Abstract: A system includes an interface configured to receive time series data representing information from a plurality of sensors, and a processor configured to construct a behavior model based on the time series data. The processor identifies features in the time series data, divides the time series data of each of the identified features into segments, and extracts feature components from the segments. The processor further constructs a plurality of state graphs, each state graph including components connected by weighted edges, constructs a behavior graph, wherein the state graphs form vertices of the behavior graph, clusters the state graphs in the behavior graph; and selects a representative state graph from each cluster, wherein the behavior model includes the selected state graphs.

Abstract: A sensor system and method configured to take multiple channels of sensors, and based on context and user behavior reflected in the signals, identifies specified channels for sensing according to a sensing policy. The sensing policy is used to reduce the amount of data sampled, such that it is possible to reconstruct the values of the non sampled sensors efficiently. The sensing policy is influenced by user and system's behavior and can be assigned either offline or in real time.

Abstract: A system includes an interface configured to receive time series data representing information from a plurality of sensors, and a processor configured to construct a behavior model based on the time series data. The processor identifies features in the time series data, divides the time series data of each of the identified features into segments, and extracts feature components from the segments. The processor further constructs a plurality of state graphs, each state graph including components connected by weighted edges, constructs a behavior graph, wherein the state graphs form vertices of the behavior graph, clusters the state graphs in the behavior graph; and selects a representative state graph from each cluster, wherein the behavior model includes the selected state graphs.

Abstract: The present invention relates to methods and apparatus for quantitative assessment of neuromotor disorders using sensors and analyzing the data collected from the sensors to determine if a patient suffers any neuromotor disorders. In one embodiment, the present invention is a system for assessing neuromotor disorders in a body including a plurality of pressure sensors adapted for attachment to the body and measuring pressure, a med node connected to the plurality of pressure sensors for generating data corresponding to the plurality of pressure sensors, and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a neuromotor disorder in the body.

Abstract: In some aspects, the invention provides compositions and methods for inhibiting viral infection. In some aspects, the invention provides compositions and methods useful for identifying antiviral compounds.

Abstract: A sensor system and method configured to take multiple channels of sensors, and based on context and user behavior reflected in the signals, identifies specified channels for sensing according to a sensing policy. The sensing policy is used to reduce the amount of data sampled, such that it is possible to reconstruct the values of the non sampled sensors efficiently. The sensing policy is influenced by user and system's behavior and can be assigned either offline or in real time.

Abstract: This invention relates to a system that continuously monitors pressure and force on the foot, analyzes and visualizes the pressure and force exerted on said foot in real-time. The invention measures pressure and force applied to a plurality of sensors placed in various points of an orthotic, shoe, shoe lining, insert, sock or sock type device. If the sensors detect pressure or force, the sensors send a signal to a microcomputer processor located in the shoe that subsequently analyzes and sends the data wireless to either a handheld electronic device, a personal computer, an electronic data capture system or a software program. The handheld electronic device or the personal computer then displays the data to an operator of the device or computer instantaneously; while the data capture system or program forwards the information to a handheld device and/or personal computer.

Abstract: The present invention relates to methods and apparatus for quantitative assessment of neuromotor disorders using sensors and analyzing the data collected from the sensors to determine if a patient suffers any neuromotor disorders. In one embodiment, the present invention is a system for assessing neuromotor disorders in a body including a plurality of pressure sensors adapted for attachment to the body and measuring pressure, a med node connected to the plurality of pressure sensors for generating data corresponding to the plurality of pressure sensors, and an analysis unit connected to the med node for analyzing the data generated by the med node to determine the existence of a nueromotor disorder in the body.

Abstract: This invention relates to a system that continuously monitors pressure and force on the foot, analyzes and visualizes the pressure and force exerted on said foot in real-time. The invention measures pressure and force applied to a plurality of sensors placed in various points of an orthotic, shoe, shoe lining, insert, sock or sock type device. If the sensors detect pressure or force, the sensors send a signal to a microcomputer processor located in the shoe that subsequently analyzes and sends the data wireless to either a handheld electronic device, a personal computer, an electronic data capture system or a software program. The handheld electronic device or the personal computer then displays the data to an operator of the device or computer instantaneously; while the data capture system or program forwards the information to a handheld device and/or personal computer.