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DEVICE AND METHOD FOR DETECTING USER ACTIVITY BY PARALLELIZED CLASSIFICATION

机译:通过有序分类来检测用户活动的设备和方法

摘要

A device, particularly a mobile device is provided, comprising a plurality of sensors. The mobile device is configured to, in a testing phase, obtain data from the plurality of sensors; apply a plurality of trained classifiers on the obtained data, wherein each trained classifier is associated to one of the sensors; estimate, in each of the plurality of trained classifiers, a probability for each of a plurality of classes of a transportation mode of the device; and determine a transportation mode of the device based on the probabilities estimated in each of the trained classifiers. This disclosure also presents a device, particularly a server device. The server device is configured to, in a training phase, obtain training data of another device, particularly mobile device, comprising a plurality of sensors; associate a classifier to each of the sensors; train each classifier using the obtained training data; and provide the trained classifiers to the another device.
机译:提供一种设备,尤其是移动设备,其包括多个传感器。所述移动设备被配置为在测试阶段从所述多个传感器获得数据。在获得的数据上应用多个训练过的分类器,其中每个训练过的分类器与传感器之一相关联;在所述多个训练分类器的每一个中,估计所述设备的运输模式的多个分类中的每一个的概率;并基于在每个训练过的分类器中估计的概率来确定设备的运输模式。本公开还提出了一种设备,特别是服务器设备。该服务器设备被配置为在训练阶段中获得另一设备的训练数据,该另一设备尤其是移动设备包括多个传感器;将分类器关联到每个传感器;使用获得的训练数据训练每个分类器;并将经过训练的分类器提供给另一台设备。

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