and make predictions regarding battery performance.

    Abstract translation: 本文描述的技术可用于为车辆的驾驶员准确评估车辆电池的剩余寿命。 车载设备可以从车辆内的一个或多个传感器或设备收集信息。 可以处理信息以产生准确描述电池的当前状态和操作条件的数据集。 数据集可以用于评估电池的健康状况,并且对电池的未来性能进行预测,其可以传达给车辆的驾驶员。 可以实施机器学习技术,以改进评估电池健康的方法,并对电池性能进行预测。

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