15 results about "Eye blink" patented technology

This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for inducing eye blinks and aligning background tasks during eye blink durations in a headset device. In some aspects, a headset device may monitor or track eye blinks of a user of the headset device to determine whether to induce an eye blink. The headset device may determine whether the time elapsed since the last eye blink is greater than a time duration threshold. The headset device may modify display characteristics of the headset device to induce a subsequent eye blink if the time elapsed since the last eye blink is greater than the time duration threshold. In some aspects, the headset device may align the performance of one or more background tasks of the headset device during the blink durations of some or all of the eye blinks.

Devices and methods are provided that facilitate proximity or liveness detection of a user of a wearable device or a user interacting with a device based on ultrasonic information. In various embodiments, machine learning classifier models can be employed to generate classification predictions of a donned or a doffed state of a wearable device. Further embodiments can facilitate eye blink detection and / or classification based on machine learning classifier models of ultrasonic transceiver information, which can facilitate, among other things, user interface control of wearable devices and associated applications and systems.

The embodiment of the invention is applied to the technical field of terminals, and provides a blink detection method and electronic equipment. The electronic device collects a plurality of first image frames in a first time period. Afterwards, the electronic equipment counts the number of blinking times and the watching duration proportion in the first time period according to the multiple first image frames; wherein the watching duration proportion is used for representing the duration proportion condition of continuously watching the display screen by the user. And then, when the number of blinking times is smaller than the preset number of times and the watching time length proportion is larger than the preset time length proportion, the electronic equipment outputs blinking prompt information. Wherein the blink prompt information is used for reminding the user to blink. According to the invention, the user can be reminded to use eyes normally in time.

The embodiment of the invention is applied to the field of artificial intelligence, and provides an image processing method and electronic equipment, and the image processing method comprises the steps: obtaining a first image set, the first image set comprises multiple frames of first images, and each frame of first image records a human face; determining a face image and an eye image in each frame of the first image; determining posture information of the human face recorded in each human face image, and obtaining posture information corresponding to each human face image; through a blink detection model, based on set data corresponding to the first image set, a detection result corresponding to the first image set is determined, and the detection result corresponding to the first image set indicates whether blink actions are recorded in the multiple frames of first images or not; the set data corresponding to the first image set comprises the face image and the eye image of each frame of first image in the multiple frames of first images and the posture information corresponding to each face image. Based on the technical method provided by the invention, the accuracy of the detection result of the blink action can be improved.

The bus driver fatigue parameter compensation and double-track parallel detection method comprises the following steps: S1, labeling the eye blinking and yawning image data of the driver; S2, calculating the frame number of the bus driver closing eyes and opening mouth in the front face state by using a face key point algorithm, and comparing with the current data preprocessing method, and compensating according to the ratio; S3, double-track division of the fatigue state time sequence; after the image frame is detected according to the time sequence, the detection results of each area are output, and the complete time segment results are divided into double-track time sequence according to the vehicle speed and vehicle condition; S4, setting the double-track early warning mechanism of the fatigue state time sequence; the analysis data includes the eye blinking frame number, eye blinking frequency, mouth opening frame number and yawning frequency; the perclos eye The ratio of the number of closed eye frames to the total number of frames in a calculation unit can reflect the ratio of the eye closure duration to the detection time and the fatigue state of the driver.

An eye blink detection method and system are disclosed. The eye blink detection method comprises: photographing a face using a DVS camera to obtain a stream of DVS pixels; integrating DVS pixels of the stream of DVS pixels to form a plurality of DVS frames, wherein each of the plurality of DVS frames comprises a plurality of first and second color pixels, each being associated with one or more DVS pixels indicating a brightening event and each of the second color pixel being associated with one or more DVS pixels indicating a darkening event; and determining whether there exists an eye blink action in a DVS frame of the plurality of DVS frames, wherein the determining comprises: determining whether there exists a pattern in which a first and second color region are distributed one above the other in an eye region of the at least one DVS frame.

A method for assessing fatigue of a subject is provided. The method includes providing a device comprising a first electrode, a second electrode, and a circuit operably coupled to the first and second electrodes, the first and second electrodes configured to detect an electrical activity associated with an eye blink of a subject, and the circuit is configured to process a signal from the first electrode and the second electrode; determining a blink event based on the electrical activity; and assessing a degree of fatigue of the subject, based on the blink event. A headset including circuitry, such as a processor and a memory storing instructions to cause the headset to perform the above method are also provided. Also provided are systems and kits that include the devices. The methods, devices, headsets, systems and kits find use in a variety of different applications.

The application discloses a virtual anchor generation method and system based on neural radiation field and hidden attributes, and belongs to the technical field of artificial intelligence. The character image of the virtual anchor is determined according to needs, and is synthesized through a virtual anchor generation system. First, the three-dimensional face of the virtual anchor is synthesized through a face feature extraction and construction module. Then, the text information to be broadcast is synthesized into the voice of the virtual anchor through a voice synthesis module. The voice, lip movement, head movement and eye blinking features of the virtual anchor are extracted, and the video of the virtual anchor is synthesized through an improved NeRF network module combined with the features. Finally, the background of the synthesized video is replaced, and the final virtual anchor is synthesized. The virtual anchor generated by the application has high efficiency and stability and higher authenticity, and can be applied to virtual anchor production in different fields.

The application provides an eye blinking detection method and device based on a dynamic threshold, equipment and a storage medium. The eye blinking detection method based on the dynamic threshold comprises the following steps: S1, acquiring an electromyographic signal set; the electromyographic signal set comprises electromyographic signals of an eye region of a user corresponding to a current time window and / or at least one time window before the current time window; S2, extracting an eye blinking feature parameter of each electromyographic signal in the electromyographic signal set; S3, updating an eye blinking detection threshold based on the eye blinking feature parameter; and S4, performing eye blinking detection by using the updated eye blinking detection threshold. The method can dynamically update the eye blinking detection threshold based on the electromyographic signals of the user, realize adaptive adjustment of the threshold, and help improve the accuracy of detecting eye blinking of the user.

An electronic device capable of estimating a user's situation is to be provided. The electronic device includes a camera, a processing portion, and a display portion. The camera has a function of capturing an image of a user's eye and his / her periphery repeatedly to generate a plurality of pieces image data. The processing portion has a function of detecting, from the plurality of pieces of image data, a change over time in information including at least one of a frequency of eye blinks, a time taken for one blink, a distance between an upper eyelid and a lower eyelid, a sight direction, and an area of a pupil, a function of estimating a level of user's eye fatigue on the basis of the change over time in information, and a function of generating string information in accordance with the estimated level of user's eye fatigue. The display portion has a function of displaying string information.

A Near-Eye-Display (NED) device that translates combinations of user gaze direction and predetermined facial gestures into user input instructions. The NED device includes an eye tracking system and a display that renders computer-generated images within a user's field-of-view. The eye tracking system may continually track the user's eye movements with a high degree of accuracy to identify specific computer-generated images that a user is focused on. The eye tracking system may also identify various facial gestures such as, for example, left-eye blinks and / or right-eye blinks that are performed while the specific computer-generated images are being focused on. In this way, NED devices are enabled to identify combinations of user gaze direction and predetermined facial gestures and to translate these identified combinations into user input instructions that correspond to specific computer-generated images.

A method for identifying an occurrence of a concussion in a subject involves capturing eye blink raw data from at least one eye of the subject. The method next involves analyzing the eye blink raw data to generate at least a first subject specific eye blink metric and determining that a significant difference exists between the first subject specific eye blink metric and a predefined normal value. Next, the occurrence of the concussion in the subject may be identified, based on determining that the significant difference exists.

A computer controls a recording device within a contact lens environment. The computer receives a video signal from a Video Recording Device (VRD) within a contact lens environment proximate an eye of a user. The computer controls the VRD, and the video signal provides a substantially real-time representation of a monitored zone. The computer receives eye blinking metadata for the user and generates a blinking pattern using a machine learning model trained to determine eye blinking patterns from metadata. The computer establishes a recording routine characterized by periods of recording and pausing substantially synchronized to the blinking pattern. The computer directs, in response to receiving a start signal, the VRD to record the video signal in accordance, at least partially, with the recording routine. The computer identifies within the video signal, a recording modification trigger condition and initiating a corrective action in response thereto.

A real time system for monitoring and optimizing patient adherence to digital therapy. The system can measure at least one of head stability, eye stability, gaze direction, head pose, facial expression, reading related eye movements, eye alignment stability, eye blink rate, attentive engagement, general engagement, emotional state, total eye stability, yawning and distance between the user and the camera. This information is provided as input to computer vision algorithms to generate a multi-dimensional representation of user attention and engagement. The system can alert the caregiver or health care professional if the patient disengages from the treatment and if the patient is sitting at the wrong distance from the treatment device. The system includes a camera, a processor, computer vision algorithms executed by the processor (a GPU processor), at least one digital display device, a loud speaker and an optional internet connection that can enable communication with other electronic devices.

The invention belongs to the technical field of aviation, and particularly relates to a pilot emotion awakening method and system based on eye movement, and the method comprises the steps: collecting the real-time eye movement information of a pilot, and the eye movement information at least comprises the blinking time and the pupil diameter; acquiring current flight stage information and identity information of the pilot; based on the identity information and the current flight stage information, physiological limit values corresponding to the pilot are called, and the physiological limit values comprise a blink duration physiological limit value and a pupil diameter physiological limit value corresponding to the current flight stage; the real-time eye movement information is compared with the physiological limit value, and the current emotional state of the pilot is judged according to the comparison result; when it is judged that the pilot is in the negative emotional state, an alarm instruction is generated and executed to remind the pilot.