A sensor detects whether or not an input device and a display device are in a combined state. A control mode determining unit determines a control mode associated with the state detected by the sensor. A control processing unit switches a control mode of a control target apparatus to the control mode determined by the control mode determining unit, and causes the display device to display a function to be operated in a display mode corresponding to the switched control mode.

An electronic device configured to control an environment includes a communication unit and a processor. The communication unit is configured to communicate with a server, at least one user device, and at least one connected device. The processor is operatively coupled to the communication unit and configured to receive identification information from the at least one user device, receive a user profile corresponding to the identification information of the at least one user device from the server, the user profile including at least one user preference, and control the at least one connected device to control the environment based on the user profile.

Systems and methods for localizing portable devices are illustrated. One embodiment includes a method for locating a portable device in a network that includes several reference devices. The method measures characteristics of signals transmitted via signal paths between reference devices and a portable device, normalizes the measurements to estimate characteristics of the signal paths, and estimates the likelihood that the portable device is in a particular location. Systems and methods for training prediction models include a method that includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device based on the context data using a prediction model, identifying a target stationary device from the several stationary devices, training the prediction model based on based on the predicted stationary device and the received input.

Context-sensitive remote controls for use with electronic devices (e.g., eyewear device). The electronic device is configured to perform activities (e.g., email, painting, navigation, gaming). The context-sensitive remote control includes a display having a display area, a display driver coupled to the display, and a transceiver. The remote control additionally includes memory that stores controller layout configurations for display in the display area of the display by the display driver. A processor in the context-sensitive remote control is configured to establish, via the transceiver, communication with an electronic device, detect an activity currently being performed by the electronic device, select one of the controller layout configurations responsive to the detected activity, and present, via the display driver, the selected controller layout configuration in the display area of the display.

A remote control device my comprise a control unit and a mounting structure (e.g., a smart mounting structure) to which the control unit is configured to be mounted. The control unit may be configured to operate in a plurality of operating modes. The control unit may transmit a first message for controlling a first electrical load when the control unit is operating in a first operating mode and a second message for controlling a second electrical load when the control unit is operating in a second operating mode. When the control unit is mounted to the mounting unit, the mounting unit may transmit a third message to the first control circuit of the control unit in response to receiving a user input received via an input circuit of the control unit. The control unit may change between the plurality of operating modes in response to receiving the third message.

Systems and methods for training prediction models are illustrated. One embodiment includes a method for training a prediction model in a network. The method includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device from several stationary devices that is predicted based on the context data using a prediction model, receiving input identifying a target stationary device from the several stationary devices, generating training data based on the predicted stationary device and the received input, updating the prediction model based on the generated training data.

One variation of a method for controlling dissemination of instructional content to operators performing procedures at equipment within a facility includes: at a computing device, accessing a digital procedure containing a first instructional block comprising a first instruction in a set of formats including a text format corresponding to a first degree of guidance, an audio format corresponding to a second degree of guidance different from the first degree, and a visual format corresponding to a third degree of guidance greater than the first and second degrees; accessing a minimum instruction guidance specification for a current instance of the digital procedure; and, in response to initiation of the first instructional block in the digital procedure, presenting the first instruction in a particular format, in the set of formats, corresponding to a particular degree of guidance approximating the minimum instruction guidance specification.

A lighting-system (100) for illuminating an environment, the lighting system comprising a plurality of lighting modules (111, 112, 113) and a lighting-system control device (130). The lighting modules comprise: a light source (121) for emitting light, a programmable controller (122) configured to control an operation of the light source, and a network interface (123) configured to allow the lighting module to communicate via a network. The lighting-system control device (130) comprises: a processor circuit (133) configured to determine lighting control data to change the light spectrum of the light source based on the mobility data of the at least one user, and to transmit the lighting control data to at least one lighting module of the plurality of lighting modules to program said lighting module according to the lighting control data.

An interactive system includes one or more processors that are configured to receive a first signal indicative of an activity of a user within an environment and to receive a second signal indicative of the user approaching an animated character head. The one or more processors are also configured to provide information related to the activity of the user to a base station control system associated with the animated character head in response to receipt of the second signal to facilitate a personalized interaction between the animated character head and the user.

An augmented reality device includes a processing unit adapted to process data, and a display unit with a field of view, which is adapted to display a control, control components and first connections between the control components as an extended real image, The control receives sensor data from at least one sensor and transmits actuator signals to at least one actuator of an industrial plant. The processing unit processes from the data a model of the industrial plant with the control, the sensor, the actuator and second connections as plant components, and processes position data of the plant components into the model. The position data of the display unit can be transmitted to the processing unit as GPS data by means of satellites or local position data by means of local sensors, and the processing unit processes the position data of the display unit into the model.