579 results about "Human head" patented technology

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.

A combination pressure release ergonomic pillow comprised of a body of the pillow having its top surface in a curve complying with ergonomic requirements of the human head and neck, a channel on one side or multiple channels on both sides, a slot at bottom of the body of the pillow, and insert(s) to be inserted into the channel(s); and a support inserted into the slot to support the back of head of the user; the insert being retractable to adjust the height of the pillow body to define optimal pressure release curve according to the individual user to protect the cervical vertebrae of the user.

A method for accurately estimating a pose of the human head in natural scenes utilizing positions of the prominent facial features relative to the position of the head. A high-dimensional, randomly sparse representation of a human face, using a simplified facial feature model transforms a raw face image into sets of vectors representing the fits of the face to a random, sparse set of model configurations. The transformation collects salient features of the face image which are useful to estimate the pose, while suppressing irrelevant variations of face appearance. The relation between the sparse representation of the pose is learned using Support Vector Regression (SVR). The sparse representation, combined with the SVR learning is then used to estimate a pose of facial images.

The invention discloses an intelligent analysis system and an intelligent analysis method for video monitoring, and a system and a method for detecting and tracking head and shoulder. People in the scene can be identified by detecting human head and shoulder and estimating and identifying motions of human head and shoulder, and then intelligent analysis is realized; therefore, the inapplicabilitywhen identifying the people by the whole human body is avoided, and the accuracy of the intelligent analysis is improved due to the improved identification precision of the human body.

A multisound-channel device of bone conduction is prepared as using multisound-path oscillator or delay module to make stereo sound-channel effect, enabling to place said device at any position of human head to let said device contact closely with bone skin for transmitting acoustic wave signal to human ear from different orientations separately to form stereo function with multi-sound channel or convert voice to be voice signal by utilizing bone conduction principle through bone skin at different positions.

A partially parallel acquisition RF coil array for imaging a human head includes at least a first, a second and a third loop coil adapted to be arranged circumambiently about the lower portion of the head; and at least a forth, a fifth and a sixth coil adapted to be conformably arranged about the summit of the head. A partially parallel acquisition RF coil array for imaging a human head includes at least a first, a second, a third and a fourth loop coil adapted to be arranged circumambiently about the lower portion of the head; and at least a first and a second Figure-8 or saddle coil adapted to be conformably arranged about the summit of the head.

The invention discloses a people flow rate statistical method and a system, wherein the method comprises the following steps: adopting parallel-connected classifiers to carry out human head detection on a current image, and determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, the people flow rate statistical method and the system can connect a plurality of classifiers in parallel for use and simultaneously detect a plurality of types of human head targets in dark hair, light hair, various colors of hats and the like.

The invention discloses a people flow rate statistical method and a system capable of precisely identifying targets, wherein the method comprises the following steps: adopting a classifier to carry out human head rough detection on a current image, carrying out edge feature fine screening treatment on the rough detection result, and determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, edge feature is further utilized for carrying out the fine screening on the rough detection result after the rough detection, thereby obtaining the real human head targets to a greater extent, improving the human head detection precision and further improving the accuracy of statistics of people flow rate.

The invention discloses a classification method and a device of human body posture. The classification method of human body posture comprises the steps of: determining a human body region in an existing frame image; extracting the human body shape so as to obtain the external outline in the human body, then obtaining the information of the position of human head by human head detection; and then determining that the human body posture is in vertical standing-up status when the head part is right in the middle of the external outline of the human body; and further calculating the aspect ratio of the external outline of the human body when the head part is located at one side of the external outline of the human body, and then determining the types of human body posture according to the aspect ratio of the external outline of the human body, thereby achieving automatic identification and classification to the human body posture, without human intervention, thus making up the detects thatthe prior art does not provide a method for classifying the human body posture.

The invention relates to the technical field of computer vision and discloses a measuring method and a measuring device for the height of a human body based on a binocular vision technique. According to the measuring method and the measuring device disclosed by the invention, the height of a human body target is measured by acquiring image coordinates of a human head sharp point of the human body target in a scene image shot by a binocular camera and depth information corresponding to the image coordinates and calculating world coordinates of the human head sharp point under a coordinate system of the camera. According to the measuring method and the measuring device, the requirement on the compatibility of a measured person is low, and the height measurement can be finished by a mode that the person stands within the measurable range for shooting by the camera; the body heights of multiple persons in the scene can be simultaneously measured; in addition, the measurement precision is higher.

Gravity center position GRA of image display device 15 is, in a human state of standing, located in a more backward position compared with eyeball 9 and in a more downward position compared with eyeball 9. In this case, assuming that the rotation axes of the head are the X-axis, the Y-axis, and the Z-axis, the intersection point of these axes is the head's rotational movement center CNT. By this, GRA comes close to CNT, and thus, even when rotational movement of the head occurs around CNT, inertia forces other than moment of inertia are successfully made small. Therefore, the image display device can smoothly follow the movements of human head even if the device is heavy in weight.

The invention relates to a measurement system and a measurement method for a head-related transfer function in a common environment. The measurement system comprises a loudspeaker array consisting of two or more horizontal loudspeakers; a microphone is a double-ear microphone array and is arranged in the sound wave emitting direction of the loudspeaker array; test signals are processed by a soundsignal DC conversion device and a power amplifier and then fed to the loudspeaker array and played by each loudspeaker, and the test signals of each path are irrelevant; the double-ear microphone array picks the sound signals, and the sound signals are output to a data processing terminal through a sound signal AD conversion device; and the data processing terminal calculates a cross correlation function between the signals played by each loudspeaker and the signals picked by the microphone by using a correlation analysis method, and the cross correlation function is processed to obtain the head-related transfer function (HRTF) from each loudspeaker to the left and right ears of a human head. The head-related transfer function, head type parameters and posture parameters of a listener arequickly acquired by combined processing of the loudspeaker array and the double-ear microphone array.

The invention relates to a non-surgical and non-invasive drug-free therapeutic apparatus and method of using thermal energy-in-transfer to normalize poor sinus cilia function that can cause upper respiratory tract problems. The nasal and sinus cavity membranes have thousands of very small hair-like organelles called cilia. They are capable of rhythmic beating like oars, and they keep the sinus cavities clear of debris, pollutants and excessive drainage. This Mucociliary Clearance System performs best at a temperature slightly above the human body's normothermia. The method and therapeutic apparatus includes a mask with a pocket cavity that accommodates a heating element. The heating element can use heat from a disposable heating pack. When the apparatus is affixed to the human head with the heating element engaged, the warmth helps restore normal cilia function by bringing the temperature of the sinus cavities to a more optimal temperature which is above normothermia.

The invention discloses a people flow rate statistical method and a system applicable to multi-angle application scenes, wherein the method comprises the following steps: carrying out scene calibration on a detection region in an image and further dividing the detection region into a plurality of sub-regions; adopting a classifier to carry out human head detection on the current image in the sub-regions, determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, the method and the system can realize the self-adaptation to various angles of a camera and expand the range of applications through the scene calibration and the automatic selection of the size of a detection window before the detection.

A system for simulating cerebrospinal injury includes a simulated human head having an anatomically representative volume filled with a brain or spinal cord simulative mass material. A force sensor is located within the volume at a preselected location to yield information needed to simulate axonic cerebrospinal injury. Simulated cerebrospinal injury information is helpful in designing countermeasures to lessen such injury.

The invention discloses a human flow counting method based on a video analysis technology, and relates to an intelligent video analysis technology. The counting method comprises the following steps of: (1) training a human head feature model; (2) acquiring a foreground point of a moving object by using an inter-frame difference; (3) performing human head feature extraction and identification; (4) performing human body local feature identification; (5) performing human head feature region tracking; and (6) performing human flow counting. The performance is stable, speed and efficiency are high, and the false alarm rate is low; and generality, portability and extensibility are high, and the method is suitable for equipment of various manufacturers and various intelligent video analysis systems.