Disclosed is an electronic device including a display, a touch recognition sensor that recognizes a touch input on the display; a fingerprint recognition sensor that recognizes a fingerprint input on the display, and a processor coupled to the display, the touch recognition sensor, and the fingerprint recognition sensor, wherein the processor is configured to activate the touch recognition sensor, display at least one user interface that receives the fingerprint input on a fingerprint recognition area of the display, activate at least a portion of the fingerprint recognition sensor, and selectively deactivate a portion of the touch recognition sensor corresponding to the activated portion of the fingerprint recognition sensor.

Disclosed is an electronic device including a display, a touch recognition sensor that recognizes a touch input on the display; a fingerprint recognition sensor that recognizes a fingerprint input on the display, and a processor coupled to the display, the touch recognition sensor, and the fingerprint recognition sensor, wherein the processor is configured to activate the touch recognition sensor, display at least one user interface that receives the fingerprint input on a fingerprint recognition area of the display, activate at least a portion of the fingerprint recognition sensor, and selectively deactivate a portion of the touch recognition sensor corresponding to the activated portion of the fingerprint recognition sensor.

Operability of head-mounted display systems is enhanced by incorporating the following: a microphone which receives an utterance input by a person and outputs voice information; a character string generation unit which generates an uttered character string by converting the voice information into a character string; a specific utterance information storage unit which stores specific utterance information that associates at least one program to be started or stopped and/or at least one operating mode to be started or stopped, with specific utterances for starting or stopping each of the programs and/or operating modes; a specific utterance extraction unit which extracts a specific utterance included in the uttered character string with reference to the specific utterance information, and generates an extracted specific utterance signal indicating the extraction result; and a control unit which starts or stops a program or an operating mode with reference to the extracted specific utterance signal.

Disclosed herein are a method and apparatus for active identification based on gaze path analysis. The method may include extracting the face image of a user, extracting the gaze path of the user based on the face image, verifying the identity of the user based on the gaze path, and determining whether the face image is authentic.

Disclosed herein are a method and apparatus for active identification based on gaze path analysis. The method may include extracting the face image of a user, extracting the gaze path of the user based on the face image, verifying the identity of the user based on the gaze path, and determining whether the face image is authentic.

An electronic device for performing iris authentication, according to various examples of the present invention, can comprise: an image sensor for outputting an image obtained by photographing an eye part; a display for displaying an iris authentication screen image; and a control unit detecting at least a partial region from the captured eye part image so as to perform iris authentication by adjusting display characteristics of the display on the basis of a result obtained by comparing the size of the detected region with the size of a region required for the iris authentication, and various examples are possible.

An electronic device for performing iris authentication, according to various examples of the present invention, can comprise: an image sensor for outputting an image obtained by photographing an eye part; a display for displaying an iris authentication screen image; and a control unit detecting at least a partial region from the captured eye part image so as to perform iris authentication by adjusting display characteristics of the display on the basis of a result obtained by comparing the size of the detected region with the size of a region required for the iris authentication, and various examples are possible.

Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Data is received as part of an authentication procedure to identify a user. Such data characterizes a user-generated biometric sequence that is generated by the user interacting with at least one input device according to a desired biometric sequence. Thereafter, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences (e.g., historical user-generated biometric sequences according to the desired biometric sequence, etc.), the user is authenticated if an output of the at least one machine learning model is above a threshold. Data can be provided that characterizes the authenticating. Related apparatus, systems, techniques and articles are also described.

Systems and methods are provided for discerning the intent of a device wearer primarily based on movements of the eyes. The system may be included within unobtrusive headwear that performs eye tracking and controls screen display. The system may also utilize remote eye tracking camera(s), remote displays and/or other ancillary inputs. Screen layout is optimized to facilitate the formation and reliable detection of rapid eye signals. The detection of eye signals is based on tracking physiological movements of the eye that are under voluntary control by the device wearer. The detection of eye signals results in actions that are compatible with wearable computing and a wide range of display devices.