Abstract: A classification method comprises positioning an object and a radar unit in proximity to each other; receiving by the radar unit radar signals reflected from the object; and classifying the object, wherein the classifying is based on the radar signals and/or at least one feature extracted from the radar signals, and the classifying of the object comprises determining classification data for the object.

Abstract: A method comprises positioning a display screen of a mobile device and a surface of interest such that the display screen of the mobile device faces the surface of interest; emitting light by the display screen, wherein at least part of the emitted light is reflected by the surface of interest; receiving, by a camera of the mobile device, at least part of the light emitted by the display screen and reflected from the surface of interest thereby to generate at least one image; and processing the at least one image to determine at least one property of the surface of interest.

Abstract: A classification method comprises positioning an object and a radar unit in proximity to each other; receiving by the radar unit radar signals reflected from the object; and classifying the object, wherein the classifying is based on the radar signals and/or at least one feature extracted from the radar signals, and the classifying of the object comprises determining classification data for the object.

Abstract: A computer processor based method for controlling a plurality of computer displays in response to user behavior, the method comprising identifying at least one display that is unattended by the user by determining the user's visual focus, and applying an overlay window to the unattended display to control visualization of the identified unattended display.

Abstract: A computer processor based method for controlling a plurality of computer displays in response to user behavior, the method comprising identifying at least one display that is unattended by the user by determining the user's visual focus, and applying an overlay window to the unattended display to control visualization of the identified unattended display.

Abstract: A computer processor based method for controlling a plurality of computer displays in response to user behavior, the method comprising identifying at least one display that is unattended by the user by determining the user's visual focus, and applying an overlay window to the unattended display to control visualization of the identified unattended display.

Abstract: A computer processor based method for controlling a plurality of computer displays in response to user behavior, the method comprising identifying at least one display that is unattended by the user by determining the user's visual focus, and applying an overlay window to the unattended display to control visualization of the identified unattended display.

Abstract: A recommendation apparatus for selecting, by comparing one or more media files from a plurality of received recommendations, one or more media files for inclusion into a digital media file. A recommendation apparatus in accordance with an embodiment includes: a main controller component for receiving a plurality of recommendations associated with one or more media files from a plurality of recommenders; a weighting component for determining a weighting factor associated with each of the received recommendations; a weighting component for identifying from each of the determined weighting factors each of the recommendations falling within a predetermined threshold and for selecting each of these recommendations for inclusion into an audio playlist.

Abstract: A proximate location detection system and method is provided. A user carries a mobile location indicating device which initially determines the general geographic area in which the device is located. The device is able to download map data in relation to the general geographic area, the map data comprises details of beacons and their locations within the general geographic area. The device is then able to passively detect and identify beacons within its physical proximity. The identity of the detected beacons is then compared with the downloaded data to determine their location which is then displayed to the user as their proximate location within the general geographic area. Hence, the user can approximately track their own movements within a large area without third parties being able to determine the user's location within the large area.