Electronic device and method for adjusting order of data sets for controlling led, and computer-readable storage medium

Abstract

A processor of a wearable device, according to one embodiment, is configured to use a first control data set from among a plurality of control data sets for controlling a plurality of LEDs, thereby obtaining first image data from a DVS camera on the basis of first light emitted from the plurality of LEDs. The processor is configured to use a second control data set from among the plurality of control data sets, thereby obtaining second image data from the DVS camera on the basis of second light emitted from the plurality of LEDs.

Description

Electronic device, method, and computer-readable storage medium for controlling the order of data sets for controlling LEDs

[0001] The present disclosure relates to an electronic device, a method, and a computer-readable storage medium for controlling a sequence of data sets for controlling an LED (light emitting diode).

[0002] To provide an enhanced user experience, electronic devices are being developed that provide augmented reality (AR) services that display computer-generated information in conjunction with external objects in the real world. The electronic devices may be wearable devices that can be worn by a user. For example, the electronic devices may be AR glasses and / or head-mounted devices (HMDs). The electronic devices may perform a function for recognizing the user's iris.

[0003] In one embodiment, a wearable device may include a plurality of light emitting diodes (LEDs), a dynamic vision sensor (DVS) camera, a memory storing instructions and including one or more storage media, and at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to obtain first image data from the DVS camera based on first light emitted from the plurality of LEDs using a first control data set among a plurality of control data sets for controlling the plurality of LEDs. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to obtain second image data from the DVS camera based on second light emitted from the plurality of LEDs using a second control data set among the plurality of control data sets. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to convert the first image data and the second image data into images using first brightness data corresponding to the first light and second brightness data corresponding to the second light. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to perform a function related to the eye based on identifying an eye of a user wearing the wearable device using the image.

[0004] In one embodiment, a method performed by a wearable device may include an operation of obtaining first image data from a DVS camera based on first light emitted from a plurality of LEDs by using a first control data set among a plurality of control data sets for controlling a plurality of LEDs. The method may include an operation of obtaining second image data from the DVS camera based on second light emitted from the plurality of LEDs by using a second control data set among the plurality of control data sets. The method may include an operation of converting the first image data and the second image data into images by using first brightness data corresponding to the first light and second brightness data corresponding to the second light. The method may include an operation of executing a function related to an eye based on identifying an eye of a user wearing the wearable device by using the image.

[0005] A computer-readable storage medium storing one or more programs according to one embodiment, wherein the one or more programs may be configured to include instructions that, when executed by a processor of a wearable device, cause the wearable device to obtain first image data from a DVS camera based on first light emitted from a plurality of LEDs using a first control data set among a plurality of control data sets for controlling the plurality of LEDs. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to obtain second image data from the DVS camera based on second light emitted from the plurality of LEDs using a second control data set among the plurality of control data sets. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to convert the first image data and the second image data into an image using first brightness data corresponding to the first light and second brightness data corresponding to the second light. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to perform a function related to the eye based on identifying an eye of a user wearing the wearable device using the image.

[0006] FIG. 1 illustrates an example of a block diagram of a wearable device according to one embodiment.

[0007] FIG. 2A illustrates an example of a perspective view of a wearable device, according to one embodiment.

[0008] FIG. 2b illustrates an example of one or more hardware elements disposed within a wearable device, according to one embodiment.

[0009] FIGS. 3A and 3B illustrate an example of an appearance of a wearable device according to one embodiment.

[0010] FIG. 4 illustrates an example of an operation for a wearable device according to one embodiment to obtain multiple control data sets.

[0011] FIG. 5 illustrates an example of a flowchart illustrating the operation of a wearable device according to one embodiment.

[0012] FIG. 6 illustrates an example of an operation of a wearable device according to one embodiment to acquire image data.

[0013] FIG. 7 illustrates an example of image data mapped to a plurality of control data sets by a wearable device according to one embodiment.

[0014] FIG. 8 illustrates an example of a flowchart illustrating the operation of a wearable device according to one embodiment.

[0015] FIG. 9 is a block diagram of an electronic device within a network environment according to various embodiments.

[0016] Hereinafter, various embodiments of this document are described with reference to the attached drawings.

[0017] FIG. 1 illustrates an example block diagram of a wearable device according to one embodiment. In one embodiment, the wearable device (101) may be referred to as a terminal (or user terminal) in terms of being owned by a user. The terminal may include, for example, a personal computer (PC) such as a laptop or desktop. The terminal may include, for example, a smartphone, a smartpad, and / or a tablet PC. The terminal may include a smart accessory such as a smartwatch and / or a head-mounted device (HMD). The wearable device (101) of FIG. 1 may include a head-mounted display (HMD) that is wearable on a user's head. In order to provide a user interface (UI) based on VR (virtual reality), AR (augmented reality), and / or MR (mixed reality) to a user wearing a wearable device (101), the wearable device (101) can control a camera and / or a sensor.

[0018] Referring to FIG. 1, according to one embodiment, a wearable device (101) may include at least one of a processor (120), a memory (130), a dynamic vision sensor (DVS) camera (140), a display (150), or a plurality of LEDs (160). The processor (120), the memory (130), the DVS camera (140), the display (150), and the plurality of LEDs (160) may be electrically and / or operatively connected to each other by an electronic component (or electrical component), such as a communication bus.

[0019] In one embodiment, the hardware of the wearable device (101) being operatively coupled may mean that a direct connection or an indirect connection is established between the hardwares, either wired or wireless, such that the second hardware is controlled by the first hardware among the hardwares. Although illustrated based on different blocks, the embodiment is not limited thereto, and a portion of the hardware of FIG. 2A or FIG. 2B (e.g., at least a portion of the processor (120), the memory (130), and the communication circuit (not shown)) may be included in a single integrated circuit such as a system on a chip (SoC). The type and / or number of hardware included in the wearable device (101) is not limited to that illustrated in FIG. 1. For example, the wearable device (101) may include only some of the hardware components illustrated in FIG. 1.

[0020] According to one embodiment, the processor (120) of the wearable device (101) may include hardware for processing data based on one or more instructions. The hardware for processing data may include, for example, an arithmetic and logic unit (ALU), a floating point unit (FPU), a field programmable gate array (FPGA), a central processing unit (CPU), and / or an application processor (AP). The number of processors (120) may be one or more. For example, the processor (120) may have a multi-core processor structure such as a dual core, a quad core, or a hexa core.

[0021] According to one embodiment, the memory (130) of the wearable device (101) may include hardware components for storing data and / or instructions input and / or output to the processor (120). The memory (130) may include, for example, volatile memory such as random-access memory (RAM) and / or non-volatile memory such as read-only memory (ROM). The volatile memory may include, for example, at least one of dynamic RAM (DRAM), static RAM (SRAM), cache RAM, and pseudo SRAM (PSRAM). The non-volatile memory may include, for example, at least one of programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), flash memory, hard disk, compact disc, solid state drive (SSD), and embedded multimedia card (eMMC).

[0022] According to one embodiment, a wearable device (101) can identify a change in a subject using a dynamic vision sensor (DVS) camera (140). For example, the DVS camera (140) may include a motion recognition sensor (or motion recognition sensor) for recognizing the movement of the subject. For example, the wearable device (101) can identify a difference between frame images using the DVS camera (140) of the wearable device (101). The wearable device (101) can compare a first frame image and a second frame image acquired using the DVS camera (140) to obtain information indicating pixels with no difference and pixels with difference. For example, the difference between the frame images may include a change in the position of the subject within the frame images. The difference between the frame images may include a change in at least one pixel included in each of the frame images. The change in at least one pixel may include a change in brightness data and / or color data for the pixel. The DVS camera (140) can be positioned toward the eyes of a user wearing the wearable device (101) to identify the eyes of the user. When the user moves his or her eyes, the wearable device (101) can identify the movement of the user's eyes using the DVS camera (140).

[0023] According to one embodiment, the display (150) of the wearable device (101) can output visualized information to the user. For example, the display (150) can be controlled by a controller, such as a graphic processing unit (GPU), to output visualized information to the user. The display (150) can include a liquid crystal display (LCD), a plasma display panel (PDP), and / or one or more light emitting diodes (LEDs). The LEDs can include organic LEDs (OLEDs). The display (150) can include electronic paper. The display (150) can have an at least partially curved shape and / or a deformable shape.

[0024] According to one embodiment, a plurality of LEDs (light emitting diodes) (160) of a wearable device (101) may output light (e.g., infrared) of a specified wavelength band. Each of the plurality of LEDs (160) may be arranged at a portion of the wearable device (101) so as to emit light toward the eyes of a user wearing the wearable device (101). Depending on the embodiment, the wearable device (101) may change the arrangement positions of the plurality of LEDs (160) of the wearable device (101). However, the present invention is not limited thereto. From the perspective of outputting infrared rays, the plurality of LEDs (160) may be referred to as IR LEDs (infrared light emitting diodes).

[0025] According to one embodiment, one or more instructions (or commands) representing operations and / or actions to be performed on data by the processor (120) of the wearable device (101) may be stored in the memory (130) of the wearable device (101). A set of one or more instructions may be referred to as firmware, an operating system, a process, a routine, a sub-routine, and / or an application. For example, the wearable device (101) and / or the processor (120) may perform at least one of the operations of FIG. 5 or FIG. 8 when a set of a plurality of instructions distributed in the form of an operating system, firmware, a driver, and / or an application is executed. Hereinafter, the fact that an application is installed in a wearable device (101) may mean that one or more instructions provided in the form of an application are stored in a memory (130), and that the one or more applications are stored in a format executable by the processor (120) (e.g., a file having an extension specified by the operating system of the wearable device (101)). For example, an application may include a program and / or a library related to a service provided to a user.

[0026] For example, the wearable device (101) can track the eyes of a user identified using the DVS camera (140) based on the execution of the gaze tracking software application (131). Based on the execution of the gaze tracking software application (131), the wearable device (101) can identify a gaze corresponding to the eye. The wearable device (101) can initiate the execution of at least one function for performing interaction with an external object (or virtual object) matching the gaze, but is not limited thereto.

[0027] For example, the wearable device (101) can identify a user by identifying the user's eyes using the DVS camera (140) based on the execution of the iris recognition software application (132). The wearable device (101) can identify the user based on identifying the shape of the eye (or the pattern of the iris). The wearable device (101) can initiate execution of the iris recognition software application (132) to authenticate the user based on the execution of a function accessible to the user. The wearable device (101) can initiate execution of the function accessible to the user after authenticating the user having the identified eye using the DVS camera (140) based on the execution of the iris recognition software application (132).

[0028] According to one embodiment, a wearable device (101) may identify a plurality of control data sets (135) for outputting light toward the eyes using a plurality of LEDs (160) to obtain an image representing the user's eyes using a DVS camera (140). The plurality of control data sets (135) may include brightness information that is appropriately set to identify the user's eyes. The plurality of control data sets (135) may be referred to as control profile information (or control profile data sets) from a user-related perspective. The plurality of control data sets (135) may be referred to as iris sensing information from an eye-related perspective.

[0029] For example, a plurality of control data sets (135) may be acquired using a user interface for identifying the user's eyes. The plurality of control data sets (135) may include information indicating the intensity of light emitted by each of the plurality of LEDs to identify the eyes of the user wearing the wearable device (101). An operation of the wearable device (101) for acquiring the plurality of control data sets (135) is described below with reference to FIG. 4.

[0030] According to an embodiment as described above, the wearable device (101) can cause a change in the eye based on controlling a plurality of LEDs (160) to emit light toward the user's eyes. The wearable device (101) can identify the change in the eye using the DVS camera (140). Based on identifying the change in the eye, the wearable device (101) can obtain image data representing the eye (e.g., image data (620) of FIG. 6). The wearable device (101) can change the image data into an image for identifying the eye using brightness data corresponding to the image data (e.g., brightness data (630) of FIG. 6). The wearable device (101) can obtain information about the user's eyes based on identifying the eyes using the DVS camera (140) and using relatively less power than using another camera (not shown) that is distinct from the DVS camera (140). The wearable device (101) can obtain information about the user's eyes based on identifying the eyes using the DVS camera (140) and using a relatively fast speed.

[0031] FIG. 2A illustrates an example of a perspective view of a wearable device according to one embodiment. According to one embodiment, the wearable device (101) may have a form of glasses that can be worn on a body part of a user (e.g., head). The wearable device (101) of FIGS. 2A and 2B may be an example of the wearable device (101) of FIG. 1 . The wearable device (101) may include a head-mounted display (HMD). For example, the housing of the wearable device (101) may include a flexible material, such as rubber and / or silicone, that is configured to fit closely to a portion of the user's head (e.g., a portion of the face surrounding both eyes). For example, the housing of the wearable device (101) may include one or more straps capable of being twined around the user's head, and / or one or more temples attachable to the ears of the head.

[0032] Referring to FIG. 2A, according to one embodiment, a wearable device (101) may include at least one display (250) and a frame (200) supporting at least one display (250).

[0033] According to one embodiment, a wearable device (101) can be worn on a part of a user's body. The wearable device (101) can provide augmented reality (AR), virtual reality (VR), or mixed reality (MR) that combines augmented reality and virtual reality to a user wearing the wearable device (101). For example, the wearable device (101) can display a virtual reality image provided from at least one optical device (282, 284) of FIG. 2B on at least one display (250) in response to a user's designated gesture acquired through the motion recognition cameras (260-2, 260-3) of FIG. 2B.

[0034] According to one embodiment, at least one display (250) may provide visual information to a user. For example, at least one display (250) may include a transparent or translucent lens. At least one display (250) may include a first display (250-1) and / or a second display (250-2) spaced apart from the first display (250-1). For example, the first display (250-1) and the second display (250-2) may be positioned at positions corresponding to the user's left and right eyes, respectively.

[0035] Referring to FIG. 2B, at least one display (250) can provide visual information transmitted from external light to the user through a lens included in the at least one display (250), and other visual information distinct from the visual information. The lens can be formed based on at least one of a Fresnel lens, a pancake lens, or a multi-channel lens. For example, at least one display (250) can include a first surface (231) and a second surface (232) opposite to the first surface (231). A display area can be formed on the second surface (232) of the at least one display (250). When a user wears the wearable device (101), external light can be transmitted to the user by being incident on the first surface (231) and transmitted through the second surface (232). As another example, at least one display (250) can display an augmented reality image combined with a virtual reality image provided from at least one optical device (282, 284) on a real screen transmitted through external light, in a display area formed on the second surface (232).

[0036] In one embodiment, at least one display (250) may include at least one waveguide (233, 234) that diffracts light emitted from at least one optical device (282, 284) and transmits the diffracted light to a user. The at least one waveguide (233, 234) may be formed based on at least one of glass, plastic, or polymer. A nano-pattern may be formed on at least a portion of the exterior or interior of the at least one waveguide (233, 234). The nano-pattern may be formed based on a grating structure having a polygonal and / or curved shape. Light incident on one end of the at least one waveguide (233, 234) may be propagated to the other end of the at least one waveguide (233, 234) by the nano-pattern. At least one waveguide (233, 234) may include at least one diffractive element (e.g., a diffractive optical element (DOE), a holographic optical element (HOE)) and at least one reflective element (e.g., a reflective mirror). For example, at least one waveguide (233, 234) may be arranged within the wearable device (101) to guide a screen displayed by at least one display (250) to the user's eyes. For example, the screen may be transmitted to the user's eyes based on total internal reflection (TIR) ​​occurring within the at least one waveguide (233, 234).

[0037] The wearable device (101) can analyze an object included in a real image collected through a shooting camera (260-4), combine a virtual object corresponding to an object to be provided with augmented reality among the analyzed objects, and display the virtual object on at least one display (250). The virtual object can include at least one of text and an image regarding various information related to the object included in the real image. The wearable device (101) can analyze the object based on a multi-camera such as a stereo camera. For the object analysis, the wearable device (101) can perform spatial recognition (e.g., simultaneous localization and mapping (SLAM)) using a multi-camera and / or time-of-flight (ToF). A user wearing the wearable device (101) can view an image displayed on at least one display (250).

[0038] According to one embodiment, the frame (200) may be formed as a physical structure that allows the wearable device (101) to be worn on the user's body. According to one embodiment, the frame (200) may be configured so that, when the user wears the wearable device (101), the first display (250-1) and the second display (250-2) can be positioned corresponding to the user's left and right eyes. The frame (200) may support at least one display (250). For example, the frame (200) may support the first display (250-1) and the second display (250-2) to be positioned corresponding to the user's left and right eyes.

[0039] Referring to FIG. 2A, the frame (200) may include a region (220) that is at least partially in contact with a part of the user's body when the user wears the wearable device (101). For example, the region (220) of the frame (200) that is in contact with a part of the user's body may include a region that is in contact with a part of the user's nose, a part of the user's ear, and a part of the side of the user's face that the wearable device (101) makes contact with. According to one embodiment, the frame (200) may include a nose pad (210) that is in contact with a part of the user's body. When the wearable device (101) is worn by the user, the nose pad (210) may be in contact with a part of the user's nose. The frame (200) may include a first temple (204) and a second temple (205) that are in contact with another part of the user's body that is distinct from the part of the user's body.

[0040] For example, the frame (200) may include a first rim (201) that surrounds at least a portion of the first display (250-1), a second rim (202) that surrounds at least a portion of the second display (250-2), a bridge (203) that is disposed between the first rim (201) and the second rim (202), a first pad (211) that is disposed along a portion of the edge of the first rim (201) from one end of the bridge (203), a second pad (212) that is disposed along a portion of the edge of the second rim (202) from the other end of the bridge (203), a first temple (204) that extends from the first rim (201) and is fixed to a portion of the wearer's ear, and a second temple (205) that extends from the second rim (202) and is fixed to a portion of the ear opposite the ear. The first pad (211) and the second pad (212) may be in contact with a portion of the user's nose, and the first temple (204) and the second temple (205) may be in contact with a portion of the user's face and a portion of the user's ear. The temples (204, 205) may be rotatably connected to the rim through the hinge units (206, 207) of FIG. 2B. The first temple (204) may be rotatably connected to the first rim (201) through the first hinge unit (206) disposed between the first rim (201) and the first temple (204). The second temple (205) may be rotatably connected to the second rim (202) through the second hinge unit (207) disposed between the second rim (202) and the second temple (205). According to one embodiment, the wearable device (101) can identify an external object (e.g., a user's fingertip) touching the frame (200) and / or a gesture performed by the external object by using a touch sensor, a grip sensor, and / or a proximity sensor formed on at least a portion of a surface of the frame (200).

[0041] According to one embodiment, the wearable device (101) may include hardwares that perform various functions (e.g., hardwares to be described later based on the block diagram of FIG. 9). For example, the hardwares may include a battery module (270), an antenna module (275), at least one optical device (282, 284), speakers (e.g., speakers 255-1, 255-2), a microphone (e.g., microphones 265-1, 265-2, 265-3), a light-emitting module (not shown), and / or a printed circuit board (PCB) (290) (e.g., a printed circuit board). The various hardwares may be arranged within the frame (200).

[0042] According to one embodiment, the microphones (e.g., microphones 265-1, 265-2, 265-3) of the wearable device (101) may be disposed on at least a portion of the frame (200) to acquire sound signals. A first microphone (265-1) disposed on the bridge (203), a second microphone (265-2) disposed on the second rim (202), and a third microphone (265-3) disposed on the first rim (201) are illustrated in FIG. 2B , but the number and arrangement of the microphones (265) are not limited to the embodiment of FIG. 2B . When the number of microphones (265) included in the wearable device (101) is two or more, the wearable device (101) may identify the direction of the sound signal by using a plurality of microphones disposed on different portions of the frame (200).

[0043] According to one embodiment, at least one optical device (282, 284) may project a virtual object onto at least one display (250) to provide various image information to a user. For example, at least one optical device (282, 284) may be a projector. At least one optical device (282, 284) may be disposed adjacent to at least one display (250) or may be included within at least one display (250) as a part of at least one display (250). According to one embodiment, the wearable device (101) may include a first optical device (282) corresponding to a first display (250-1) and a second optical device (284) corresponding to a second display (250-2). For example, at least one optical device (282, 284) may include a first optical device (282) disposed at an edge of a first display (250-1) and a second optical device (284) disposed at an edge of a second display (250-2). The first optical device (282) may transmit light to a first waveguide (233) disposed on the first display (250-1), and the second optical device (284) may transmit light to a second waveguide (234) disposed on the second display (250-2).

[0044] In one embodiment, the camera (260) may include a recording camera (260-4), an eye tracking camera (ET CAM) (260-1), and / or a motion recognition camera (260-2, 260-3). The recording camera (260-4), the eye tracking camera (260-1), and the motion recognition cameras (260-2, 260-3) may be positioned at different locations on the frame (200) and may perform different functions. The eye tracking camera (260-1) may output data indicating the position or gaze of the eyes of a user wearing the wearable device (101). For example, the wearable device (101) may detect the gaze from an image including the user's pupils obtained through the eye tracking camera (260-1). The wearable device (101) can identify an object (e.g., a real object and / or a virtual object) focused on by the user using the user's gaze acquired through the gaze tracking camera (260-1). The wearable device (101) that has identified the focused object can execute a function (e.g., gaze interaction) for interaction between the user and the focused object. The wearable device (101) can express a part corresponding to the eye of an avatar representing the user in a virtual space using the user's gaze acquired through the gaze tracking camera (260-1). The wearable device (101) can render an image (or screen) displayed on at least one display (250) based on the position of the user's eyes. For example, the visual quality of a first region related to the gaze within the image and the visual quality (e.g., resolution, brightness, saturation, grayscale, PPI) of a second region distinguished from the first region may be different from each other. The wearable device (101) can obtain an image having visual quality of a first area matching the user's gaze and visual quality of a second area using foveated rendering.For example, if the wearable device (101) supports an iris recognition function, user authentication can be performed based on iris information acquired using the gaze tracking camera (260-1). An example in which the gaze tracking camera (260-1) is positioned toward the user's right eye is illustrated in FIG. 2B, but the embodiment is not limited thereto, and the gaze tracking camera (260-1) may be positioned solely toward the user's left eye, or toward both eyes.

[0045] In one embodiment, the capturing camera (260-4) can capture an actual image or background to be aligned with a virtual image to implement augmented reality or mixed reality content. The capturing camera (260-4) can be used to acquire a high-resolution image based on HR (high resolution) or PV (photo video). The capturing camera (260-4) can capture an image of a specific object existing at a location viewed by the user and provide the image to at least one display (250). The at least one display (250) can display a single image in which information about an actual image or background including the image of the specific object acquired using the capturing camera (260-4) is superimposed on a virtual image provided through at least one optical device (282, 284). The wearable device (101) can compensate for depth information (e.g., the distance between the wearable device (101) and an external object acquired through a depth sensor) using the image acquired through the capturing camera (260-4). The wearable device (101) can perform object recognition through an image acquired using the capturing camera (260-4). The wearable device (101) can perform a function of focusing on an object (or subject) in an image (e.g., auto focus) and / or an optical image stabilization (OIS) function (e.g., anti-shake function) using the capturing camera (260-4). The wearable device (101) can perform a pass-through function to display an image acquired through the capturing camera (260-4) by overlapping at least a portion of a screen representing a virtual space on at least one display (250). In one embodiment, the capturing camera (260-4) can be disposed on a bridge (203) disposed between the first rim (201) and the second rim (202).

[0046] The gaze tracking camera (260-1) can implement more realistic augmented reality by tracking the gaze of a user wearing a wearable device (101), thereby matching the user's gaze with visual information provided to at least one display (250). For example, when the wearable device (101) looks straight ahead, the wearable device (101) can naturally display environmental information related to the user's front at a location where the user is located on at least one display (250). The gaze tracking camera (260-1) can be configured to capture an image of the user's pupil to determine the user's gaze. For example, the gaze tracking camera (260-1) can receive gaze detection light reflected from the user's pupil and track the user's gaze based on the position and movement of the received gaze detection light. In one embodiment, the gaze tracking camera (260-1) can be positioned at positions corresponding to the user's left and right eyes. For example, the gaze tracking camera (260-1) may be positioned within the first rim (201) and / or the second rim (202) to face the direction in which the user wearing the wearable device (101) is positioned.

[0047] The motion recognition camera (260-2, 260-3) can recognize the movement of the user's entire body, such as the user's torso, hand, or face, or a part of the body, and thereby provide a specific event on a screen provided on at least one display (250). The motion recognition camera (260-2, 260-3) can recognize the user's motion (gesture recognition), obtain a signal corresponding to the motion, and provide a display corresponding to the signal on at least one display (250). The processor can identify the signal corresponding to the motion, and perform a designated function based on the identification. The motion recognition camera (260-2, 260-3) can be used to perform a spatial recognition function using SLAM and / or a depth map for 6 degrees of freedom pose (6 dof pose). The processor can perform a gesture recognition function and / or an object tracking function using the motion recognition camera (260-2, 260-3). In one embodiment, the motion recognition cameras (260-2, 260-3) may be positioned on the first rim (201) and / or the second rim (202).

[0048] The camera (260) included in the wearable device (101) is not limited to the above-described gaze tracking camera (260-1) and motion recognition cameras (260-2, 260-3). For example, the wearable device (101) can identify an external object included in the FoV using a camera positioned toward the user's FoV. The wearable device (101) can identify an external object based on a sensor for identifying the distance between the wearable device (101) and the external object, such as a depth sensor and / or a time of flight (ToF) sensor. The camera (260) positioned toward the FoV can support an autofocus function and / or an optical image stabilization (OIS) function. For example, the wearable device (101) may include a camera (260) (e.g., a face tracking (FT) camera) positioned toward the face to obtain an image including the face of a user wearing the wearable device (101).

[0049] Although not shown, in one embodiment, the wearable device (101) may further include a light source (e.g., an LED) that emits light toward a subject (e.g., a user's eyes, face, and / or an external object within the FoV) being photographed using the camera (260). The light source may include an LED having an infrared wavelength. The light source may be disposed on at least one of the frame (200) and the hinge units (206, 207).

[0050] According to one embodiment, the battery module (270) may supply power to electronic components of the wearable device (101). In one embodiment, the battery module (270) may be disposed within the first temple (204) and / or the second temple (205). For example, the battery module (270) may be a plurality of battery modules (270). The plurality of battery modules (270) may be disposed within each of the first temple (204) and the second temple (205). In one embodiment, the battery module (270) may be disposed at an end of the first temple (204) and / or the second temple (205).

[0051] The antenna module (275) can transmit signals or power to the outside of the wearable device (101), or receive signals or power from the outside. In one embodiment, the antenna module (275) can be positioned within the first temple (204) and / or the second temple (205). For example, the antenna module (275) can be positioned close to one surface of the first temple (204) and / or the second temple (205).

[0052] The speaker (255) can output an acoustic signal to the outside of the wearable device (101). The acoustic output module may be referred to as a speaker. In one embodiment, the speaker (255) may be positioned within the first temple (204) and / or the second temple (205) so as to be positioned adjacent to the ear of a user wearing the wearable device (101). For example, the speaker (255) may include a second speaker (255-2) positioned within the first temple (204) and thus positioned adjacent to the user's left ear, and a first speaker (255-1) positioned within the second temple (205) and thus positioned adjacent to the user's right ear.

[0053] The light-emitting module (not shown) may include at least one light-emitting element. The light-emitting module may emit light of a color corresponding to a specific state or emit light with an action corresponding to a specific state in order to visually provide information regarding a specific state of the wearable device (101) to the user. For example, when the wearable device (101) requires charging, it may emit red light at a regular cycle. In one embodiment, the light-emitting module may be disposed on the first rim (201) and / or the second rim (202).

[0054] Referring to FIG. 2B, according to one embodiment, a wearable device (101) may include a printed circuit board (PCB) (290). The PCB (290) may be included in at least one of the first temple (204) or the second temple (205). The PCB (290) may include an interposer disposed between at least two sub-PCBs. One or more hardwares included in the wearable device (101) (e.g., hardwares illustrated by different blocks in FIG. 4A) may be disposed on the PCB (290). The wearable device (101) may include a flexible PCB (FPCB) for interconnecting the hardwares.

[0055] According to one embodiment, a wearable device (101) may include at least one of a gyro sensor, a gravity sensor, and / or an acceleration sensor for detecting a posture of the wearable device (101) and / or a posture of a body part (e.g., a head) of a user wearing the wearable device (101). Each of the gravity sensor and the acceleration sensor may measure gravitational acceleration and / or acceleration based on mutually perpendicular designated three-dimensional axes (e.g., an x-axis, a y-axis, and a z-axis). The gyro sensor may measure an angular velocity of each of the designated three-dimensional axes (e.g., an x-axis, a y-axis, and a z-axis). At least one of the gravity sensor, the acceleration sensor, and the gyro sensor may be referred to as an inertial measurement unit (IMU). According to one embodiment, the wearable device (101) may identify a user's motion and / or gesture performed to execute or terminate a specific function of the wearable device (101) based on the IMU.

[0056] Figures 3a and 3b illustrate an example of an exterior appearance of a wearable device according to one embodiment. The wearable device (101) of Figures 3a and 3b may be an example of the wearable device (101) of Figure 1. An example of an exterior appearance of a first side (310) of a housing of the wearable device (101) according to one embodiment may be illustrated in Figure 3a, and an example of an exterior appearance of a second side (320) opposite to the first side (310) may be illustrated in Figure 3b.

[0057] Referring to FIG. 3A, according to one embodiment, a first surface (310) of a wearable device (101) may have a form attachable to a body part of a user (e.g., the face of the user). Although not shown, the wearable device (101) may further include a strap for fixing to a body part of a user, and / or one or more temples (e.g., the first temple (204) and / or the second temple (205) of FIGS. 2A and 2B). A first display (250-1) for outputting an image to a left eye among the user's two eyes, and a second display (250-2) for outputting an image to a right eye among the user's two eyes may be disposed on the first surface (310). The wearable device (101) is formed on the first surface (310) and may further include a rubber or silicone packing to prevent interference by light (e.g., ambient light) different from the light emitted from the first display (250-1) and the second display (250-2).

[0058] According to one embodiment, the wearable device (101) may include cameras (260-1) for photographing and / or tracking both eyes of the user adjacent to each of the first display (250-1) and the second display (250-2). The cameras (260-1) may be referred to as the gaze tracking camera (260-1) of FIG. 2B. According to one embodiment, the wearable device (101) may include cameras (260-5, 260-6) for photographing and / or recognizing the face of the user. The cameras (260-5, 260-6) may be referred to as FT cameras. The wearable device (101) may control an avatar representing the user in a virtual space based on the motion of the user's face identified using the cameras (260-5, 260-6). For example, the wearable device (101) may change the texture and / or shape of a portion of an avatar (e.g., a portion of an avatar representing a human face) using information obtained by cameras (260-5, 260-6) (e.g., FT cameras) and representing the facial expression of a user wearing the wearable device (101).

[0059] Referring to FIG. 3B, a camera (e.g., cameras (260-7, 260-8, 260-9, 260-10, 260-11, 260-12)) and / or a sensor (e.g., a depth sensor (330)) for obtaining information related to the external environment of the wearable device (101) may be disposed on a second surface (320) opposite to the first surface (310) of FIG. 3A. For example, the cameras (260-7, 260-8, 260-9, 260-10) may be disposed on the second surface (320) to recognize external objects. Cameras (260-7, 260-8, 260-9, 260-10) may be referenced to the motion recognition cameras (260-2, 260-3) of FIG. 2B.

[0060] For example, using cameras (260-11, 260-12), the wearable device (101) can obtain images and / or videos to be transmitted to each of the user's eyes. The camera (260-11) can be placed on the second face (320) of the wearable device (101) to obtain an image to be displayed through the second display (250-2) corresponding to the right eye among the two eyes. The camera (260-12) can be placed on the second face (320) of the wearable device (101) to obtain an image to be displayed through the first display (250-1) corresponding to the left eye among the two eyes. The cameras (260-11, 260-12) can be referred to as the shooting camera (260-4) of FIG. 2B.

[0061] According to one embodiment, the wearable device (101) may include a depth sensor (330) disposed on the second face (320) to identify a distance between the wearable device (101) and an external object. Using the depth sensor (330), the wearable device (101) may obtain spatial information (e.g., a depth map) for at least a portion of the FoV of a user wearing the wearable device (101). Although not illustrated, a microphone may be disposed on the second face (320) of the wearable device (101) to obtain a sound output from an external object. The number of microphones may be one or more, depending on the embodiment.

[0062] FIG. 4 illustrates an example of an operation for a wearable device according to one embodiment to acquire multiple control data sets. The wearable device (101) of FIG. 4 may be included in the wearable device (101) of FIG. 1.

[0063] Referring to FIG. 4, a wearable device (101) according to one embodiment can obtain a data set (e.g., a plurality of control data sets (135) of FIG. 1) for controlling a plurality of LEDs (160) to identify a user's eyes using a DVS camera (140). The wearable device (101) can output light toward the user's eyes based on the brightness of each of the plurality of LEDs. The wearable device (101) can obtain frame images (410, 420, 430) using the DVS camera (140) based on the light output toward the user's eyes. Referring to FIG. 4, the frame images (410, 420, 430) are illustrated as images corresponding to eyes, but may be obtained based on a format such as data of pixels representing changes in the eyes.

[0064] For example, the wearable device (101) can output light from each of the plurality of LEDs (160) by adjusting the brightness value corresponding to each of the plurality of LEDs (160) of FIG. 1. The wearable device (101) can output light from each of the plurality of LEDs (160) based on a specified cycle. The wearable device (101) can control at least one of the plurality of LEDs (160) to output light based on the specified cycle. The number of the plurality of LEDs (160) that the wearable device (101) controls to output light may vary depending on the specified cycle. The wearable device (101) can change the number of the plurality of LEDs (160) that output light and / or the intensity of light corresponding to the light depending on the specified cycle in order to identify the user's eyes.

[0065] For example, the wearable device (101) can guide the position of the eye using a user interface (not shown) for acquiring an image of the eye. The wearable device (101) can guide the position of the user's eye based on the user interface for performing calibration in order to control a plurality of LEDs (160) for identifying the eye. For example, while displaying the user interface on the display, the wearable device (101) can control a plurality of LEDs (160) according to a specified cycle to output light, and can acquire frame images representing the eye using the DVS camera (140) based on the output light. The wearable device (101) can identify the status of the plurality of LEDs (160) corresponding to each of the frame images depending on whether the eye corresponding to each of the frame images has been identified. In order to identify the status of the plurality of LEDs (160) corresponding to each of the frame images, the wearable device (101) can synchronize the timing at which light is output from the plurality of LEDs (160) with the timing at which the frame image is acquired using the DVS camera (140). The wearable device (101) can acquire the status of the plurality of LEDs (160) corresponding to the frame image based on identifying the timing at which light is output from the plurality of LEDs (160) corresponding to the timing at which the frame image is acquired. The status of the plurality of LEDs (160) can indicate the active status (or inactive status) of the plurality of LEDs (160) and / or the intensity of light emitted by each of the plurality of LEDs (160). For example, when the wearable device (101) identifies an eye using a frame image, it can obtain a data set (e.g., a plurality of control data sets (135) of FIG. 1) indicating the states of a plurality of LEDs (160) corresponding to the frame image.

[0066] For example, the wearable device (101) can control the first LED (160-1) among the plurality of LEDs (160) to output light. The wearable device (101) can identify a change in a subject (e.g., a user's eyes) based on the light output using the DVS camera (140). The wearable device (101) can obtain a frame image (420) based on identifying a change in the subject. The wearable device (101) can identify the user's eye (415-1) (or iris) using the frame image (420). The wearable device (101) can identify the shape (416) of the eye (or iris pattern) based on identifying the user's eye (415-1) (or iris). Since the shape of the eye (416) varies depending on the user, the wearable device (101) can identify the user based on the identification of the shape of the eye (416). For example, the wearable device (101) can authenticate the user after identifying the shape of the eye (416) based on the execution of the iris recognition software application (132) of FIG. 1.

[0067] For example, the wearable device (101) may acquire a control data set of the first LED (126-1) used to acquire a frame image (420) based on the identification of the shape of the eye (416). The control data set may include information indicating the intensity of light emitted from the first LED (126-1). The control data set may include brightness data of the frame image (420) corresponding to the intensity of light output from the first LED (126-1). The brightness data may include brightness information for each pixel of the frame image (420).

[0068] According to one embodiment, a wearable device (101) can control a second LED (160-2) among a plurality of LEDs (160) to output light. The wearable device (101) can identify a change in a subject (e.g., a user's eyes) based on the light output using a DVS camera (140). The wearable device (101) can obtain a frame image (430) based on identifying a change in the subject. The wearable device (101) can identify the user's eyes (415-2) using the frame image (430). The wearable device (101) can identify a glint (440) caused by light output from the second LED (160-2) within the frame image (430). For example, the glint (440) may be generated by light output from the second LED (1602) being reflected by an object (e.g., the user's eye). The wearable device (101) may identify the shape (417) of the user's eye that is at least partially obscured by the glint (440). The wearable device (101) may refrain from storing a data set for controlling the second LED (160-2) based on identifying the glint (440) that appears to overlap at least a portion of the eye (415-2) (or iris). Since the wearable device (101) cannot accurately identify the shape (417) of the eye, it may refrain from storing a data set for controlling the second LED (160-2). However, the present invention is not limited thereto.

[0069] For example, the wearable device (101) can control the first LED (160-1) during a first time interval to obtain a frame image (410). As an example, the number of the first LED (160-1) and / or the second LED (160-2) may be one or more. The wearable device (101) can control the second LED (160-2) during a second time interval to obtain a frame image (430). The wearable device (101) can obtain a control data set indicating the state of the first LED (160-1) controlled during the first time interval based on identifying an eye (or shape of the eye) using the frame image (420). The wearable device (101) may refrain from acquiring a control data set representing the state of the second LED (160-2) controlled during the second time interval based on identifying an eye (or shape of the eye) that is at least partially covered by the glint (440) using the frame image (430). For example, the wearable device (101) may acquire a control data set for accurately identifying the shape of the user's eye (or iris). The wearable device (101) may acquire a control data set for at least one of the plurality of LEDs controlled to acquire the frame image using the degree of preservation of the eye shape and / or the validity of the eye shape (e.g., a parameter representing the degree to which the user can be identified).

[0070] As described above, the wearable device (101) according to one embodiment can control a plurality of LEDs (160) to output light according to the position of the user's eyes. Based on the outputted light, the wearable device (101) can obtain one or more frame images (420, 430) using the DVS camera (140). The wearable device (101) can identify a frame image (420) capable of recognizing an eye among the one or more frame images (420, 430). The wearable device (101) can obtain a data set indicating the state of the first LED (160-1) controlled to obtain the frame image (420). The wearable device (101) can obtain a plurality of control data sets (135) for controlling each of the plurality of LEDs (160) using a designated cycle, brightness, and / or order to identify the position of the user's eyes based on calibration.

[0071] FIG. 5 illustrates an example of a flowchart illustrating the operation of a wearable device according to one embodiment. The wearable device of FIG. 5 may include the wearable device (101) of FIGS. 1 to 4. At least one of the operations of FIG. 5 may be performed by the wearable device (101) of FIG. 1. At least one of the operations of FIG. 5 may be controlled by the processor (120) of FIG. 1. Each of the operations of FIG. 5 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel.

[0072] Referring to FIG. 5, in operation 510, a processor according to an embodiment may obtain first image data from a DVS camera based on first light emitted from the plurality of LEDs by using a first control data set among a plurality of control data sets for controlling the plurality of LEDs. For example, the processor may output the first light by combining some of the plurality of LEDs by using the first control data set during a first time interval. The plurality of control data sets may be obtained by the wearable device (101) through a user interface for calibrating the user's eyes. The plurality of control data sets may include information indicating the intensity of light output by each of the plurality of LEDs capable of identifying the user's eyes according to the position of the user's eyes. The processor may identify a change in the user's eyes by the light emitted from the plurality of LEDs by using the DVS camera. The processor may obtain first image data indicating a change in the eyes based on the identification of the change in the eyes by using the DVS camera. The first image data may include binary-based image data acquired during a time interval in which the first light is output using the first control data set.

[0073] Referring to FIG. 5, in operation 520, a processor according to an embodiment may obtain second image data from a DVS camera based on second light emitted from a plurality of LEDs using a second control data set. Operation 520 may be referenced to operation 510. As an example, the processor may output the second light by combining other portions of the plurality of LEDs using the second control data set during a second time interval. However, the present invention is not limited thereto. Some of the plurality of LEDs controlled during the first time interval may overlap other portions of the plurality of LEDs controlled during the second time interval.

[0074] Referring to FIG. 5, in operation 530, a processor according to an embodiment may change first image data and second image data into images using first brightness data corresponding to first light and second brightness data corresponding to second light. The processor may adjust (or change) the order of a plurality of control data sets used to obtain the first image data and the second image data to encrypt information about the user's eyes. For example, the processor may control the plurality of LEDs using each of the changed plurality of control data sets based on adjusting (or changing) the order of the plurality of control data sets. For example, the processor may obtain the first image data after obtaining the second image data. The processor may obtain the first image data based on the first control data set during a first time interval, after obtaining the second image data based on the second control data set, during a second time interval.

[0075] For example, the processor can convert a first combination of first image data and first brightness data, and a second combination of second image data and second brightness data into an image. The image can include a subject representing an eye. For example, the processor can obtain information about a first light to identify first brightness data corresponding to the first image data. The information about the first light can be included in a first control data set. The first combination can be obtained by calculating the first image data and the first brightness data based on a specified operation (e.g., multiplication). The second combination can be obtained by calculating the second image data and the second brightness data based on a specified operation (e.g., multiplication). The first combination and / or the second combination can be obtained based on a two-dimensional matrix format, but is not limited thereto. For example, the processor can infer the first brightness data based on the intensity of the first light output from each of the plurality of LEDs.

[0076] Referring to FIG. 5, at operation 540, a processor according to one embodiment may execute an eye-related function based on identifying the eyes of a user wearing a wearable device using an image. For example, the eye-related function may include a function for user authentication using iris recognition, a function for tracking eyes (or gaze), and / or a function for recognizing a user's face.

[0077] Hereinafter, with reference to FIG. 6, an example of an operation of a wearable device according to one embodiment to obtain image data corresponding to each of a plurality of control date sets is described.

[0078] FIG. 6 illustrates an example of an operation of a wearable device according to one embodiment to acquire image data. The wearable device (101) of FIG. 6 may include the wearable devices (101) of FIGS. 1 to 5 . Referring to FIG. 6 , an exemplary state (600) is illustrated in which the wearable device (101) according to one embodiment controls a plurality of LEDs (160) based on a plurality of control data sets (135) to acquire image data (620).

[0079] A wearable device (101) according to one embodiment can identify a plurality of control data sets (135) acquired using calibration. Based on the identified specified conditions, the wearable device (101) can control a plurality of LEDs (160) using the plurality of control data sets (135).

[0080] For example, the specified condition may include the execution of the gaze tracking software application (131) of FIG. 1. The specified condition may include the execution of the iris recognition software application (132). The specified condition may include the case where the movement of an external object (e.g., an eyelid) related to the user's eye is identified. The specified condition may include the case where the signal for tracking the user's gaze is lost. For example, the specified condition may include the case where a specified period of time has passed since the user's eye was identified using the DVS camera (140). For example, the specified condition may include the case where a specified period of time has passed since the user's eye was identified using the DVS camera (140) without identifying a change in the user's eye. As an example, the wearable device (101) may initiate an operation to identify the eye using a plurality of control data sets (135) to identify the position of the user's eye without identifying a change in the user's eye after identifying the user's eye. However, the present invention is not limited thereto.

[0081] For example, the wearable device (101) can control the plurality of LEDs (160) based on the first control data set (135-1) among the plurality of control data sets (135). The plurality of control data sets (135) may include the first control data set (135-1) to the Nth control data set (135-N), depending on the embodiment. The wearable device (101) can control the plurality of LEDs (160) using at least one of the plurality of control data sets (135). The wearable device (101) can select the number of control data sets to be used to obtain an image for identifying an eye using image data obtained through the DVS camera (140). However, the present invention is not limited thereto. The wearable device (101) can output the first light (605) from the plurality of LEDs (160) based on the first control data set (135-1). The wearable device (101) can identify at least a portion of the first light (605) reflected by the subject through the DVS camera (140). The wearable device (101) can acquire a plurality of pixels (610) based on identifying at least a portion of the reflected first light (605). The plurality of pixels (610) can represent an image formed on the DVS camera (140) by at least a portion of the reflected first light (605). The size of the plurality of pixels (610) can have a size corresponding to, for example, the field of view (FoV) of the DVS camera (140).

[0082] For example, based on identifying at least a portion of the first light (605) reflected by the subject through the DVS camera (140), the wearable device (101) can obtain the first image data (620-1). The wearable device (101) can obtain the first image data (620-1) based on the light intensity of the first light (605). For example, if the intensity of the first light is a first value (e.g., 1) and the data for the first pixel (610-1) is a second value (e.g., 3), the sensing data obtained from at least a portion of the first light reflected by the first pixel (610-1) can be a third value (e.g., 3). As an example, the wearable device (101) can identify a value that is greater than or equal to a threshold value (e.g., 2). The wearable device may temporarily refrain from acquiring a value below a threshold value. If the sensing data acquired from another portion of the first light reflected by the first pixel (610-1) is below the threshold value (e.g., 2), the wearable device (101) may acquire data similar to the first image data (620-1). However, the present invention is not limited thereto. The wearable device (101) may identify the first control data set (135-1) corresponding to the first image data (620-1). The wearable device (101) may identify the first control data set (135-1) used to acquire the first image data (620-1). The wearable device (101) may identify the intensity of the first light (605) output based on the first control data set (135-1). The wearable device (101) can identify brightness data by the first light reflected by the first light (605).

[0083] For example, the wearable device (101) can control a plurality of LEDs (160) using the second control data set (135-2). The number of the plurality of LEDs (160) controlled using the first control data set (135-1) and / or the intensity of the light output may be different from the number of the plurality of LEDs (160) controlled using the second control data set (135-2) and / or the intensity of the light output. The wearable device (101) can control the plurality of LEDs (160) using the second control data set (135-2) to emit the second light (606) toward the subject (e.g., the user's eye) (610). The wearable device (101) can identify at least a portion of the second light (606) reflected by the subject through the DVS camera (140). The wearable device (101) can acquire second image data (620-2) based on identifying at least a portion of the second light (606). The wearable device (101) can identify the intensity of the output second light (606) based on the second control data set (135-2). The wearable device (101) can identify brightness data corresponding to the intensity of the second light (606).

[0084] For example, if the intensity of the second light is a first value (e.g., 2) and the data for the pixels (610-1, 610-2, 610-3) is a second value (e.g., 3) or a third value (e.g., 2), the sensing data obtained from at least a portion of the second light reflected by the pixels (610-1, 610-2, 610-3) may be a fourth value (e.g., 6 or 4). As an example, the wearable device (101) may identify a value that is greater than or equal to a threshold value (e.g., 4). The wearable device (101) may obtain the second image data (620-2) based on identifying a portion of the second light (606) reflected from each of the pixels (610-1, 610-2, 610-3). However, the present invention is not limited thereto.

[0085] According to one embodiment, the wearable device (101) can change the order of a plurality of control data sets (135) corresponding to the image data (620) to encrypt the image data, thereby obtaining the image data (620) based on the changed order. For example, the wearable device (101) can change the order of the plurality of control data sets (135) to protect an image (e.g., an image corresponding to an eye) to be obtained by decrypting using the image data (620). The wearable device (101) can randomly change the order of the plurality of control data sets (135). For example, the wearable device (101) can change the order of the plurality of control data sets (135) based on the intensity of light corresponding to each of the plurality of control data sets (135). For example, the wearable device (101) can obtain image data (620) by randomizing at least some of the plurality of control data sets (135). The number of image data (620) can be the same as the number of control data sets used to emit light using the plurality of LEDs (160) among the plurality of control data sets (135).

[0086] For example, the wearable device (101) can use the image data (620) to identify brightness data matching an image (e.g., an image for identifying an eye). The brightness data may correspond to each of a plurality of control data sets (135). The brightness data may correspond to the intensity of light output from a plurality of LEDs (160) controlled by the plurality of control data sets (135). The wearable device (101) can obtain an image for identifying an eye by using the image data (620) and the brightness data matching the image data. For example, the wearable device (101) can use the brightness data matching the image data (620) to analyze the image data (620) obtained over time. To use the brightness data matching the image data (620), the wearable device (101) can identify the order of the plurality of control data sets (135). For example, if the order of multiple control data sets (135) cannot be identified, the wearable device (101) may not be able to analyze the image data (620) because it cannot obtain brightness data matching the image data (620).

[0087] Hereinafter, with reference to FIG. 7, an example of an operation of a wearable device (101) according to one embodiment to obtain an image representing an eye by combining brightness data and image data is described.

[0088] FIG. 7 illustrates an example of image data mapped to a plurality of control data sets by a wearable device according to one embodiment. The wearable device (101) of FIG. 7 may include the wearable device (101) of FIGS. 1 to 6.

[0089] Referring to FIG. 7, a wearable device (101) according to one embodiment can acquire image data (620) through a DVS camera (140) based on light output from a plurality of LEDs (e.g., a plurality of LEDs (160) of FIG. 1) using a plurality of control data sets (135). The wearable device (101) can identify a timing at which at least one of the plurality of control data sets (135) synchronized with the timing at which the image data (620) is acquired is used.

[0090] For example, the wearable device (101) can randomize a plurality of control data sets (135). The wearable device (101) can control a plurality of LEDs (160) using a first control data set (135-1) among the plurality of control data sets (135). The first control data set (135-1) can include data configured to cause at least one of the plurality of LEDs (160) to output light based on a specified brightness during a first time period. For example, using the first control data set (135-1), the wearable device (101) can control a first LED among the plurality of LEDs (160) to be deactivated during the first time period. Using the first control data set (135-1), the wearable device (101) can control the second LED to output light based on the first brightness value (e.g., 1) during the first time interval. Using the first control data set (135-1), the wearable device (101) can control the third LED to output light based on the second brightness value (e.g., 0.5) during the first time interval. However, the present invention is not limited thereto.

[0091] For example, the wearable device (101) can control a plurality of LEDs (160) using a first control data set (135-1) to output a first light toward an external object (e.g., a user's eye). The wearable device (101) can obtain first image data (620-1) representing at least a portion of the external object using a DVS camera (140). After controlling the plurality of LEDs (160) using the first control data set (135-1) during a first time interval, the wearable device (101) can control the plurality of LEDs (160) using a second control data set (135-2) during a second time interval. The wearable device (101) can emit a second light through the plurality of LEDs (160) using the second control data set (135-2). The wearable device (101) can obtain second image data (620-2) based on the identification of second light reflected by an external object through the DVS camera (140).

[0092] For example, the intensity of the first light output from the plurality of LEDs (160) controlled using the first control data set (135-1) and the intensity of the second light output from the plurality of LEDs (160) controlled using the second control data set (135-2) may be different. The wearable device (101) may identify the first brightness data (630-1) included in the first control data set (135-1) corresponding to the first image data (620-1). The wearable device (101) may identify the second brightness data (630-2) included in the second control data set (135-2) corresponding to the second image data (620-2). The brightness data (630-1, 630-2) may be referred to as brightness parameters, brightness values, and / or image brightness information.

[0093] For example, the wearable device (101) can obtain an image by using a combination of image data and brightness data matching the image data using mathematical expression 1.

[0094]

[0095]

[0096]

[0097]

[0098]

[0099]

[0100] For example, the wearable device (101) can recognize feature information included in the first image (740) based on acquiring the first image (740). The wearable device (101) can acquire feature information representing the user's eyes based on recognizing the feature information. The wearable device (101) can identify the position of the eyes and / or the shape of the eyes (or the iris pattern) based on acquiring the feature information representing the user's eyes.

[0101] For example, the wearable device (101) may execute a function (e.g., eye tracking) to identify the user's gaze corresponding to the eye position based on identifying the eye position.

[0102] For example, the wearable device (101) can execute a function for identifying a user based on identifying the shape of the eyes. Based on the execution of the function, the wearable device (101) can authenticate the user.

[0103] According to one embodiment, a wearable device (101) can acquire a first image (740) independently by matching brightness data acquired based on the order of a plurality of control data sets (135) with image data (620), and can acquire a second image (750) independently by matching brightness data acquired independently of the order of a plurality of control data sets (135) with image data (620). For example, brightness data acquired independently of the order of a plurality of control data sets (135) may not be matched with the image data (620).

[0104] For example, the wearable device (101) can change (or restore) the image data (620) into a second image (750) using a first combination of the first image data (620-1) and the second brightness data (630-2) (e.g., brightness data corresponding to the second control data set (135-2)) and a second combination of the second image data (620-2) and the second brightness data (630-1). The wearable device (101) can obtain the second image (750) in which the feature information included in the first image (740) is lost. The wearable device (101) may not be able to identify the user's eyes using the second image (750).

[0105] As described above, the wearable device (101) according to one embodiment can randomly extract some of the plurality of control data sets (135) before capturing the user's eyes. The wearable device (101) can control the plurality of LEDs (160) using the randomly extracted some of the plurality of control data sets (135). The wearable device (101) can control the plurality of LEDs (160) to obtain a first image (740) by combining the image data (620) acquired through the DVS camera (140) with the brightness data (e.g., the first brightness data (630-1) or the second brightness data (630-2)) corresponding to the randomly extracted some of the plurality of control data sets (135). The wearable device (101) may not be able to interpret the image data (620) if it matches other brightness data that is distinct from the brightness data corresponding to a randomly extracted portion with the image data (620). The wearable device (101) may have the effect of encrypting the image data (620) based on randomly extracting a portion from among a plurality of control data sets (135).

[0106] FIG. 8 illustrates an example of a flowchart illustrating the operation of a wearable device according to one embodiment. The wearable device of FIG. 8 may include the wearable device (101) of FIGS. 1 to 7. At least one of the operations of FIG. 8 may be performed by the wearable device (101) of FIG. 1. At least one of the operations of FIG. 8 may be controlled by the processor (120) of FIG. 1. Each of the operations of FIG. 8 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. At least one of the operations of FIG. 8 may be related to at least one of the operations of FIG. 5.

[0107] Referring to FIG. 8, in operation 810, a processor according to an embodiment may change first image data and second image data into images using first brightness data corresponding to a first light and second brightness data corresponding to a second light. Operation 810 may be related to operation 540 of FIG. 5. For example, the processor may change the order of the plurality of control data sets for controlling the plurality of LEDs (e.g., the plurality of LEDs (160) of FIG. 1) by randomly extracting the plurality of control data sets (135). Based on the changed order, the processor may control the plurality of LEDs using the plurality of control data sets over time to emit light toward an external object (e.g., a user's eye). The processor may acquire image data through a DVS camera based on the light emitted from the plurality of LEDs. The processor may identify the control data set used at the timing of acquiring the image data. The processor can identify brightness data included in the control data set based on the control data set identification. The brightness data can be matched to image data. The processor can acquire an image by matching the brightness data with the image data.

[0108] Referring to FIG. 8, at operation 820, a processor according to one embodiment can determine whether an eye has been identified using an image. The processor can identify feature information corresponding to an eye by extracting feature information from the image. The processor can determine whether feature information corresponding to the eye identified using calibration is included in the image.

[0109] Referring to FIG. 8, at operation 830, a processor according to one embodiment may execute an eye-related function after identifying an eye using an image (operation 820 - example). For example, the processor may track the user's gaze based on identifying the position of the eye. The processor may authenticate a user having the identified eye shape based on identifying the eye shape (or iris pattern).

[0110] Referring to FIG. 8, in operation 840, the processor according to one embodiment may, in a state distinct from the state in which an eye is identified using an image (operation 820-No), obtain third image data from the DVS camera based on third light to be emitted from at least one of the plurality of LEDs using a third control data set among the plurality of control data sets. For example, if the processor identifies a left eye using an image, the processor may refrain from using a control data set for controlling the plurality of LEDs corresponding to the left eye.

[0111] For example, if the processor fails to identify the right eye using the image, the processor may identify a control data set for controlling a plurality of LEDs corresponding to the right eye. The processor may use the control data set among the plurality of control data sets to output a third light from at least one of the plurality of LEDs corresponding to the right eye to identify the right eye. The processor may temporarily stop emitting light using another LED among the plurality of LEDs corresponding to the left eye and output the third light from at least one of the plurality of LEDs corresponding to the right eye. However, the present invention is not limited thereto. The processor may obtain third image data from the DVS camera based on the third light. The processor may obtain an image for identifying the right eye by combining the third image data with brightness data corresponding to the third light. The processor may perform an eye-related function based on having identified the left eye and the right eye.

[0112] In one embodiment, a processor may include a plurality of LEDs and / or a DVS camera positioned toward the exterior of a wearable device. The processor may output light through the plurality of LEDs using a plurality of control data sets toward a body part of a user (e.g., a hand). The processor may receive the reflected light using the DVS camera when the output light is reflected by the body part. The processor may obtain image data representing the body part of the user using the DVS camera. The processor may identify movement of the body part of the user by combining the image data and brightness data corresponding to the light. However, the present invention is not limited thereto.

[0113] FIG. 9 is a block diagram of an electronic device (901) within a network environment (900) according to various embodiments. Referring to FIG. 9 , in the network environment (900), the electronic device (901) may communicate with the electronic device (902) via a first network (998) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (904) or the server (908) via a second network (999) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (901) may communicate with the electronic device (904) via the server (908). According to one embodiment, the electronic device (901) may include a processor (920), a memory (930), an input module (950), an audio output module (955), a display module (960), an audio module (970), a sensor module (976), an interface (977), a connection terminal (978), a haptic module (979), a camera module (980), a power management module (988), a battery (989), a communication module (990), a subscriber identification module (996), or an antenna module (997). In some embodiments, the electronic device (901) may omit at least one of these components (e.g., the connection terminal (978)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (976), the camera module (980), or the antenna module (997)) may be integrated into one component (e.g., the display module (960)).

[0114] The processor (920) may, for example, execute software (e.g., a program (940)) to control at least one other component (e.g., a hardware or software component) of the electronic device (901) connected to the processor (920) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (920) may store commands or data received from other components (e.g., a sensor module (976) or a communication module (990)) in a volatile memory (932), process the commands or data stored in the volatile memory (932), and store result data in a non-volatile memory (934). According to one embodiment, the processor (920) may include a main processor (921) (e.g., a central processing unit or an application processor) or an auxiliary processor (923) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (921). For example, when the electronic device (901) includes the main processor (921) and the auxiliary processor (923), the auxiliary processor (923) may be configured to use less power than the main processor (921) or to be specialized for a given function. The auxiliary processor (923) may be implemented separately from the main processor (921) or as a part thereof.

[0115] The auxiliary processor (923) may control at least a portion of functions or states associated with at least one component (e.g., a display module (960), a sensor module (976), or a communication module (990)) of the electronic device (901), for example, on behalf of the main processor (921) while the main processor (921) is in an inactive (e.g., sleep) state, or together with the main processor (921) while the main processor (921) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (923) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (980) or a communication module (990)). In one embodiment, the auxiliary processor (923) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (901) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (908)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0116] The memory (930) can store various data used by at least one component (e.g., the processor (920) or the sensor module (976)) of the electronic device (901). The data can include, for example, software (e.g., the program (940)) and input data or output data for commands related thereto. The memory (930) can include a volatile memory (932) or a non-volatile memory (934).

[0117] The program (940) may be stored as software in the memory (930) and may include, for example, an operating system (942), middleware (944), or an application (946).

[0118] The input module (950) can receive commands or data to be used in a component of the electronic device (901) (e.g., a processor (920)) from an external source (e.g., a user) of the electronic device (901). The input module (950) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0119] The audio output module (955) can output audio signals to the outside of the electronic device (901). The audio output module (955) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0120] The display module (960) can visually provide information to an external party (e.g., a user) of the electronic device (901). The display module (960) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. In one embodiment, the display module (960) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0121] The audio module (970) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (970) can acquire sound through the input module (950), output sound through the sound output module (955), or an external electronic device (e.g., electronic device (902)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (901).

[0122] The sensor module (976) can detect the operating status (e.g., power or temperature) of the electronic device (901) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (976) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0123] The interface (977) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (901) with an external electronic device (e.g., the electronic device (902)). In one embodiment, the interface (977) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0124] The connection terminal (978) may include a connector through which the electronic device (901) may be physically connected to an external electronic device (e.g., the electronic device (902)). In one embodiment, the connection terminal (978) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0125] The haptic module (979) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (979) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0126] The camera module (980) can capture still images and videos. According to one embodiment, the camera module (980) may include one or more lenses, image sensors, image signal processors, or flashes.

[0127] The power management module (988) can manage the power supplied to the electronic device (901). According to one embodiment, the power management module (988) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0128] A battery (989) may power at least one component of the electronic device (901). In one embodiment, the battery (989) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0129] The communication module (990) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (901) and an external electronic device (e.g., electronic device (902), electronic device (904), or server (908)), and the performance of communication through the established communication channel. The communication module (990) may operate independently from the processor (920) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (990) may include a wireless communication module (992) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (994) (e.g., a local area network (LAN) communication module, or a power line communication module). Any of these communication modules may communicate with an external electronic device (904) via a first network (998) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (999) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (992) may use subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (996) to verify or authenticate the electronic device (901) within a communication network such as the first network (998) or the second network (999).

[0130] The wireless communication module (992) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency communications (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (992) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (992) may support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (992) may support various requirements specified in the electronic device (901), an external electronic device (e.g., the electronic device (904)), or a network system (e.g., the second network (999)). According to one embodiment, the wireless communication module (992) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0131] The antenna module (997) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (997) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (997) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (998) or the second network (999), may be selected from the plurality of antennas, for example, by the communication module (990). A signal or power may be transmitted or received between the communication module (990) and the external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (997).

[0132] According to various embodiments, the antenna module (997) may form a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0133] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0134] According to one embodiment, commands or data may be transmitted or received between the electronic device (901) and an external electronic device (904) via a server (908) connected to a second network (999). Each of the external electronic devices (902, or 1304) may be the same or a different type of device as the electronic device (901). According to one embodiment, all or part of the operations executed in the electronic device (901) may be executed in one or more of the external electronic devices (902, 1304, or 1308). For example, when the electronic device (901) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (901) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (901). The electronic device (901) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (901) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (904) may include an Internet of Things (IoT) device. The server (908) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (904) or the server (908) may be included in the second network (999).The electronic device (901) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0135] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments of this document are not limited to the aforementioned devices.

[0136] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0137] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0138] Various embodiments of the present document may be implemented as software (e.g., a program (940)) including one or more instructions stored in a storage medium (e.g., an internal memory (936) or an external memory (938)) readable by a machine (e.g., an electronic device (901)). For example, a processor (e.g., a processor (920)) of the machine (e.g., an electronic device (901)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0139] According to one embodiment, the method according to various embodiments disclosed in this document may be provided as included in a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0140] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0141] The electronic device (101) of FIG. 9 may include the wearable device (101) of FIG. 1.

[0142] According to one embodiment, a wearable device can acquire image data via a DVS camera based on light output from a plurality of LEDs. The wearable device can acquire an image for identifying an eye by combining a brightness value based on the light with the image data. A method for the wearable device to combine the brightness value and the image data may be required.

[0143] In the wearable device (101) according to one embodiment as described above, the wearable device may include a plurality of light emitting diodes (LEDs) (160), a dynamic vision sensor (DVS) camera (140), a memory (130) storing instructions and including one or more storage media, and at least one processor (120) including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to acquire first image data (620-1) from the DVS camera based on first light (605) emitted from the plurality of LEDs by using a first control data set (135-1) among a plurality of control data sets (135) for controlling the plurality of LEDs. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to acquire second image data (620-2) from the DVS camera based on second light (606) emitted from the plurality of LEDs using a second control data set (135-2) of the plurality of control data sets. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to convert the first image data and the second image data into an image (740) using first brightness data (630-1) corresponding to the first light and second brightness data (630-2) corresponding to the second light. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to perform a function related to the eye based on identifying an eye (415-1, 415-2) of a user wearing the wearable device using the image.

[0144] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to control the plurality of LEDs using each of the changed plurality of control data sets based on changing the order of the plurality of control data sets.

[0145] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to convert a combination of the first brightness data and the first image data and another combination of the second brightness data and the second image data into the image.

[0146] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to execute the function for identifying a gaze of the user corresponding to the position of the eye based on identifying the position of the eye using the image.

[0147] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to perform the function for identifying the user based on identifying the shape of the eye (416) using the image.

[0148] For example, the plurality of control data sets may include information indicating the intensity of light emitted by each of the plurality of LEDs to identify the eye of the user wearing the wearable device.

[0149] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to obtain another image (750) distinct from the image using the first image data matched to the second brightness data and the second image data matched to the first brightness data. The instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to refrain from executing the function associated with the eye using the other image.

[0150] For example, the instructions, when individually or collectively executed by the at least one processor, may cause the electronic device to obtain third image data from the DVS camera based on third light emitted from at least one of the plurality of LEDs, using a third data set of the plurality of control data sets, in a state distinct from a state in which the eye has been identified using the image.

[0151] In a method performed by a wearable device (101) according to an embodiment as described above, the method may include an operation of obtaining first image data (620-1) from a DVS camera (140) based on first light (605) emitted from the plurality of LEDs (160) by using a first control data set (135-1) among a plurality of control data sets (135) for controlling the plurality of LEDs. The method may include an operation of obtaining second image data (620-2) from the DVS camera based on second light (606) emitted from the plurality of LEDs by using a second control data set (135-2) among the plurality of control data sets. The method may include an operation of changing the first image data and the second image data into an image (740) using first brightness data (630-1) corresponding to the first light and second brightness data (630-2) corresponding to the second light. The method may include an operation of executing a function related to the eyes based on identifying the eyes (415-1, 415-2) of a user wearing the wearable device using the images.

[0152] For example, the method may include an operation of controlling the plurality of LEDs using each of the changed plurality of control data sets based on changing the order of the plurality of control data sets.

[0153] For example, the method may include an operation of changing one combination of the first brightness data and the first image data and another combination of the second brightness data and the second image data into the image.

[0154] For example, the method may include an action of executing the function for identifying a gaze of the user corresponding to the position of the eye based on identifying the position of the eye using the image.

[0155] For example, the method may include an action of executing the function for identifying the user based on identifying the shape of the eye (416) using the image.

[0156] For example, the plurality of control data sets may include information indicating the intensity of light emitted by each of the plurality of LEDs to identify the eye of the user wearing the wearable device.

[0157] For example, the method may include an operation of obtaining another image (750) that is distinct from the image by using the first image data matched to the second brightness data and the second image data matched to the first brightness data. The method may include an operation of refraining from executing the function related to the eye by using the other image.

[0158] In a computer-readable storage medium storing one or more programs according to one embodiment as described above, the one or more programs may be configured to include instructions that, when executed by a processor (120) of a wearable device (101), cause the wearable device to obtain first image data (620-1) from a DVS camera (140) based on first light (605) emitted from a plurality of LEDs (160) using a first control data set (135-1) among a plurality of control data sets (135) for controlling the plurality of LEDs. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to obtain second image data (620-2) from the DVS camera based on second light (606) emitted from the plurality of LEDs using a second control data set (135-2) of the plurality of control data sets. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to convert the first image data and the second image data into an image (740) using first brightness data (630-1) corresponding to the first light and second brightness data (630-2) corresponding to the second light. The one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to execute a function related to the eye based on identifying an eye (415-1, 415-2) of a user wearing the wearable device using the image.

[0159] For example, the one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to control the plurality of LEDs using each of the plurality of changed control data sets based on changing the order of the plurality of control data sets.

[0160] For example, the one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to change one combination of the first brightness data and the first image data and another combination of the second brightness data and the second image data into the image.

[0161] For example, the one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to execute the function for identifying a gaze of the user corresponding to the position of the eye based on identifying the position of the eye using the image.

[0162] For example, the one or more programs may be configured to include instructions that, when executed by the processor of the wearable device, cause the wearable device to execute the function for identifying the user based on identifying the shape of the eye (416) using the image.

[0163] The devices described above may be implemented as hardware components, software components, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments may be implemented using one or more general-purpose computers or special-purpose computers, such as a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing instructions and responding to them. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing device is sometimes described as being used alone; however, one of ordinary skill in the art will recognize that the processing device may include multiple processing elements and / or multiple types of processing elements. For example, a processing unit may include multiple processors, or a processor and a controller. Other processing configurations, such as parallel processors, are also possible.

[0164] Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing device to perform a desired operation or may independently or collectively command the processing device. The software and / or data may be embodied in any type of machine, component, physical device, computer storage medium, or device for interpretation by the processing device or for providing instructions or data to the processing device. The software may also be distributed over networked computer systems and stored or executed in a distributed manner. The software and data may be stored on one or more computer-readable recording media.

[0165] The method according to the embodiment may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. In this case, the medium may be one that continuously stores a computer-executable program or one that temporarily stores it for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or multiple hardware combinations, and is not limited to a medium directly connected to a computer system, but may also be distributed over a network. Examples of the medium may include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and those configured to store program commands, including ROM, RAM, and flash memory. In addition, examples of other media may include recording media or storage media managed by app stores that distribute applications, sites that supply or distribute various software, servers, etc.

[0166] Although the embodiments described above have been described by way of limited examples and drawings, those skilled in the art will appreciate that various modifications and variations can be made based on the above teachings. For example, appropriate results can still be achieved even if the described techniques are performed in a different order than described, and / or components of the described systems, structures, devices, circuits, etc. are combined or combined in a different manner than described, or are replaced or substituted with other components or equivalents.

[0167] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims described below.

Claims

1. In a wearable device (101), A plurality of light emitting diodes (LEDs) (160); DVS (dynamic vision sensor) camera (140); At least one processor (120) comprising a processing circuit; and A memory (130) storing instructions and including one or more storage media, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Using a first control data set (135-1) among a plurality of control data sets (135) for controlling the plurality of LEDs, first image data (620-1) is acquired from the DVS camera based on the first light (605) emitted from the plurality of LEDs; Using the second control data set (135-2) among the plurality of control data sets, second image data (620-2) is acquired from the DVS camera based on the second light (606) emitted from the plurality of LEDs; Using the first brightness data (630-1) corresponding to the first light and the second brightness data (630-2) corresponding to the second light, the first image data and the second image data are changed into an image (740); and Using the above image, based on identifying the eye (415-1; 415-2) of the user wearing the wearable device, causing a function related to the eye to be executed. Wearable devices.

2. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Based on changing the order of the plurality of control data sets, causing the plurality of LEDs to be controlled using each of the changed plurality of control data sets. Wearable devices.

3. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: causing a combination of the first brightness data and the first image data and another combination of the second brightness data and the second image data to be changed into the image; Wearable devices.

4. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Using said image, based on identifying the position of said eye, causing said function to be executed to identify the gaze of said user corresponding to said position of said eye. Wearable devices.

5. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Using the above image, causing the function to be executed to identify the user based on identifying the shape of the eye (416). Wearable devices.

6. In paragraph 1, The above plurality of control data sets include information indicating the intensity of light emitted by each of the plurality of LEDs to identify the eye of the user wearing the wearable device. Wearable devices.

7. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Obtaining another image (750) that is distinct from the image by using the first image data matched to the second brightness data and the second image data matched to the first brightness data, and Using said other image, causing the execution of said function related to said eye to be avoided, Wearable devices.

8. In paragraph 1, The above instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: Using the image, in a state different from the state in which the eye is identified, causing a third image data to be acquired from the DVS camera based on a third light emitted from at least one of the plurality of LEDs, using a third data set among the plurality of control data sets. Wearable devices.

9. In a method performed by a wearable device (101), the method comprises: An operation of obtaining first image data (620-1) from a DVS camera (140) based on first light (605) emitted from the plurality of LEDs by using a first control data set (135-1) among a plurality of control data sets (135) for controlling the plurality of LEDs (160); An operation of obtaining second image data (620-2) from the DVS camera based on second light (606) emitted from the plurality of LEDs by using a second control data set (135-2) among the plurality of control data sets; An operation of changing the first image data and the second image data into an image (740) by using the first brightness data (630-1) corresponding to the first light and the second brightness data (630-2) corresponding to the second light; and Using the above image, an operation of executing a function related to the eye is included based on identifying the eye (415-1; 415-2) of a user wearing the wearable device. method.

10. In paragraph 9, the method, An operation of controlling the plurality of LEDs using each of the changed plurality of control data sets based on changing the order of the plurality of control data sets, method.

11. In paragraph 9, the method, An operation of changing one combination of the first brightness data and the first image data and another combination of the second brightness data and the second image data into the image, method.

12. In paragraph 9, the method, An operation for executing the function for identifying the gaze of the user corresponding to the position of the eye based on identifying the position of the eye using the image, method.

13. In paragraph 9, the method, An operation for executing the function for identifying the user based on identifying the shape of the eye (416) using the image, method.

14. In paragraph 9, The above plurality of control data sets include information indicating the intensity of light emitted by each of the plurality of LEDs to identify the eye of the user wearing the wearable device. method.

15. In a computer-readable storage medium storing one or more programs, when the one or more programs are executed by the processor (120) of the wearable device (101), Using a first control data set (135-1) among a plurality of control data sets (135) for controlling a plurality of LEDs (160), first image data (620-1) is acquired from a DVS camera (140) based on first light (605) emitted from the plurality of LEDs; Using the second control data set (135-2) among the plurality of control data sets, second image data (620-2) is acquired from the DVS camera based on the second light (606) emitted from the plurality of LEDs; Using the first brightness data (630-1) corresponding to the first light and the second brightness data (630-2) corresponding to the second light, the first image data and the second image data are changed into an image (740); and Using the image, instructions are configured to cause the wearable device to execute a function related to the eye based on identifying the eye (415-1; 415-2) of the user wearing the wearable device. Computer readable storage medium.

Images