Abstract:
In an example, the eyewear includes an optical element, electronic components, and a support structure configured to support the optical element and the electronic components. The support structure defines a region for receiving at least a portion of a head of a user. The eyewear also includes a biometric sensor coupled to the electronic components and supported by the support structure. The biometric sensor is attached to the support structure and positioned to detect, in the region, a biometric signal representative of a biometric of the user for processing by the electronic components.
Abstract:
In an example, the eyewear includes an optical element, electronic components, and a support structure configured to support the optical element and the electronic components. The support structure defines a region for receiving at least a portion of a head of a user. The eyewear also includes a biometric sensor coupled to the electronic components and supported by the support structure. The biometric sensor is attached to the support structure and positioned to detect, in the region, a biometric signal representative of a biometric of the user for processing by the electronic components.
Abstract:
A system comprises an eyewear device that includes a frame, a temple connected to a lateral side of the frame, a fingerprint sensor, and a sensing circuit. The fingerprint sensor includes an input surface to receive input of a finger skin surface. The sensing circuit is configured to track a pattern of fingerprint ridges of the finger skin surface on the input surface. Execution of programming by a processor configures the system to perform functions to track, via the sensing circuit, the pattern of fingerprint ridges of the finger skin surface on the input surface; generate a fingerprint image having the tracked pattern of fingerprint ridges; extract fingerprint features from the fingerprint image; and authorize the user to utilize the eyewear device based on the extracted fingerprint features.
Abstract:
System and method for generating multiprimary signals for use in display devices. A preferred embodiment comprises converting a color signal into an intermediate color space representation of the color signal, converting one of a plurality of multiprimary signals that is a representation of the color signal into an intermediate color space representation of the multiprimary signal, computing a quality measure of the intermediate color space representations of the color signal and the multiprimary signal, repeating the converting of a multiprimary signal and the computing for the remainder of the plurality of multiprimary signals, and selecting a multiprimary signal that optimizes the quality measure. The quality measure can consider requirements such as those minimizing a distance between the color signal and the multiprimary signal, an energy change as well as a phase change between the multiprimary signal and its neighbors, all leading to improved image quality.
Abstract:
An improved color processing method for use in imaging systems transforms the input color image components into an output set of color image components, at least one of which is transformed using a non-linear transformation function.
Abstract:
The present disclosure relates to systems and processes for automatically adjusting the white point of displayed images to account for changes in ambient light. In one embodiment, a display system includes a display device having sensors for recording the red (R), green (G) and blue (B) values for ambient light and measuring the intensity of such light. The sensors feed these values into a processor, which calculates R, G, B gain values to be applied to the video input R, G, B values. In this manner, the display device can account for changes in ambient light to adjust the perceived white point accordingly. Related methods for automatically adjusting the white point of a perceived image are also described.
Abstract:
FIG. 1 is a front perspective view of a smart wheelchair; FIG. 2 is a back perspective view thereof; FIG. 3 is a front view thereof; FIG. 4 is a back view thereof; FIG. 5 is a left-side view thereof; FIG. 6 is a right-side view thereof. FIG. 7 is a top view thereof; and, FIG. 8 is a bottom view thereof. The portions of the smart wheelchair shown in broken lines are environmental and forms no part of the claimed design.
Abstract:
FIG. 1 is a front perspective view of a smart wheelchair; FIG. 2 is a back perspective view thereof; FIG. 3 is a front view thereof; FIG. 4 is a back view thereof; FIG. 5 is a left-side view thereof; FIG. 6 is a right-side view thereof. FIG. 7 is a top view thereof; and, FIG. 8 is a bottom view thereof. The portions of the smart wheelchair shown in broken lines are environmental and forms no part of the claimed design.
Abstract:
A system comprises an eyewear device that includes a frame, a temple connected to a lateral side of the frame, a fingerprint sensor, and a sensing circuit. The fingerprint sensor includes an input surface to receive input of a finger skin surface. The sensing circuit is configured to track a pattern of fingerprint ridges of the finger skin surface on the input surface. Execution of programming by a processor configures the system to perform functions to track, via the sensing circuit, the pattern of fingerprint ridges of the finger skin surface on the input surface; generate a fingerprint image having the tracked pattern of fingerprint ridges; extract fingerprint features from the fingerprint image; and authorize the user to utilize the eyewear device based on the extracted fingerprint features.