Abstract: A system for generating an involuntary movement-based biomarker includes an imaging device configured to generate image data associated with a user, and a control system communicatively coupled to the imaging device. The control system is configured to identify, in a first image, a feature of the user, determine, in the first image, a first location parameter associated with the feature, and identify, in a second image, the feature of the user, and determine, in the second image, a second location parameter associated with the feature. The control system is further configured to calculate, based on a difference between the first location parameter and the second location parameter relative to a reference element present in the first and second images that is separate from the feature, a movement of the feature of the user, and generate, using the movement of the feature of the user, the movement-based biomarker.

Abstract: Disclosed are systems and methods for classifying body movements, including gestures and activities of daily living. This may include preprocessing data output from an accelerometer and gyroscope into features that are input into a movement classifier. In some examples, the disclosed technology may utilize user confirmed labels of movements to improve the accuracy of the movement classifiers. This may include providing a notification to a user when a movement classifier determines a particular movement is detected that requests confirmation of the movement label.

Abstract: The present disclosure is directed to systems and methods for measuring pupillary responses to visible light stimuli. An exemplary system provides a display and a camera on the same side of a device; the display provides a visible light stimulus to illuminate a user's face and cause a pupillary reflex. A visible light or infrared camera thereafter receives image data of the pupillary light reflex. In some examples, an ambient light sensor and infrared measurement systems allow for performing pupillary light reflex assessments in low lighting conditions.

Abstract: An exemplary system provides a display and a camera on the same side of a device. In some examples, instead of providing a stimulus with a flash of light, the system may utilize the user's eyelids to dark-adapt the pupil and mediate the stimulus using ambient light and/or the light from a display. Use of a front-facing display and front-facing camera further allows the disclosed system to control the ambient lighting conditions during image capture to ensure that additional pupillary stimulation does not occur while measuring the primary pupil response.

Abstract: The present disclosure is directed to systems and methods for measuring and analyzing pupillary psychosensory responses. An electronic device is configured to receive video data with at least two frames. The electronic device then locates one or more eye objects in the video data and determine pupil and iris sizes of the one or more eye objects. The electronic device determines the pupillary psychosensory responses of the one or more eye objects by tracking a ratio of pupil diameter to iris diameter throughout the video. Several metrics for the pupillary psychosensory responses can be determined (e.g., velocity of change of the ratio, peak to peak amplitude of the change in ratio over time, etc.). These metrics can be used as measures of an individual's cognitive ability and mental health in a single session or tracked throughout multiple sessions.

Abstract: The present disclosure is directed to systems and methods for measuring and analyzing pupillary psychosensory responses. An electronic device is configured to receive video data with at least two frames. The electronic device then locates one or more eye objects in the video data and determine pupil and iris sizes of the one or more eye objects. The electronic device determines the pupillary psychosensory responses of the one or more eye objects by tracking a ratio of pupil diameter to iris diameter throughout the video. Several metrics for the pupillary psychosensory responses can be determined (e.g., velocity of change of the ratio, peak to peak amplitude of the change in ratio over time, etc.). These metrics can be used as measures of an individual's cognitive ability and mental health in a single session or tracked throughout multiple sessions.

Abstract: Systems and methods are disclosed for measuring pupillary light reflex and detecting diseases based on eyes features and trends in pupillary and other eye related features. In one example, disclosed is a system for evaluating pupillary features includes a device, a camera, a distance detector, a memory, and a control system. Image data corresponding to an eye of a user is received from the camera. Distance data associated with the eye of the user is received from the distance detector. The distance data is processed to determine a distance of the at least one eye of the user from the distance detector. The image data and the distance are processed to determine at least one pupillary feature. Based on the at least one pupillary feature, a health status associated with the user is determined.

Abstract: Systems and methods are disclosed for measuring pupillary light reflex and detecting diseases based on eyes features and trends in pupillary and other eye related features. In one example, disclosed is a system for evaluating pupillary features includes a device, a camera, a distance detector, a memory, and a control system. Image data corresponding to an eye of a user is received from the camera. Distance data associated with the eye of the user is received from the distance detector. The distance data is processed to determine a distance of the at least one eye of the user from the distance detector. The image data and the distance are processed to determine at least one pupillary feature. Based on the at least one pupillary feature, a health status associated with the user is determined.

Abstract: The present disclosure concerns a method and system for remote photoplethysmography (rPPG). The system uses a camera to capture images of a subject and processes these images to monitor physiological parameters such as heart rate and respiratory rate. This is achieved by analyzing subtle changes in skin color that occur due to blood volume changes in the skin. The system allows for contactless, remote, video-based vital signs measurements.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to digitally measuring, or generating biomarkers. In some embodiments, a system for generating a movement-based biomarker comprises an imaging device configured to generate image data associated with a user, a control system communicatively coupled to the imaging device, the control system configured to identify, in the first image, a feature of the user, determine, in the first image, a first location parameter associated with the feature of the user, identify, in the second image, the feature of the user, determine, in the second image, a second location parameter associated with the feature of the user, calculate, based on the first location parameter associated with the feature of the user and the second location parameter associated with the feature of the user, movement of the feature of the user, and generate, using the movement of the feature of the user, the movement-based biomarker.

Abstract: The present disclosure is directed to systems and methods for measuring and analyzing pupillary psychosensory responses. An electronic device is configured to receive video data with at least two frames. The electronic device then locates one or more eye objects in the video data and determine pupil and iris sizes of the one or more eye objects. The electronic device determines the pupillary psychosensory responses of the one or more eye objects by tracking a ratio of pupil diameter to iris diameter throughout the video. Several metrics for the pupillary psychosensory responses can be determined (e.g., velocity of change of the ratio, peak to peak amplitude of the change in ratio over time, etc.). These metrics can be used as measures of an individual's cognitive ability and mental health in a single session or tracked throughout multiple sessions.

Abstract: An exemplary system provides a display and a camera on the same side of a device. In some examples, instead of providing a stimulus with a flash of light, the system may utilize the user's eyelids to dark-adapt the pupil and mediate the stimulus using ambient light and/or the light from a display. Use of a front-facing display and front-facing camera further allows the disclosed system to control the ambient lighting conditions during image capture to ensure that additional pupillary stimulation does not occur while measuring the primary pupil response.

Abstract: The present disclosure is directed to systems and methods for measuring pupillary responses to visible light stimuli. An exemplary system provides a display and a camera on the same side of a device; the display provides a visible light stimulus to illuminate a user's face and cause a pupillary reflex. A visible light or infrared camera thereafter receives image data of the pupillary light reflex. In some examples, an ambient light sensor and infrared measurement systems allow for performing pupillary light reflex assessments in low lighting conditions.

Abstract: Disclosed are systems and methods for classifying body movements, including gestures and activities of daily living. This may include preprocessing data output from an accelerometer and gyroscope into features that are input into a movement classifier. In some examples, the disclosed technology may utilize user confirmed labels of movements to improve the accuracy of the movement classifiers. This may include providing a notification to a user when a movement classifier determines a particular movement is detected that requests confirmation of the movement label.

Abstract: Systems and methods are disclosed for measuring pupillary light reflex and detecting diseases based on eyes features and trends in pupillary and other eye related features. In one example, disclosed is a system for evaluating pupillary features includes a device, a camera, a distance detector, a memory, and a control system. Image data corresponding to an eye of a user is received from the camera. Distance data associated with the eye of the user is received from the distance detector. The distance data is processed to determine a distance of the at least one eye of the user from the distance detector. The image data and the distance are processed to determine at least one pupillary feature. Based on the at least one pupillary feature, a health status associated with the user is determined.