公开(公告)号：US20200054288A1

公开(公告)日：2020-02-20

申请号：US16543518

申请日：2019-08-17

申请人： Volkan Vural

发明人： Volkan Vural

IPC分类号： A61B5/00 ,  G01P15/18 ,  G06N3/08 ,  A61B5/11

摘要： Characterization of physical activity of a person by analyzing sensor measurements acquired by IMUS placed on wearable fabrics such as for knees. The system provides detection and/or prediction of physical activities. Activity classification is achieved by pattern analysis methods running on appropriate computing platforms, including, but not limited to mobile phones, mobile devices, tablets, laptops, PCs, servers, fitness tracking devices, or microcontrollers located on a preferred embodiment, and/or like. Classified activities can be used for reporting daily exercises as well as to estimate calorie expenditure, and to serve for personalized fitness monitoring and coaching purposes.

公开(公告)号：US07912278B2

公开(公告)日：2011-03-22

申请号：US11742781

申请日：2007-05-01

申请人： Glenn Fung ,  Balaji Krishnapuram ,  Volkan Vural ,  R. Bharat Rao

发明人： Glenn Fung ,  Balaji Krishnapuram ,  Volkan Vural ,  R. Bharat Rao

IPC分类号： G06K9/46 ,  G06K9/62

CPC分类号： G06T7/0012 ,  G06K9/6269 ,  G06K9/6278

摘要： A method and system correlate candidate information and provide batch classification of a number of related candidates. The batch of candidates may be identified from a single data set. There may be internal correlations and/or differences among the candidates. The candidates may be classified taking into consideration the internal correlations and/or differences. The locations and descriptive features of a batch of candidates may be determined. In turn, the locations and/or descriptive features determined may used to enhance the accuracy of the classification of some or all of the candidates within the batch. In one embodiment, the single data set analyzed is associated with an internal image of patient and the distance between candidates is accounted for. Two different algorithms may each simultaneously classify all of the samples within a batch, one being based upon probabilistic analysis and the other upon a mathematical programming approach. Alternate algorithms may be used.

摘要翻译： 一种方法和系统将候选信息相关联并提供一些相关候选者的批次分类。 可以从单个数据集中识别该批候选。 候选人之间可能存在内部相关性和/或差异。 候选人可以考虑内部相关性和/或差异进行分类。 可以确定一批候选人的位置和描述性特征。 反过来，所确定的位置和/或描述性特征可以用于提高批次内的一些或所有候选者的分类的准确性。 在一个实施例中，所分析的单个数据集与患者的内部图像相关联，并且考虑候选者之间的距离。 两种不同的算法可以各自同时对批次中的所有样本进行分类，一种基于概率分析，另一种基于数学规划方法。 可以使用替代算法。

公开(公告)号：US20070280530A1

公开(公告)日：2007-12-06

申请号：US11742781

申请日：2007-05-01

申请人： Glenn Fung ,  Balaji Krishnapuram ,  Volkan Vural ,  R. Rao

发明人： Glenn Fung ,  Balaji Krishnapuram ,  Volkan Vural ,  R. Rao

IPC分类号： G06K9/62

CPC分类号： G06T7/0012 ,  G06K9/6269 ,  G06K9/6278

摘要： A method and system correlate candidate information and provide batch classification of a number of related candidates. The batch of candidates may be identified from a single data set. There may be internal correlations and/or differences among the candidates. The candidates may be classified taking into consideration the internal correlations and/or differences. The locations and descriptive features of a batch of candidates may be determined. In turn, the locations and/or descriptive features determined may used to enhance the accuracy of the classification of some or all of the candidates within the batch. In one embodiment, the single data set analyzed is associated with an internal image of patient and the distance between candidates is accounted for. Two different algorithms may each simultaneously classify all of the samples within a batch, one being based upon probabilistic analysis and the other upon a mathematical programming approach. Alternate algorithms may be used.

摘要翻译： 一种方法和系统将候选信息相关联并提供一些相关候选者的批次分类。 可以从单个数据集中识别该批候选。 候选人之间可能存在内部相关性和/或差异。 候选人可以考虑内部相关性和/或差异进行分类。 可以确定一批候选人的位置和描述性特征。 反过来，所确定的位置和/或描述性特征可以用于提高批次内的一些或所有候选者的分类的准确性。 在一个实施例中，所分析的单个数据集与患者的内部图像相关联，并且考虑候选者之间的距离。 两种不同的算法可以各自同时对批次中的所有样本进行分类，一种基于概率分析，另一种基于数学规划方法。 可以使用替代算法。