Determining performance indicators for periodic movements
First Claim
1. A method for determining a value of a performance indicator for a periodic movement performed by a human or an animal, the method comprising:
- receiving (210) time series data from an inertial sensor sensing the periodic movement of the human or animal;
partitioning (220) the received time series data into periods of the movement;
transforming (230) the time series data of each period into a data representation of a defined size,classifying (240) each period into a movement class based on the data representation and a statistical model comprising a Markov chain of multivariate Gaussian distributions for each movement class; and
determining (250) a value of a performance indicator for at least one period of the movement, based on the data representation and on the movement class of the at least one period.
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Accused Products
Abstract
A method for determining a value of a performance indicator for a periodic movement performed by a human or an animal. The method includes receiving (210) time series data from an inertial sensor used for sensing the periodic movement, partitioning (220) the received time series data into periods of the movement, and transforming (230) the time series data of each period into a data representation of a defined size. The method further includes classifying (240) each period into a movement class, and determining (250) a value of a performance indicator for at least one period of the movement, based on the data representation and on the movement class of the at least one period.
6 Citations
20 Claims
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1. A method for determining a value of a performance indicator for a periodic movement performed by a human or an animal, the method comprising:
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receiving (210) time series data from an inertial sensor sensing the periodic movement of the human or animal; partitioning (220) the received time series data into periods of the movement; transforming (230) the time series data of each period into a data representation of a defined size, classifying (240) each period into a movement class based on the data representation and a statistical model comprising a Markov chain of multivariate Gaussian distributions for each movement class; and determining (250) a value of a performance indicator for at least one period of the movement, based on the data representation and on the movement class of the at least one period. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system (30) for determining a value of a performance indicator for a periodic movement performed by a human or an animal, the system comprising:
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an inertial sensor (305a) that senses the periodic movement of the human or animal; a communication unit (304); and a processing circuit (302) connected to the communication unit (304), wherein the communication unit is configured to receive time series data transmitted from the inertial sensor, and wherein the processing circuit is configured to; partition the received time series data into periods of the movement, transform the time series data of each period into a data representation of a defined size, classify each period into a movement class based on the data representation and a statistical model comprising a Markov chain of multivariate Gaussian distributions for each movement class, and generate a performance indicator for at least one period of the movement, based on the data representation and on the movement class of the at least one period. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification