Yale University

Andreas Savvides

Deokwoo Jung

Abhijit S Ogale

Dimitrios Lymberopoulos

Thiago Teixeira

Yiannis Aloimonos

Systems and methods are provided for estimating power breakdowns for a set of one or more appliances inside a building by exploiting a small number of power meters and data indicative of binary power states of individual appliances of such set. In one aspect, a breakdown estimation problem is solved within a tree configuration, and utilizing a single power meter and data indicative of binary power states of a plurality of appliances. Based at least in part on such solution, an estimation quality metric is derived. In another aspect, such metric can be exploited in a methodology for optimally placing additional power meters to increase the estimation certainty for individual appliances to a desired or intended level. Estimated power breakdown and energy breakdown&#x2014;individually or collectively referred to as consumption breakdown&#x2014;rely on measurements and numerical simulations, and can be evaluated in exemplary electrical network utilizing binary sensors.

Consumption breakdown monitoring through power state sensing

A multimodal sensor network is designed to extract a plurality of fundamental properties associated with subject sensing. In one aspect, such network can combine cameras distributed in an environment with inertial sensors available in subjects' wearable devices. The network can permit anonymous detection, counting, and localization of one or more subjects utilizing the cameras. In one aspect, by fusing such information with positional data from the inertial sensors contained or coupled to wearable devices associated with the one or more subjects, the network can track and can identify each subject carrying a wearable device functionally coupled to inertial sensor(s). In one aspect, the problem of subject sensing can be divided into two parts: (1) a detection, counting, and localization (DCL) layer and (2) a tracking and identification (TI) layer, wherein such layers can be implemented via simulations and a real sensor network deployment.

Subject sensing in an environment

Provided herein are methods, systems, and apparatuses that can utilize a grammar hierarchy to parse out observable activities into a set of distinguishable actions.

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Hamden, CT, United States of America

Andreas Savvides