26 results about "Footprint" patented technology

Techniques are disclosed for authenticating a person based on the person's individual makeup application techniques (MATs) for secured access purposes. As combinations of MATs are highly individualized and may even be unique between different people, the disclosed techniques leverage MAT signatures as an authentication factor. For example, various makeup application technique footprints produced by corresponding MATs which were utilized to apply makeup to a subject person may be extracted from a captured image in which the subject person is depicted. One or more combinations of the extracted footprints may be compared to a MAT signature registry to thereby authorize the identity of the subject person or otherwise deny authorization of the subject person. MAT-based authentication may be combined with other authentication factors (such as biometric identification techniques) to provide increased levels of security.

1. The name of the design product: dinosaur seal. 2. The use of the design product: for artistic creation and handicraft activities, education enlightenment and learning, games and interaction, gifts and social interaction, life skills training and special scene applications. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

A device and method for the formation of customized footwear insoles and pads is provided. The system employs computers operatively engaged to scanning components to produce individual electronic footprints of a foot of a wearer. Software operating to the tasks of employing the digital data from one or a plurality of electronic footprints, correlating to scans of the feet of a footwear user, will customize an insole or pad for positioning in the footwear to more comfortably support the foot therein.

The invention relates to an assembly and method for determining a temperature distribution of a foot. The assembly comprises : a mat comprising a surface for receiving and conforming to at least part of a plantar surface of the foot, wherein a temperature distribution of the surface of the mat is locally changeable by the plantar surface, and a thermal imaging apparatus comprising a detector responsive to infrared radiation and configured for acquiring a thermal image of at least the surface of the mat. The method uses the thermal imaging apparatus of the assembly to acquire a thermal image of a thermal footprint left on the surface of the mat by at least part of a plantar surface of the foot. The thermal image provides a map or image that substantially corresponds to the temperature distribution of at least part of the plantar surface of the foot.

The invention discloses a field shoeprint barefoot footprint generation method and device and computer equipment. The method comprises the following steps: acquiring a shoeprint image; inputting the shoeprint image into a footprint generation model to carry out target barefoot footprint generation and authenticity generation so as to obtain a generation result; wherein the footprint generation model extracts local and global features of shoeprints, roughly extracts a barefoot footprint area, and realizes target barefoot footprint generation by means of a generator and discriminator structure; and outputting the generation result. By implementing the method, the limitation that the prior art is difficult to be directly applied to the conversion between the field shoeprint footprint and the barefoot footprint with large difference can be overcome, and the accuracy and practicability of footprint recognition are improved.

The present invention discloses a personalized exercise prescription recommendation system based on big data analysis. User information is used to find an exercise method that suits the user. Because under gravity, pressure is downward, and the human body is supported by the feet. This pressure is related to the body's posture. Therefore, during training, multiple training segmented images can be obtained through historical user movement footprint images. A relationship is thus established between the segmented images and the pressure exerted by the user's posture on the footprints. Therefore, the multiple segmented images can not only represent the user's movement posture, but also the force applied to each body part when the user makes the gesture. This allows the user to determine whether the user's movements are standard. This allows the user to recommend an exercise prescription that enables the user to make movement postures more smoothly and accurately apply force to each body part.

The utility model provides an auxiliary shaping suite of a thermoplastic insole. The auxiliary shaping suite comprises a shape stabilizing pad, a foot arch gasket, an upper collecting pad and a lower collecting base. The shape stabilizing cushion comprises a cushion plate, and the edge of the middle rear portion of the cushion plate is provided with a limiting protruding edge protruding upwards. The upper acquisition pad is a flat pad; the lower acquisition base comprises a base plate, and a downward positioning groove is formed in the upper surface of the base plate; and the shape stabilizing pad, the arch pad and the upper collecting pad are sequentially sleeved in the positioning groove from top to bottom. When the device is used, the upper collecting pad is placed in the positioning groove of the lower collecting base, then a foot steps on the upper collecting pad, footprints are formed on the upper collecting pad, then the foot arch pad is placed at the foot arch shadow position of the footprints, then the shape stabilizing pad is placed, and finally the thermoplastic insole is placed on the shape stabilizing pad after being heated and is used for foot stepping forming. The thermoplastic insole is shaped according to the foot shape of each person after being heated, and foot arch gaskets with different thicknesses can be added according to feedback, so that the thermoplastic insole which completely adapts to the foot arch shape of the person can be treaded out.

The invention discloses a barefoot footprint cross-modal retrieval method and a barefoot footprint cross-modal retrieval system based on flexible alignment. The method comprises the following steps: acquiring an on-site barefoot image and an optical barefoot image; inputting the field barefoot image and the optical barefoot image into a flexible alignment network oriented to cross-modal barefoot footprint retrieval to perform barefoot footprint retrieval so as to obtain a classification result; wherein the flexible alignment network is used for respectively processing different modal information of the barefoot footprint image and fusing the characteristics of the barefoot footprint image and the barefoot footprint image to optimize global context information modeling so as to generate a classification score for judging whether the footprint image belongs to the same individual or not; and outputting the classification result. By implementing the method provided by the invention, a retrieval model which is more robust and has good structural adaptability can be realized, the problems of significant modal difference and deformation inconsistency between the footprint of an actual crime scene and the standard footprint of a laboratory are specially solved, and the accuracy and reliability of footprint retrieval are improved.

The invention relates to the technical field of foot evaluation, in particular to a sole evaluation method and system based on a large model. The planta pedis evaluation method comprises the following steps: acquiring first footprint image data; the first footprint image data is standard footprint image data; constructing a training set by using the first footprint image data to finely adjust the open-source image large language model to obtain a footprint evaluation reasoning model; acquiring second footprint image data; the second footprint image data is footprint image data obtained by carrying out modulus taking on a template by a foot of the user; and inputting the second footprint image data into the footprint evaluation reasoning model to obtain a sole evaluation result. According to the method, the pre-trained image language model is finely adjusted to obtain the footprint evaluation reasoning model capable of executing the foot type evaluation task. After a user uploads a real footprint image, the user can obtain information such as the foot length, the foot width, the foot arch type and shoe selection suggestions, the model can be finely adjusted again according to a feedback text sent by the user, and lifelong learning is achieved.

1. Name of the Design Product: On-site Physical Evidence Investigation Lamp (Panoramic). 2. Use of the Design Product: Used for searching and discovering footprints, biological physical evidence at the crime scene, and vehicle traces at the traffic accident scene, etc. in the fields of law enforcement operations, public safety, etc. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Stereogram. 5. Other Situations Requiring Explanation Other Explanation: Parts A, B, and C in the views of this appearance are made of transparent materials.

Techniques are disclosed for authenticating a person based on the person's individual makeup application techniques (MATs) for secured access purposes. As combinations of MATs are highly individualized and may even be unique between different people, the disclosed techniques leverage MAT signatures as an authentication factor. For example, various makeup application technique footprints produced by corresponding MATs which were utilized to apply makeup to a subject person may be extracted from a captured image in which the subject person is depicted. One or more combinations of the extracted footprints may be compared to a MAT signature registry to thereby authorize the identity of the subject person or otherwise deny authorization of the subject person. MAT-based authentication may be combined with other authentication factors (such as biometric identification techniques) to provide increased levels of security.

1. The name of the design product: stand (with animal footprints). 2. The use of the design product: for mobile phone stand. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention belongs to the technical field of behavior analysis, and discloses a mouse gait analysis method and system based on color regionalization; the method comprises: demarcating a mouse interest area in a preset closed walking platform, collecting background pictures, allowing the mouse to move freely in the closed walking platform, turning on a camera to continuously shoot, and collecting a natural gait video; performing a first detection on the natural gait video to obtain a foreground image set containing only the mouse, establishing a color regionalization coordinate system, combining a spatial logic algorithm to distinguish footprints, and performing detection through a short-term interference rejection algorithm and a four-phase cross-validation algorithm; performing a second detection, performing regional coloring on the image through the first detection result, and calculating the gait analysis data of a specified paw through a specified color; the invention can obtain accurate gait analysis data, and provide strong support for mouse behavior research and research in the field of neuroscience.

The embodiment of the invention discloses a footprint extraction method and device, footprint extraction equipment and a storage medium. The method comprises the following steps: acquiring footprint images of a to-be-extracted footprint in a plurality of preset directions; performing feature extraction on each footprint image to obtain feature information of each footprint image; and performing stereoscopic model reconstruction according to each feature message to obtain a three-dimensional model of the footprint to be extracted. In this way, compared with footprint extraction through gypsum molding, photographing can store the features of the footprint to be extracted, the footprint to be extracted is not prone to being damaged, and therefore accurate extraction of the footprint to be extracted can be achieved.

1. Name of the design product: shoe sole (animal footprint). 2. Use of the design product: the user can bind the animal footprint shoe sole to the bottom of the user's foot to print the animal footprint pattern on the snow or sand. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: front view.

According to the seal for exploring animal footprints and the puzzle resolving picture book set, the seal comprises the soft cushion, the fixing assembly and the foot model piece, the seal can be fixed to the hand or the foot of a user through the fixing assembly, the soft cushion plays a role in protecting the user, the user can apply force conveniently to form the footprints on soft materials, and therefore the seal can be used for exploring animal footprints. The foot model piece can well simulate the foot sole of an animal, so that a simulated animal footprint which is very close to a real animal footprint is printed, a user, especially a child, can autonomously explore and learn related knowledge of the animal footprint and experience different footprint forming processes and animal behaviors, and pertinence, practicability and interestingness are high. Moreover, as the foot model piece is detachably mounted on the soft cushion, only different foot model pieces need to be replaced for simulation of different animal footprints, and the soft cushion and the fixing assembly can adopt unified standard parts, so that the production difficulty and cost are reduced, and the product is more favorable for being popularized.

1. Name of the designed product: wine box (dinosaur trace of remote ancient landform). 2. Use of the designed product: for product packaging. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo best indicating the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention belongs to the technical field of foot detection, and particularly relates to a foot detection method, system and equipment based on image recognition. According to the method, the extraction precision of the foot shape contour is remarkably improved, the accuracy of a detection result is ensured, the foot appearance information and the footprint area coefficient are combined, detection is carried out from the two aspects of appearance and functional characteristics, all-around foot evaluation is provided, the generated foot detection report can visually reflect the health condition and the functional characteristics of the foot, and the detection accuracy is improved. The method provides scientific basis for foot nursing, correction insole design and the like, is suitable for foot image data of different forms, has high universality and adaptability, and can be popularized to the fields of medical treatment, sports health and the like.

1. The name of the design product: temperature sensing foot print detection device. 2. The use of the design product: for the tester to stand barefoot on the temperature sensing foot print plate, showing the collection of the tester's foot print. 3. The design points of the design product: in the shape, pattern and color of the product. 4. The picture or photo that best shows the design points: design 1 perspective view. 5. The design claimed contains color. 6. Design 1 is designated as the basic design.

The invention relates to the technical field of ecological environment monitoring, in particular to a correlation analysis method and device based on carbon footprint data and species inhabitation data. The method comprises the following steps: acquiring species inhabitation data and carbon footprint data for a target area; utilizing the species inhabitation data and the carbon footprint data to construct a collaborative feature matrix; based on the collaborative feature matrix, calculating a habitat quality evaluation index for representing the comprehensive state of the habitat of the species and a net carbon footprint index for representing the net carbon exchange capacity of the target area; and through the habitat quality evaluation index and the net carbon footprint index, establishing a quantitative relationship between the species habitat data and the carbon footprint data in the ecological environment of the target area. Compared with the prior art, the internal relation between the data is mined through correlation analysis of the two kinds of data, and the quantitative relation between habitat evaluation and the carbon footprint is established. The problem of data splitting in traditional monitoring is solved, multi-dimensional and deeper comprehensive evaluation of the ecological environment is realized, and the comprehensiveness and accuracy of environment evaluation are improved.

The techniques and systems herein enable track association based on azimuth extension and compactness errors. Specifically, first and second tracks comprising respective locations and footprints of respective objects are received. An azimuth distance is determined based on an azimuth extension error that corresponds to azimuth spread between the first and second tracks with respect to a host vehicle. A position distance is also determined based on a compactness error that corresponds to footprint difference between the first and second tracks. Based on the azimuth and position distances, it is established whether the first object and the second object are a common object. By doing so, the system can better determine if the tracks are of the common object when the tracks are extended (e.g., not point targets) and / or partially observed (e.g., the track is not of an entire object).

The invention relates to the field of footprint recognition, and discloses a barefoot footprint comparison method and device based on deep learning, and the method comprises the steps: obtaining a to-be-recognized barefoot footprint, and determining a toe region and a sole region in the to-be-recognized barefoot footprint through a footprint segmentation unit; determining a plurality of intermediate target barefoot footprints corresponding to the to-be-identified barefoot footprints in a barefoot footprint database according to the toe region through a toe region identification unit; determining a final target barefoot formation footprint corresponding to the to-be-identified barefoot footprint in the plurality of intermediate target barefoot formation footprints according to the sole region through a sole region identification unit, and taking the final target barefoot formation footprint as an identification retrieval result; wherein the toe area identification unit is obtained through training of a plurality of barefoot-footprint toe area data sets. According to the method and the device, the footprint recognition and retrieval speed in the barefoot footprint can be increased.

The application relates to the field of footprint identification, and discloses a barefoot footprint comparison method and device based on deep learning. The method comprises the following steps: obtaining a to-be-identified barefoot footprint, and determining a toe region and a sole region in the to-be-identified barefoot footprint through a footprint segmentation unit; determining a plurality of intermediate target barefoot footprint traces corresponding to the to-be-identified barefoot footprint in a barefoot footprint trace database according to the toe region through a toe region identification unit; determining a final target barefoot footprint trace corresponding to the to-be-identified barefoot footprint in the plurality of intermediate target barefoot footprint traces according to the sole region through a sole region identification unit, and taking the final target barefoot footprint trace as an identification search result; wherein the toe region identification unit is obtained through training of toe region data sets of a plurality of barefoot footprint traces. The application can improve the speed of footprint identification search in the barefoot footprint trace.

The invention discloses a footprint and vamp synchronous acquisition triggering method and system based on sole image analysis, and aims to solve the problem of poor vamp image quality caused by inaccurate triggering opportunity or high system resource overhead caused by complex processing mode in the prior art. According to the technical scheme, the method comprises the steps that an image sequence which is shot by a lower image collecting unit and represents the contact state of a shoe sole and a collecting plane is obtained; defining a first region and a second region for each frame of the image sequence along a division axis, and quantifying contact area feature values of the first region and the second region respectively; according to the region with the characteristic value firstly exceeding the starting threshold value, determining the region as a first-in region, and determining the other region as a second-in region; when it is monitored that the contact area characteristic value of the first entry area reaches a peak value and then decreases, and the contact area characteristic value of the second entry area reaches or exceeds a stable threshold value, a synchronous trigger signal is sent to the vamp image acquisition unit. According to the invention, the most stable treading time of the sole can be accurately captured, and the acquisition quality of the vamp image and the real-time performance and adaptability of the system are obviously improved.