A method and handheld device for remotely interacting with a second device. The method and apparatus identify the second device from a plurality of devices based on the gestures of the user. As the user gestures, movement sensors sensing the motion of these gestures can generate signals that can be processed by rule-based and/or learning based methods. The result of processing these signals can be used to identify the second device. In order to improve performance, the user can be prompted to confirm the identified second device is the device the user wants to remotely control. The results of processing these signals can also be used so that the user can remotely interact with the second device.

A device and method of obtaining a depth of a space are provided. The method includes obtaining a plurality of images by photographing a periphery of a camera a plurality of times while sequentially rotating the camera by a preset angle, identifying a first feature region in a first image and an n-th feature region in an n-th image, the n-th feature region being identical with the first feature region, by comparing adjacent images between the first image and the n-th image from among the plurality of images, obtaining a base line value with respect to the first image and the n-th image, obtaining a disparity value between the first feature region and the n-th feature region, and determining a depth of the first feature region or the n-th feature region based on at least the base line value and the disparity value.

An electronic device is provided. The electronic device includes a display, a communicator wirelessly connected to a stylus pen, a processor, and a memory storing instructions that cause the processor to acquire motion information of the stylus pen, in response to the motion information matching with a plurality of motion commands, output a plurality of command images corresponding to the plurality of motion commands, respectively, based on a user feedback command to select one of the plurality of command images, determine the motion information as a motion command corresponding to the selected command image, output a tutorial image, acquire motion information of the stylus pen corresponding to the tutorial image, and determine the motion information of the stylus pen as a motion command corresponding to the tutorial image.

A tracking method, for tracking an object based on a computer vision, includes following steps. A series of images is captured by a tracking camera. A first position of a trackable device is tracked within the images. An object is recognized around the first position in the images. In response to the object being recognized, a second position of the object is tracked in the images.

An electronic device includes a transceiver and a processor. The processor is operably connected to the transceiver. The processor is configured to transmit, via the transceiver, radar signals for activity recognition. The processor is also configured to identify a first set of features and a second set of features from received reflections of the radar signals, the first set of features indicating whether an activity is detected based on power of the received reflections. Based on the first set of features indicating that the activity is detected, the processor is configured to compare one or more of the second set of features to respective thresholds to determine whether a condition is satisfied. After a determination that the condition is satisfied, the processor is configured to perform an action based on a cropped portion of the second set of features.

The method includes: displaying first graphical elements associated with first plurality of output modalities within an XR environment; while displaying the first graphical elements, detecting movement of a physical object; and in response to detecting the movement of the physical object: in accordance with a determination that the movement of the physical object causes the physical object to breach a distance threshold relative to a first graphical element among the first graphical elements, selecting a first output modality associated with the first graphical element as a current output modality for the physical object; and in accordance with a determination that the movement of the physical object causes the physical to breach the distance threshold relative to a second graphical element among the first graphical elements, selecting a second output modality associated with the second graphical element as the current output modality for the physical object.

The present disclosure relates to an apparatus for controlling a multi-image display provided in a vehicle, and a method thereof. According to the present disclosure, a multi-image display device may simultaneously output two or more images separated depending on an output angle or an optical frequency, and a first reflection member provided in an indoor ceiling of the vehicle may reflect one image among the two or more images output from the multi-image display device.

In some implementations, a device may obtain data relating to movement of the device. The device may determine one or more adjustments to one or more elements of a user interface to be provided for presentation by the device. The one or more adjustments may be determined based on the data relating to the movement of the device. The device may cause presentation of the user interface with the one or more elements adjusted in accordance with the one or more adjustments.

Embodiments of the present technology are directed at features and functionalities of a VR/AR enabled digital audio workstation. The disclosed audio workstation can be configured to allow users to record, produce, mix, and edit audio in virtual 3D space based on detecting and manipulating human gestures in a virtual reality environment. The audio can relate to music, voice, background noise, speeches, background noise, one or more musical instruments, special effects music, electronic humming or noise from electrical/mechanical equipment, or any other type of audio.

Embodiments provide systems and techniques for automated haptics generation and distribution. An example technique includes receiving media content from a computing device. The media content includes at least one of audio content or video content. One or more features of the media content is determined. A set of haptic data is generated for the media content, based on evaluating the one or more features of the media content with at least one machine learning model. Another example technique includes obtaining a set of haptic data associated with media content. The set of haptic data, metadata, and the media content is transmitted to a computing device.