University of California

Alireza Vahdatpour

Majid Sarrafzadeh

Ani Nahapetian

Mahsan Rofouei

A location of a sensor is determined by: (1) receiving time series data including components in a plurality of dimensions, wherein the time series data correspond to measurements of the sensor that is applied to a subject; (2) determining a plurality of subsequences associated with the time series data, wherein each of the plurality of subsequences represents a characteristic pattern projected along one of the plurality of dimensions; (3) identifying a correlated subset of the plurality of subsequences as at least one instance of an activity of the subject; and (4) based on features of the correlated subset, determining the location of the sensor as applied to the subject.

Apparatus, system, and method for automatic identification of sensor placement

Activities and abnormalities in activities are detected by: (1) receiving data corresponding to measurements of an activity occurring during a time interval; (2) determining a plurality of primitives associated with the data, wherein each of the plurality of primitives represents a characteristic pattern in a portion of the time interval; (3) derive an activity structure relating a first subset of the plurality of primitives that are correlated in time; and (4) based on the activity structure, classify a second subset of the plurality of primitives as an abnormal instance of the bodily activity.

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Kirkland, WA, United States of America

Alireza Vahdatpour