MULTIPLE METER DETECTION AND PROCESSING USING MOTION DATA
First Claim
1. A system for detecting multiple portable computing devices being physically carried by one person, the system comprising:
- an input to receive media exposure data from a first one of a plurality of portable computing devices;
the input to receive segmented accelerometer data from the plurality of portable computing devices;
a processor, operatively coupled to the input, to extract features from the segmented accelerometer data, the processor forming accelerometer classification data for respective ones of the plurality of portable computing devices based on the extracted features;
the processor to compare the accelerometer classification data for the first portable computing device to at least one of (i) the accelerometer classification data for respective ones of the plurality of portable computing devices and (ii) stored accelerometer classification data for respective ones of the plurality of portable computing devices, to determine if accelerometer classification data for the first portable computing device is sufficiently similar to a second one of the plurality of portable computing devices; and
the processor to identify the first portable computing device and the second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the accelerometer classification data for the second portable computing device.
8 Assignments
0 Petitions
Accused Products
Abstract
Systems and methods are disclosed for identifying portable devices carried by the same person. An example method includes receiving media exposure data from one of a plurality of portable computing devices. Receiving segmented accelerometer data from the plurality of portable computing devices. Forming accelerometer classification data for the plurality of portable computing devices based on features extracted from the segmented accelerometer data. Comparing the accelerometer classification data for the first portable computing device to accelerometer classification data for the plurality of portable computing devices, to determine if the accelerometer classification data for the first portable computing device is sufficiently similar to a second portable computing devices. The example method further includes identifying the first and second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the second computing devices.
5 Citations
20 Claims
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1. A system for detecting multiple portable computing devices being physically carried by one person, the system comprising:
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an input to receive media exposure data from a first one of a plurality of portable computing devices; the input to receive segmented accelerometer data from the plurality of portable computing devices; a processor, operatively coupled to the input, to extract features from the segmented accelerometer data, the processor forming accelerometer classification data for respective ones of the plurality of portable computing devices based on the extracted features; the processor to compare the accelerometer classification data for the first portable computing device to at least one of (i) the accelerometer classification data for respective ones of the plurality of portable computing devices and (ii) stored accelerometer classification data for respective ones of the plurality of portable computing devices, to determine if accelerometer classification data for the first portable computing device is sufficiently similar to a second one of the plurality of portable computing devices; and the processor to identify the first portable computing device and the second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the accelerometer classification data for the second portable computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for detecting multiple portable computing devices being physically carried by one person, the method comprising:
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receiving, by executing an instruction with a processor, media exposure data from a first one of a plurality of portable computing devices; receiving, by executing an instruction with the processor, segmented accelerometer data from the plurality of portable computing devices; extracting, by executing an instruction with the processor, features from the segmented accelerometer data and forming accelerometer classification data for respective ones of the plurality of portable computing devices based on the extracted features; comparing, by executing an instruction with the processor, the accelerometer classification data for the first portable computing device to at least one of (i) the accelerometer classification data for respective ones of the plurality of portable computing devices and (ii) stored accelerometer classification data for respective ones of the plurality of portable computing devices, to determine if accelerometer classification data for the first portable computing device is sufficiently similar to a second one of the plurality of portable computing devices; and identifying, by executing an instruction with the processor, the first portable computing device and the second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the accelerometer classification data for the second portable computing device. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer readable storage device comprising computer readable instructions which, when executed, cause a processor to at least:
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receive media exposure data from a first one of a plurality of portable computing devices; receive segmented accelerometer data from the plurality of portable computing devices; extract features from the segmented accelerometer data and form accelerometer classification data for respective ones of the plurality of portable computing devices based on the extracted features; compare the accelerometer classification data for the first portable computing device to at least one of (i) the accelerometer classification data for respective ones of the plurality of portable computing devices and (ii) stored accelerometer classification data for respective ones of the plurality of portable computing devices, to determine if accelerometer classification data for the first portable computing device is sufficiently similar to a second one of the plurality of portable computing devices; and identify the first portable computing device and the second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the accelerometer classification data for the second portable computing device. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification