Abstract: Apparatus and associated methods relate to fitting a virtual mask to a virtual face by first fitting a chin region of the virtual mask to the virtual face, then determining an virtual mask angle that maintains the fitted chin region while simultaneously fitting a nose-bridge region of the virtual mask to the virtual face, and then calculating a fit-quality metric corresponding to the fitted position. In an illustrative embodiment, the fitted chin region may include the high curvature menton region of the chin. In some examples, a virtual mask may be virtually pressed toward the virtual face using a predetermined force corresponding to a force of a mask securing device of a real mask corresponding to the virtual mask In an exemplary embodiment, the fitting of a virtual mask to a virtual face may advantageously yield a mask's fit quality in a brief amount of time.

Abstract: Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a specific respirator model to a specific facial model in a dynamic position. In an illustrative example, one or more dynamic positions may be generated by actual user movement and/or simulated user movement. For example, a facial model may be generated by altering a static model in view of actual and/or simulated movements. In various implementations, a facial model may be compared against a variety of respirator models from a respirator model database. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

Abstract: Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a respirator model in a deformed state to a specific facial model. In an illustrative example, an internal measurement may be calculated between an inside part of the respirator model and the facial model. The internal measurement may be compared against a predetermined threshold to determine a fit of the respirator model, for example. In various implementations, the internal measurement may be a distance and/or a volume between the respirator and facial model. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

Abstract: An energy management device providing a series of user interface enhancements that enable the creation and modification of energy management schedules. The energy management device may provide these user interface enhancements in connection with a touch screen interface, as the user interface receives and processes a variety of touch screen gestures from users intended to create and manipulate the energy management schedules. The user interface enhancements may include calendar views with customizable periods of interest, calendar views with overlays of scheduling and pricing information, and clocks providing runtime indications of specific energy consuming systems.

Abstract: A wiring configuration tool may be configured to determine a new wiring configuration for a replacement HVAC controller based, at least in part, on the existing wiring configuration for a current HVAC controller and, for example, the make and model of the replacement HVAC controller. The wiring configuration tool may be hosted by a server that provides a user interface for interacting with the user. The user may access the wiring configuration tool via a web services interface, a smart phone application or in any other suitable manner.

Abstract: Devices, systems, and methods for providing energy management recommendations are provided. One method includes recording a number of interactions between a user and a computing device, creating an energy usage profile according to the number of interactions between the user and the computing device, computing energy usage analytics associated with the energy usage profile, presenting the energy usage analytics to the user, and providing a number of energy management recommendations that account for the usage analytics and the energy usage profile.

Abstract: A physical activity monitoring method and system in one embodiment includes a communications network, a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate context data associated with a sensed context of the wearer, and to transmit the physiologic data and the context data over the communications network, a memory for storing the physiologic data and the context data, a computer and a computer program executed by the computer, wherein the computer program comprises computer instructions for rendering first data associated with the physiologic data and second data associated with the context data, and a user interface operably connected to the computer for rendering the first data and the second data.

Abstract: An HVAC controller may be controlled in response to a natural language audio message that is not recognizable by the HVAC controller as a command, where the natural language audio message is translated into a command recognizable by the HVAC controller. The HVAC controller may be a thermostat including a housing that houses a temperature sensor, a microphone, and a controller. The controller may identify a trigger phrase in an audio stream provided by the microphone. In response to identifying the trigger phrase, the controller initiates processing of the audio stream to identify a command following the trigger phrase and to generate a command understandable by the thermostat that instructs the controller to perform the identified command. The controller then executes the generated command understandable by the thermostat. A user may communicate with the thermostat via the microphone of the thermostat and/or a remote device having a microphone.

Abstract: An HVAC controller may be controlled in response to a natural language audio message that is not recognizable by the HVAC controller as a command, where the natural language audio message is translated into a command recognizable by the HVAC controller. The HVAC controller may be a thermostat and may include a housing that at least partially houses a control module, a microphone, a speaker, a display, and a voice recognition module. The voice recognition module recognizes a predetermined audible trigger from a recorded voice message or streamed voice message, and in response, provide one or more audio clips via the speaker and/or video clips via the display to assist users in operating the thermostat. A user may communicate with the thermostat via the thermostat and/or a remote device.

Abstract: A system includes a video sensing device, a computer processor coupled to the video sensing device, and a display unit coupled to the computer processor. The system displays on the display unit a field of view of the video sensing device, and displays a three dimensional widget within the field of view. The widget includes one or more features for altering one or more of a location or size of the widget, thereby altering an area in the field of view covered by the widget. The system then alters one or more of a pan, a tilt, and a zoom of the video sensing device as a function of the alteration of the location or size of the widget, thereby altering the field of view of the video sensing device.

Abstract: A system for automatically determining the placement of cameras receives data relating to a plurality of polygons. T polygons represent one or more of a surveillance area, a non-surveillance area, a blank area, and an obstacle. The system selects one or more initial cameras, including one or more initial camera positions, initial camera orientations, and initial camera features, wherein the initial camera positions and the initial camera orientations cause one or more fields of view of the initial cameras to cover at least a part of the surveillance area. The system alters one or more of a number of cameras, an orientation of the cameras, a location of the cameras, a type of the cameras, and a crossover of two or more cameras. The system uses a fitness function to evaluate all of the cameras and all of the camera positions, and selects one or more cameras and the locations and orientations of the one or more cameras as a function of the fitness function.

Abstract: A method of operator competency management includes providing a computing system having a processor running a software application. The software application implements an Operator Competency Model (OCM) which includes a simulated competency exercise including a plurality of simulated tasks for an operator in a processing facility running a physical process, wherein a competency for each simulated task is mapped to an assessment tool, wherein the assessment tools collectively include at least one subjective assessment tool and at least one automatically generated assessment tool. Responsive to the operator performing the simulated competency exercise, the performance of the operator is evaluated using respective ones of the assessment tools for the simulated tasks to generate competency data for the operator.

Abstract: Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a respirator model in a deformed state to a specific facial model. In an illustrative example, an internal measurement may be calculated between an inside part of the respirator model and the facial model. The internal measurement may be compared against a predetermined threshold to determine a fit of the respirator model, for example. In various implementations, the internal measurement may be a distance and/or a volume between the respirator and facial model. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

Abstract: Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a specific respirator model to a specific facial model in a dynamic position. In an illustrative example, one or more dynamic positions may be generated by actual user movement and/or simulated user movement. For example, a facial model may be generated by altering a static model in view of actual and/or simulated movements. In various implementations, a facial model may be compared against a variety of respirator models from a respirator model database. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

Abstract: A security system is configured to display a representation of an area on a display unit, receive input from a plurality of different types of sensors that are positioned within the area, display a plurality of icons on the display unit, wherein the plurality of icons represents the locations of the plurality sensors in the area, and display in a panel on the display unit output from the plurality of sensors.

Abstract: A system and method includes obtaining an address of a structure, obtaining picture of objects in the structure with a networked mobile device, deriving identification information from the pictures, using the identification information to obtain energy usage information from databases, and generating an energy audit based on the objects and energy usage information.

Abstract: Devices, methods, and systems for assessing risk associated with a domain are described herein. One method includes determining an inherent risk associated with a number of boundaries associated with a domain, determining a threat potential associated with a number of disturbances associated with the domain, determining an actual threat associated with a number of control mechanisms associated with the domain, and determining an overall risk associated with the domain based on the inherent risk, the threat potential, and the actual threat.

Abstract: A method includes populating a touchscreen interface with visual representations of rooms of a residential home, providing a list of assets in a manner facilitating use of the touchscreen select an asset for a visual representation of a room, facilitating entry of make and model information of the selected asset, and obtaining and storing energy audit information regarding the selected asset via a network connection.

Abstract: A home automation system includes data relating to three dimensional body movements. The system receives a signal generated by a sensing of a three dimensional body movement of a person, compares the signal relating to the three dimensional body movement of the person to the stored data relating to the three dimensional body movements, identify the body movement of the person based on the comparison; and control a home automation system as a function of the identified body movement.

Abstract: A system identifies cognitive skills applicable to a particular job domain. The system stores cognitive skills from a plurality of job domains in a computer storage device. The cognitive skills are mapped to the plurality of job domains. The system creates a model of the stored cognitive skills. The model includes the plurality of job domains, and each job domain is associated with one or more scenarios, and each scenario is associated with a subset of the stored cognitive skills. This results in a matrix of job domains, scenarios, and cognitive skills. The system also generates a training sequence using the matrix. The training sequence includes multiple scenarios and relevant cognitive skills associated with each of the multiple scenarios across multiple job domains, thereby creating a system to generate an adaptable level of cognitive expertise.