Abstract: There is provided a system and method for controlling at least one traffic light having a vehicle having a transmitter and a receiver for transmitting and receiving traffic control signals, and a control unit for processing said traffic control signals; and a traffic control module having a transmitter and a receiver for transmitting and receiving said traffic control signals, a control unit for processing said traffic control signals, traffic light control logic for controlling said at least one traffic light, and means to connect to said at least one traffic light; wherein said traffic control signals control the flow of traffic about said at least one traffic light enabling said vehicle to travel from a present location to a destination passing through intersections at which traffic flow is controlled by said at least one traffic light.

Abstract: A volume controlling system and method for regulating the output volume of a headset in order to protect the hearing ability of a user. The system includes a volume sensor/controller for monitoring the volume output of the headset by adjusting the volume to be within a predetermined threshold. A warning indicator indicates to the user or a person monitoring the listening user that the volume is set too high. The method include the steps of comparing the received audio signal to the predetermined volume threshold and adjusting the volume accordingly. The method also includes the steps of notifying that the volume has been set at too high a level by providing a warning signal, such as an audible or visual alarm.

Abstract: A language recognition system, method and program product for recognizing language based input from computer users on a network of connected computers. Each computer includes at least one user based language model trained for a corresponding user for automatic speech recognition, handwriting recognition, machine translation, gesture recognition or other similar actions that require interpretation of user activities. Network computer users are clustered into classes of similar users according to user similarities such as, nationality, profession, sex, age, etc. User characteristics are collected by sensors and from databases and, then, distributed over the network during user activities. Language models with similarities among similar users on the network are identified. The language models include a language model domain, with similar language models being clustered according to their domains. Language models identified as similar are modified in response to user production activities.

Abstract: A speech recognition system, method and program product for recognizing speech input from computer users connected together over a network of computers. Speech recognition computer users on the network are clustered into classes of similar users according their similarities, including characteristics nationality, profession, sex, age, etc. Each computer in the speech recognition network includes at least one user based acoustic model trained for a particular user. The acoustic models include an acoustic model domain, with similar acoustic models being clustered according to an identified domain. User characteristics are collected from databases over the network and from users using the speech recognition system and then, distributed over the network during or after user activities. Existing acoustic models are modified in response to user production activities. As recognition progresses, similar language models among similar users are identified on the network.

Abstract: A system and method of interpreting communicative behaviors including actions, gestures and sounds produced by individuals, the system including a database of stored behavior codes, each behavior code having an associated explanation; means for accessing the database; means for recording a behavior performed by the individual; means for assigning an observed behavior code to the recorded behavior; means for comparing the observed behavior code to the stored behavior codes in the database of stored behavior codes; and means for retrieving the explanation associated with the stored behavior codes which match the observed behavior code. In the preferred embodiment the system further comprises means for recognizing events and correlating recognized events to the individual's behavior's.

Abstract: A system and method for supervising persons with a mental illness, the method comprising the steps of acquiring sensor data related to the person and the person's environment; tracking the acquired sensor data; and recognizing changes in the sensor data indicating the occurrence of an event. The method further comprises the steps of acquiring access to an event database of stored event data entries, each event data entry comprising identification of one of the sensor means, identification of the entity being sensed by the sensor means, and allowable values for the sensor data and recommendations for assistance providing actions to be taken when the received sensor data is out of range from the allowable sensor data; and recognizing the occurrence of an incident in which the received sensor data is outside of the range of the stored allowable sensor data values.

Abstract: A system is provided having a plurality of sensors for affixing to a person's torso, hands, feet, head, etc. The function of each sensor is to determine the distance between itself and the other sensors to ascertain the distance between the hands and feet, for instance, in order to measure the relative activity of a person's hands and feet. Other sensors, placed on the individual or in the individual's environment, may obtain biological data relating to the person, such as heart pulse, blood pressure, or data relating to the individual's attention level, i.e., gaze data. The system further includes a processor having a memory for storing data collected from the sensors. The data collected by the sensors and stored in the memory provide at least information about different types of movements associated with a particular set of tasks.

Abstract: The invention detects signs of emerging illness, such as flu, skin cancer, backache, etc., among the general population and individuals. The detection of symptoms of illness is performed through the utilization of embedded devices equipped with various sensors, such as cameras, glasses, wrist watches, TVs, fire warning systems, and having the ability to analyze the detected information and to transmit that information via wireless and regular communication channels to a central server for a more detailed analysis and possible action. The information about locally detected symptoms is gathered at central location and processed to ascertain whether there is a new epidemic of a flu, therefore enabling early shipment of a flu vaccine which prevents the spread of the disease.

Abstract: To archive information, a phrase or sentence describing the information, typically expressed in a natural language and conforming to the rules of a grammar (like a natural language grammar) is used to create a structured index which also conforms to the natural language grammar. The structured index has structure because the words in the index have a function and a relationship among each other as determined by the grammar. The index is combined with a location pointer of information to be cataloged, preferably multimedia information, to form a matched pair, i.e., a structured index and a segment (or a pointed to a multimedia object). The matched pair is stored in a database for later retrieval. Retrieval is based on parsing a query into a query structure that is identical or similar to the structured index.