Abstract: Electrical battery apparatus embodiments are presented that generally involve incorporating sensing, computing, and communication capabilities into the one common component that a vast number of electronic devices employ—namely batteries. By integrating these capabilities into disposable and/or rechargeable batteries, new functionality and intelligence can be provided to otherwise stand-alone devices.

Abstract: An aggregation framework system and method that automatic configures, aggregates, disaggregates, manages, and optimizes components of a consolidated system of devices, modules, and sensors. Embodiments of the system and method include a low-power alert sensor, a data aggregator module, and an interpreter module. The low-power alert sensor is a sensor that is continuously on and continuously monitoring its environment. The low-power alert sensor acts as a watchdog and triggers other sensors to awaken them from a power-conservation state when there is a change or event that occurs in an environment. The data aggregator module manages the set of sensors within the system and aggregates sensor data obtained from the sensors. The interpreter module then translates the physical data collected by sensors into logical information. Together the data aggregator module and the interpreter module present a unified logical view of the capabilities of the sensors under their control.

Abstract: A “Logical Sensor Server” or “LSS” acts as a smart hub between related or unrelated sensors, devices, or other systems by translating, morphing, or forwarding signals or events published by various input sources into signals or higher-order events that can be consumed or used by other subscribing sensors, devices, or systems. More specifically, the LSS acts alone or in combination with a Logical Sensor Platform (LSP) to enable various techniques that allow messages received from different input sources to be authored, transformed and made available to one or more subscribers in a manner that allows intelligent event-driven behavior to emerge from a collection of relatively simple input sources. Any combination of automatic configuration or user input is used to define the format of transformed inputs to be received by particular subscribers relative to one or more publications. Subscribers receiving transformed events control their own actions based on those events.

Abstract: An aggregation framework system and method that automatic configures, aggregates, disaggregates, manages, and optimizes components of a consolidated system of devices, modules, and sensors. Embodiments of the system and method include a low-power alert sensor, a data aggregator module, and an interpreter module. The low-power alert sensor is a sensor that is continuously on and continuously monitoring its environment. The low-power alert sensor acts as a watchdog and triggers other sensors to awaken them from a power-conservation state when there is a change or event that occurs in an environment. The data aggregator module manages the set of sensors within the system and aggregates sensor data obtained from the sensors. The interpreter module then translates the physical data collected by sensors into logical information. Together the data aggregator module and the interpreter module present a unified logical view of the capabilities of the sensors under their control.

Abstract: Electrical battery apparatus embodiments are presented that generally involve incorporating sensing, computing, and communication capabilities into the one common component that a vast number of electronic devices employ—namely batteries. By integrating these capabilities into disposable and/or rechargeable batteries, new functionality and intelligence can be provided to otherwise stand-alone devices.