Abstract: A system and method of predicting the fitting of a head mounted wearable device for a user is provided. The system detects fixed facial landmarks in image data captured by a computing device of the user. Measurements associated with the detected fixed facial landmarks may be processed by one or more machine learning models and associated algorithm(s) to predict the probability of fitting of a head mounted wearable device on the head of the user.

Abstract: A method of tracking an eye of a user includes generating an infrared light, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye over an eye tracking period. A plurality of glints is identified from the reflections of the infrared light detected. A glint center position of each glint in a glint space is determined and transformed to a gaze position in a display space. At least once during the eye tracking period, an image of the eye is reconstructed from a portion of the reflections of the infrared light detected. A pupil is detected from the image, and a pupil center position is determined. A glint-pupil vector is determined from the pupil center position and the glint center position of at least one glint corresponding in space to the pupil. The glint space is recalibrated based on the glint-pupil vector.

Abstract: A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. An image of a fitting frame worn by a user of the computing device is captured by the user, through an application running on the computing device. One or more keypoints and/or features and/or landmarks are detected in the image including the fitting frame. A three-dimensional pose of the fitting frame is determined based on the detected keypoints and/or features and/or landmarks, and configuration information associated with the fitting frame. The display device of the head mounted wearable computing device can then be configured based on the three-dimensional pose of the fitting frame as captured in the image.

Abstract: A computer-implemented method includes receiving a two-dimensional (2-D) side view face image of a person, identifying a bounded portion or area of the 2-D side view face image of the person as an ear region-of-interest (ROI) area showing at least a portion of an ear of the person, and processing the identified ear ROI area of the 2-D side view face image, pixel-by-pixel, through a trained fully convolutional neural network model (FCNN model) to predict a 2-D ear saddle point (ESP) location for the ear shown in the ear ROI area. The FCNN model has an image segmentation architecture.

Abstract: A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. An image of a fitting frame worn by a user of the computing device is captured by the user, through an application running on the computing device. One or more visual markers each including a distinct pattern are detected in the image including the fitting frame. A model of the fitting frame, and configuration information associated with the fitting frame, are determined based on the detection of the pattern. A three-dimensional pose of the fitting frame is determined based on the detected visual marker(s) and patterns, and the configuration information associated with the fitting frame. The display device of the head mounted wearable computing device can then be configured based on the three-dimensional pose of the fitting frame as captured in the image.

Abstract: An ear saddle point of a subject's ear is determined to produce specifications to fit a wearable apparatus to a subject's head. A boundary of the subject's ear in a profile image is determined using a first model. A map of the subject's ear is generated indicating probable locations of a two-dimensional ear saddle point. A most probable location of the two-dimensional ear saddle point is determined based on the probability map. The two-dimensional ear saddle point is projected onto a three-dimensional mesh surface representing the subject's head. A maximum depth of the three-dimensional mesh surface is determined in a defined region around the projected two-dimensional ear saddle point. The ear saddle point is computed based on the projected two-dimensional ear saddle point and the determined maximum depth. Specifications of a wearable apparatus are generated to fit the apparatus to the subject's head based on the computed ear saddle point.

Abstract: A method of tracking an eye of a user on a wearable heads-up display (WHUD) worn on the head of the user includes generating infrared light over an eye tracking period, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye. A motion parameter that is sensitive to motion of the WHUD is measured. Eye tracking is performed in a first mode that is based on glint for values of the motion parameter that fall within a first range of motion parameter values for which an error in measurement of glint position. Eye tracking is performed in a second mode that is based on glint-pupil vector for values of the motion parameter that fall within a second range of motion parameter values for which an error in measurement of glint position exceeds the error threshold. A head-mounted apparatus with eye tracking is disclosed.

Abstract: A method of tracking a gaze position of an eye in a target space in a field of view of the eye over an eye tracking period includes performing a plurality of scans of the eye with infrared light within the eye tracking period. Each scan includes generating infrared light signals over a scan period and projecting the infrared light signals from a plurality of virtual light projectors to the eye to form a plurality of illumination areas on the eye. Reflections of the infrared light signals from the eye are detected for each scan. The gaze position of the eye in the target space is determined from the detected reflections of the infrared light signals for each scan.

Abstract: A method of tracking an eye of a user includes generating an infrared light, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye over an eye tracking period. A plurality of glints is identified from the reflections of the infrared light detected. A glint center position of each glint in a glint space is determined and transformed to a gaze position in a display space. At least once during the eye tracking period, an image of the eye is reconstructed from a portion of the reflections of the infrared light detected. A pupil is detected from the image, and a pupil center position is determined. A glint-pupil vector is determined from the pupil center position and the glint center position of at least one glint corresponding in space to the pupil. The glint space is recalibrated based on the glint-pupil vector.

Abstract: A method of tracking an eye of a user includes generating an infrared light, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye over an eye tracking period. A plurality of glints is identified from the reflections of the infrared light detected. A glint center position of each glint in a glint space is determined and transformed to a gaze position in a display space. At least once during the eye tracking period, an image of the eye is reconstructed from a portion of the reflections of the infrared light detected. A pupil is detected from the image, and a pupil center position is determined. A glint-pupil vector is determined from the pupil center position and the glint center position of at least one glint corresponding in space to the pupil. The glint space is recalibrated based on the glint-pupil vector.

Abstract: A method of tracking an eye of a user includes generating infrared light over an eye tracking period, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye. Shifts in a position of a wearable heads-up display (WHUD) worn on the head of the user are detected during at least a portion of the eye tracking period. Glints are identified from the detected reflections of the infrared light. A drift in a glint center position of an identified glint relative to a glint space is determined based on a detected shift in position of the WHUD corresponding in space to the identified glint. The glint center position is adjusted to compensate for the drift. The adjusted glint center position is transformed from the glint space to a gaze position in a display space in a field of view of the eye.

Abstract: An ear saddle point of a subject's ear is determined to produce specifications to fit a wearable apparatus to a subject's head. A boundary of the subject's ear in a profile image is determined using a first model. A map of the subject's ear is generated indicating probable locations of a two-dimensional ear saddle point. A most probable location of the two-dimensional ear saddle point is determined based on the probability map. The two-dimensional ear saddle point is projected onto a three-dimensional mesh surface representing the subject's head. A maximum depth of the three-dimensional mesh surface is determined in a defined region around the projected two-dimensional ear saddle point. The ear saddle point is computed based on the projected two-dimensional ear saddle point and the determined maximum depth. Specifications of a wearable apparatus are generated to fit the apparatus to the subject's head based on the computed ear saddle point.

Abstract: A method of tracking a gaze position of an eye in a target space in a field of view of the eye over an eye tracking period includes performing a plurality of scans of the eye with infrared light within the eye tracking period. Each scan includes generating infrared light signals over a scan period and projecting the infrared light signals from a plurality of virtual light projectors to the eye to form a plurality of illumination areas on the eye. Reflections of the infrared light signals from the eye are detected for each scan. The gaze position of the eye in the target space is determined from the detected reflections of the infrared light signals for each scan.

Abstract: Systems, methods and articles that provide dynamic calibration of eye tracking systems for wearable heads-up displays (WHUDs). The eye tracking system may determine a user's gaze location on a display of the WHUD utilizing a calibration point model that includes a plurality of calibration points. During regular use of the WHUD by the user, the calibration point model may be dynamically updated based on the user's interaction with user interface (UI) elements presented on the display. The UI elements may be specifically designed (e.g., shaped, positioned, displaced) to provide in-use and on-going dynamic calibration of the eye tracking system, which in at least some implementations may be unnoticeable to the user.

Abstract: Systems, devices, and methods that use elements of a scanning laser projector (“SLP”) to determine the gaze direction of a user of a wearable heads-up display (“WHUD”) are described. An infrared laser diode is added to an RGB SLP and an infrared photodetector is aligned to detect reflections of the infrared light from the eye. A scan mirror in the SLP sweeps through a range of orientations and the intensities of reflections of the infrared light are monitored by a processor to determine when a spectral reflection or “glint” is produced. The processor determines the orientation of the scan mirror that produced the glint and maps the scan mirror orientation to a region in the field of view of the eye of the user, such as a region in visible display content projected by the WHUD, to determine the gaze direction of the user.

Abstract: A method of tracking an eye of a user on a wearable heads-up display (WHUD) worn on the head of the user includes generating infrared light over an eye tracking period, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye. A motion parameter that is sensitive to motion of the WHUD is measured. Eye tracking is performed in a first mode that is based on glint for values of the motion parameter that fall within a first range of motion parameter values for which an error in measurement of glint position. Eye tracking is performed in a second mode that is based on glint-pupil vector for values of the motion parameter that fall within a second range of motion parameter values for which an error in measurement of glint position exceeds the error threshold. A head-mounted apparatus with eye tracking is disclosed.

Abstract: A method of tracking an eye of a user includes generating infrared light over an eye tracking period, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye. Shifts in a position of a wearable heads-up display (WHUD) worn on the head of the user are detected during at least a portion of the eye tracking period. Glints are identified from the detected reflections of the infrared light. A drift in a glint center position of an identified glint relative to a glint space is determined based on a detected shift in position of the WHUD corresponding in space to the identified glint. The glint center position is adjusted to compensate for the drift. The adjusted glint center position is transformed from the glint space to a gaze position in a display space in a field of view of the eye.

Abstract: A method of tracking an eye of a user includes generating an infrared light, scanning the infrared light over the eye, and detecting reflections of the infrared light from the eye over an eye tracking period. A plurality of glints is identified from the reflections of the infrared light detected. A glint center position of each glint in a glint space is determined and transformed to a gaze position in a display space. At least once during the eye tracking period, an image of the eye is reconstructed from a portion of the reflections of the infrared light detected. A pupil is detected from the image, and a pupil center position is determined. A glint-pupil vector is determined from the pupil center position and the glint center position of at least one glint corresponding in space to the pupil. The glint space is recalibrated based on the glint-pupil vector.

Abstract: Systems, devices, and methods that use elements of a scanning laser projector (“SLP”) to determine the gaze direction of a user of a wearable heads-up display (“WHUD”) are described. An infrared laser diode is added to an RGB SLP and an infrared photodetector is aligned to detect reflections of the infrared light from the eye. A scan mirror in the SLP sweeps through a range of orientations and the intensities of reflections of the infrared light are monitored by a processor to determine when a spectral reflection or “glint” is produced. The processor determines the orientation of the scan mirror that produced the glint and maps the scan mirror orientation to a region in the field of view of the eye of the user, such as a region in visible display content projected by the WHUD, to determine the gaze direction of the user.

Abstract: Systems, methods and articles that provide dynamic calibration of eye tracking systems for wearable heads-up displays (WHUDs). The eye tracking system may determine a user's gaze location on a display of the WHUD utilizing a calibration point model that includes a plurality of calibration points. During regular use of the WHUD by the user, the calibration point model may be dynamically updated based on the user's interaction with user interface (UI) elements presented on the display. The UI elements may be specifically designed (e.g., shaped, positioned, displaced) to provide in-use and on-going dynamic calibration of the eye tracking system, which in at least some implementations may be unnoticeable to the user.