A hand-held electronic device having a remote control application user interface that functions to displays operational mode information to a user. The graphical user interface may be used, for example, to setup the remote control application to control appliances for one or more users in one or more rooms, to perform activities, and to access favorites. The remote control application is also adapted to be upgradeable. Furthermore, the remote control application provides for the sharing of operational mode information.

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.

A remote control device controls a physical controlled device in a physical user space using a virtual control in a mixed reality environment, including positioning, by a remote control device, the virtual control associated with the physical controlled device within a visual user space displayed by the remote control device and viewable within a field of view of a user. The remote control device detects a first user activation of the virtual control within the visual user space and generates a remote control instruction representing the first user activation of the virtual control by the user, the remote control instruction being supported by the physical controlled device to perform the first user activation on the physical controlled device. The remote control device transmits the remote control instruction from the remote control device to the physical controlled device, responsive to detecting the first user activation.

Disclosed are systems and methods for adjusting environmental conditions based on automatically and manually generated requests. A commissioned unit comprising at least one IP luminaire (140, 150), transmits a signal comprising one or more identification codes. The signal may be, for example, a coded light signal. An environment control device (160) receives the signal, detects user input indicating one or more preferred environmental conditions, and transmits an environment control request comprising the one or more preferred environmental conditions. An environment manager module (110) receives the environment control request, generates an environment control command using the control request, and transmits the environment control command to one or more commissioned units to alter environmental conditions in a space in accordance with the user input.

Disclosed is a method for controlling a command input device. The method includes: sensing contact between a home appliance and the command input device; based on sensing the contact between the home appliance and the command input device, determining the home appliance as a target home appliance to be controlled by the command input device; and based on the determination of the home appliance as the target home appliance to be controlled by the command input device, activating a remote controller provided by the command input device and configured to control the target home appliance.

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.

A system for a vehicle having an accessory positioned along the vehicle. The system may also include a sensor located along the vehicle in wireless communication with the accessory, wherein the sensor triggers activation of the accessory based on input from an external source.

A computer-implemented method according to one embodiment includes identifying locations of a plurality of components to be implemented within a site, identifying characteristics of the site, and determining details for each of the plurality of components to be implemented within the site, utilizing the location of the plurality of components and the characteristics of the site.

Apparatus for controlling an independent electrical device, wherein said apparatus is configured to receive two or more acoustic signals, to process said acoustic signals, and to provide a control signal based on the processed acoustic signals, wherein said control signal is configured to control directly or indirectly said independent electrical device.

The present invention relates to a system and method using a remote-control device for locating a vehicle parked in a large parking area or structure. The system includes a RF transceiver, an LED light, and a vibration module installed in the vehicle during manufacturing or retrofitted to an existing vehicle. The remote-control device is configured to connect with the vehicle and illuminate the LED light remotely in order to locate the vehicle. The remote device can also vibrate in response to the proximity of the remote device relative to the vehicle using the vibration module. The remote-control device provides the capability to display GPS location of vehicle and the remote device while also enabling an audible recording of a description of the location of the vehicle.