9 results about "Ear region" patented technology

Provided is an earphone. The earphone includes a core module and a hook-like structure connected to the core module. The core module has a connecting end connected to the hook-like structure and a free end not connected to the hook-like structure. The core module is located on a front side of an ear in a wearing state and the free end extends into a cavum conchae of the ear. At least a portion of the hook-like structure is located on a rear side of the ear in the wearing state, and the core module and the hook-like structure jointly clamp an ear region corresponding to the cavum conchae from a front side and a rear side of the ear region, which increases the resistance against the earphone falling off the ear, thereby improving the stability of the earphone during wear.

In an embodiment a protective helmet includes an outer shell configured for distributing impact forces, a strap arrangement comprising at least one front strap and at least one rear strap, respectively, configured for securing the protective helmet on a head of a wearer, wherein front fastening locations of the protective helmet, at which the at least one front strap is fastened, are arranged offset with respect to rear fastening locations of the protective helmet, at which the at least one rear strap is fastened, along a longitudinal direction of the protective helmet, and a deflecting arrangement configured for lying against the head when the at least one front strap is secured and the at least one rear strap is secured, wherein the deflecting arrangement is connected to the outer shell so as to be freely movable with respect thereto and is configured for engaging with the at least one rear strap such that the at least one rear strap is deflectable away from an ear region of the head.

The application discloses an ear image collecting device and an ear image recognition and analysis method thereof, and comprises a handle and a cover body, wherein the cover body is connected with the end of the handle; the cover body is in the shape of a horn and is sequentially provided with a light reflection part, a folding part and a light shielding part from inside to outside, and a standard color ring is arranged on the junction of the front end of the folding part and the light shielding part along the circumference. The beneficial effect is that the collecting device can realize light shielding and light supplement when collecting the ear image, ensure the stability of the light source, reduce the hue deviation, adjust the angle between the cover body and the ear through the folding and telescopic design of the folding part, obtain the image perpendicular to the ear, and make the ear image clear and complete. Through the ear image recognition and analysis method, the effective recognition, segmentation and feature point matching of the ear region image can be improved, 91 feature points of the ear image are obtained, the ear region is recognized and trained, and the recognition accuracy of the ear image acupoint positioning is higher than that of the traditional method.

The invention relates to the technical field of corn ear shape quantitative analysis, and discloses a corn ear shape quantitative analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining a plurality of target corn ear RGB images, screening out training sample images, extracting a pure ear region, and carrying out the geometric division and measurement of the segmented ear region, feature width and height parameters are obtained, a feature ear edge angle is calculated through trigonometric function operation, size parameters formed by the feature width and height parameters and the calculated ear edge angle serve as input features, and a machine learning grading model is constructed and trained in combination with manual grading labels; and utilizing the trained machine learning classification model to analyze the characteristic parameters of the to-be-classified corn ear image, and outputting a quantitative classification result. The objective, accurate and efficient corn ear shape testing method is established, conversion of DUS testing from experience judgment to digital testing is achieved, and the method has important theoretical value and practical significance for seed industry intellectual property protection.

The invention relates to the field of medical information processing, in particular to a coronary heart disease early warning model construction method and system based on auricular point multi-modal features. The method comprises the following steps: using ear region temperature features, ear region blood flow features, ear region morphological features and traditional risk factors as input of a machine learning model, using whether the patient suffers from the coronary heart disease as a label, training the machine learning model, and obtaining an early warning model of the coronary heart disease. The traditional Chinese medicine auricular point theory and the modern machine learning technology are combined for the first time, correlation between auricular point characteristics and coronary heart disease incidence is verified through prospective research, a scientific basis is provided for prevention of diseases, and application of combination of traditional Chinese medicine and western medicine in the field of cardiovascular disease prevention is promoted.

The application discloses a method for counting ears, and related devices, equipment and storage media, wherein the method comprises: obtaining an ear region of each candidate ear in an ear image and a probability density map of the ear image; performing prediction based on the ear region of the candidate ear to obtain the completeness of the candidate ear; selecting the candidate ear as a complete ear or a partial ear based on the completeness of the candidate ear; obtaining a first count value based on the total number of complete ears, and obtaining a second count value of the partial ear based on the completeness of the partial ear and a count coefficient of the partial ear; wherein the count coefficient of the partial ear is obtained based on a sub-density map corresponding to the ear region of the partial ear in the probability density map; and obtaining a total ear count value of the ear image based on the first count value and the second count value. The above scheme can improve the accuracy of ear counting.

This invention discloses a method for ear canal localization and tracking based on depth camera contour scanning. The method includes: first, acquiring a depth image of the side of the face using a depth camera, marking the ear region and ear canal position in the image, and converting the depth image into a 3D point cloud, which is then saved as a template point cloud; the user maintains the same position and posture as when the template was acquired to obtain the side target point cloud; then, registering the template point cloud with the target point cloud; finally, based on the ear position features and ear canal coordinates determined by the registration and localization, continuous tracking is performed using a tracking algorithm. This invention features a simple system structure and strong practicality, effectively tracking both translation and rotation of the target head in three-dimensional space while avoiding privacy leaks.

An in-vehicle speaker system provided by the present invention comprises: a first sound zone located in a near-ear region on the left side of an occupant; a second sound zone located in a near-ear region on the right side of the occupant; a third sound zone located on the side of the second sound zone away from the first sound zone; and a fourth sound zone located on the side of the third sound zone away from the second sound zone. The first sound zone is provided with a first speaker array comprising M speakers, the second sound zone is provided with a second speaker array comprising N speakers, and N is a natural number greater than M. The in-vehicle speaker system provided by the present invention provides a high degree of acoustic isolation for a seat area, so that the listening experience of the occupant is good.

The present application relates to the technical field of quantitative analysis of corn ear shape, and discloses a corn ear shape quantitative analysis method, device, equipment and storage medium. The method comprises the following steps: acquiring a plurality of target corn ear RGB images, screening training sample images and extracting pure ear regions, performing geometric division and measurement on the segmented ear regions, acquiring characteristic width and height parameters, calculating a characteristic ear rim angle through trigonometric function operation, taking the size parameters formed by the characteristic width and height parameters and the calculated ear rim angle as input features, combining artificial grading labels to construct and train a machine learning grading model, analyzing the feature parameters of the corn ear image to be graded by using the trained machine learning classification model, and outputting a quantitative grading result. The method establishes an objective, accurate and efficient corn ear shape testing method, realizes the transition of DUS testing from experience judgment to digital testing, and has important theoretical value and practical significance for seed industry intellectual property protection.