Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: Apparatuses and methods detect a health condition of a user that may be assessed from a thermal sensor signal and/or radar sensor signal. One or more resultant biometric vectors may be generated from biometric vectors based on the thermal and radar signals, where the resultant biometric vectors contain resultant information about one or more biometric features for a user. Hazard information about the user is obtained from the one or more resultant biometric vectors, where the hazard information is indicative of a health event for the user. Consequently, an appropriate action on behalf of the user may be performed to ameliorate the health condition. The one or more resultant biometric vectors may include additional biometric features and/or a time sequence of the resultant biometric vectors to enhance hazard prediction. Moreover, the apparatuses and methods may support the user in different settings including a home, business, or vehicle.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: Building blocks for a smart device such as a thermostat include a user interface (UI) unit and a terminal (TML) unit. A UI unit may support one or more input data from a user and/or sensors and/or one or more control terminals. The UI unit may process each input datum or a combination of the input data, generate a control signal to one or more control terminals based on the processing, and send the control signal to one or more control terminals over a communication channel. A terminal unit, which may consist of one or more control terminals, transforms the received control signal into one or more controls to one or more associated environmental generators. One or more UI units may control one or more controlled apparatuses in conjunction with a mobile app to allow a unified user experience.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: Building blocks for a smart device such as a thermostat include a user interface (UI) unit and a terminal (TML) unit. A UI unit may support one or more input data from a user and/or sensors and/or one or more control terminals. The UI unit may process each input datum or a combination of the input data, generate a control signal to one or more control terminals based on the processing, and send the control signal to one or more control terminals over a communication channel. A terminal unit, which may consist of one or more control terminals, transforms the received control signal into one or more controls to one or more associated environmental generators. One or more UI units may control one or more controlled apparatuses in conjunction with a mobile app to allow a unified user experience.

Abstract: Apparatuses and methods detect a health condition of a user that may be assessed from a thermal sensor signal and/or radar sensor signal. One or more resultant biometric vectors may be generated from biometric vectors based on the thermal and radar signals, where the resultant biometric vectors contain resultant information about one or more biometric features for a user. Hazard information about the user is obtained from the one or more resultant biometric vectors, where the hazard information is indicative of a health event for the user. Consequently, an appropriate action on behalf of the user may be performed to ameliorate the health condition. The one or more resultant biometric vectors may include additional biometric features and/or a time sequence of the resultant biometric vectors to enhance hazard prediction. Moreover, the apparatuses and methods may support the user in different settings including a home, business, or vehicle.

Abstract: A health condition of a person may be assessed from a thermal sensor signal. By increasing performance indices of a thermal camera (for example, resolution, frame rate, sensitivity), operation may be extended to identification verification, biometric data extraction and health condition analysis, and so forth. Prediction may be carried out by monitoring a time sequence of thermal images, and consequently early warning of the health condition may be provided. The apparatus may be used for, but not limited to, personalization of smart home devices through supervised and reinforcement learnings. The application of the apparatus may be, but not limited to, smart homes, smart buildings and smart vehicles, and so forth.

Abstract: Building blocks for a smart device such as a thermostat include a user interface (UI) unit and a terminal (TML) unit. A UI unit may support one or more input data from a user and/or sensors and/or one or more control terminals. The UI unit may process each input datum or a combination of the input data, generate a control signal to one or more control terminals based on the processing, and send the control signal to one or more control terminals over a communication channel. A terminal unit, which may consist of one or more control terminals, transforms the received control signal into one or more controls to one or more associated environmental generators. One or more UI units may control one or more controlled apparatuses in conjunction with a mobile app to allow a unified user experience.