Aware, Inc.

Aware Technologies, Inc.

Richard W DeVaul

Christopher L Elledge

Daniel Barkalow

A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Method and system for real-time signal classification

The invention comprises systems and methods of creating and maintaining a communications network. It includes a wearable system, a deployable system, an array of physiological sensors, an array of environmental sensors, and the integration of these into a multi-nodal voice and data communication system. The primary communications network is composed of body-worn communications nodes comprising sensors, wearable audio/video communications gear, and wireless digital transceivers. The deployable system supports and extends the body-worn network by providing wider communications coverage, situational environmental monitoring, and navigational aid. The deployable system is composed of small, self-contained, robust network nodes. Each such node combines environmental sensors, a digital wireless 'repeater,' and a navigational beacon capability integrated in a hardened, robust package. Nodes are carried by team members and deployed when needed to extend the range of the communications or sensor network.

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Somerville, MA, United States of America

Richard W DeVaul