1619 results about "Human motion" patented technology

A motion control system includes an actuator having an actuation member, the actuation member having a proximal end attached to the actuator on a first side of a joint and a distal end attached to an anchor element attachment point on a second side of the joint. A first sensor is configured to output signals defining a gait cycle and a second sensor is configured to output signals representing a tensile force in the at least one actuation member. A controller receives the output signals from the sensors and actuates the actuator, during a first portion of the gait cycle, to apply a force greater than a predetermined threshold tensile force to the anchor element attachment point via the actuation member to generate a beneficial moment about the joint and to automatically actuate the actuator.

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

The invention discloses a human motion capture three dimensional playback system and a method thereof. The system is characterized in that the system comprises a human motion capture subsystem and a human motion playback subsystem; the human motion capture subsystem is composed of a microsensor motion measuring module and a motion parameter estimating module; the microsensor motion measuring module measures corresponding body motion data by a plurality of microsensor units attached to each limbs and trunk of human body respectively, and the motion parameter estimating module fuses microsensordata of different types of each microsensor unit and deduces the mass motion of human body; the human motion playback subsystem is used for receiving human mass motion parameters deduced by the humanmotion capture subsystem. The invention has the advantages of simple structure, high precision, low cost, small volume, low power consumption and convenient usage, has the characteristics of portability and real-time, has wide application in numerous fields and has comparatively strong practical value and application prospect.

An improved human motion applicator assures a quick and sufficient amount of displacement given to a part of a human body. The applicator includes a support adapted to be fitted on the part of the human body. The support carries at least one electro-active elastic actuator in a force-transmitting relation to the human part. The actuator includes a dielectric core and a pair of electrodes on opposite of the core for receiving a driving DC voltage thereacross. The elastic actuator has a length and elastically deforms in the lengthwise direction to exert a stretching force to the human part to a greater extent as the driving DC voltage increase. The applicator also includes a controller which applies the driving DC voltage of varying levels to the elastic actuator, thereby generating a varying motion-inducing force to be applied to the part of the human body.

The invention discloses a multifunctional composite rehabilitation system for a patient suffering from central nerve injury. The multifunctional composite rehabilitation system comprises a database module, a data managing module, a man-machine interaction module, a function evaluating module, a prescription generating and managing module, a calculating module, a system control module and a safety protecting module. By utilizing the artificial intelligence, the human motion intension can be predicted and recognized, the man-machine coordination control is realized, and the active type rehabilitation treatment of the patient is finished; through a multisource signal collection, signal fusion and real-time control technologies, every function is organically combined, the coordinative rehabilitation treatment of every function module is realized, the rehabilitation effect is effectively improved and the labor consumption is reduced; during the process of rehabilitation, the patient is guided to finish the rehabilitation treatment step by step by using the virtual reality technology; through the interaction among a doctor, the patient and a computer, a progressive composite rehabilitation strategy according with the disease condition of the patient is comprehensively determined, so that the patient suffering fromnerve injury can receive the most effective rehabilitation treatment within a gold rehabilitation period of 50 days, and therefore, the maximization of the functional rehabilitation is promoted.

The invention relates to a human motion capture device which comprises motion measuring units, a motion parameter estimation unit, an initialization unit, a display estimation unit and an overall integration unit; the motion measuring units are attached on all the limbs of a human body and are used for measuring the motion data and the environmental data of all the limbs; the motion parameter estimation unit deducts the motion parameters and the environmental parameters of all the limbs, and when in deduction, a self-adaptive anti-interference three-dimensional angle estimation method is adopted to deduct the three-dimensional angle values of all the limbs; the initialization unit is used for receiving and integrating the motion parameters and the environmental parameters of all the limbs, and deducting the initial operation parameters of the human body motion capture device; the displacement estimation unit is used for receiving and integrating the motion parameters and the environmental parameters of all the limbs as well as the initial operation parameters of the human body motion capture device, and deducing the displacement of the human body relative to the ground; and the parameters and the displacement of the human body relative to the ground are finally integrated together by the overall integration unit, so that the position and the gesture of the overall motion of the human body are worked out and output.

The invention relates to the technical field of gait analysis in biomedical engineering and provides a human gait analyzing method and system based on multi-sensor fusion. The method comprises the steps of filtering sensor signals to eliminate the signal noise error according to human motion features, and eliminating the integral error by means of the improved zero velocity updating algorithm, so that the method and system can be adapted to different walking scenes; fusing multiple sensor data with the Denavit-Hartenberg method, and reducing the leg position calculation error; calculating the step speed, step length, step frequency, walking period and walking track of a tested person accurately during walking after error correction is conducted; establishing a gait database, and conducting statistic analysis on gait data of different tested persons with the quantile regression analysis method. By the adoption of the method and system, gait parameter measurement precision can be improved, and gait parameters of different tested persons are comparable through standardization.

A method for recognition of an input human motion as being the most similar to one model human motion out of a collection of stored model human motions. In the preferred method, both the input and the model human motions are represented by vector sequences that are derived from samples of angular poses of body parts. The input and model motions are sampled at substantially different rates. A special optimization algorithm that employs sequencing constraints and dynamic programming, is used for finding the optimal input-model matching scores. When only partial body pose information is available, candidate matching vector pairs for the optimization are found by indexing into a set of hash tables, where each table pertains to a sub-set of body parts. The invention also includes methods for recognition of vector sequences and for speech recognition.

A power generation and/or storage device utilizes human motion inputs or other power sources (i.e. hydraulics, pneumatics or explosive gases) to create mechanical kinetic energy that is stored (preferably in springs) and later released on demand to rotate a generator to produce electricity.

The invention discloses a movement capturing method based on multiple binocular stereo vision. A movement video collecting device is constructed, and human movement video sequences from different orientations are collected by the movement video collecting device. Multiocular movement video sequences shot by a plurality of cameras are calibrated. Marked points matching and tracking of each binocular tracker is finished. Data fusion of three-dimensional tracking result of multiple binocular trackers is completed. The three-dimensional movement information of the marked points acquired by a multiocular fusion device is fed back to the binocular tracker to consummate binocular tracking. On the basis of binocular three-dimensional tracking realized by binocular vision, the invention fuses multiple groups of binocular three-dimensional movement data, resolves parameter acquiring problem of three-dimensional position, tracking, track fusion and the like for a plurality of marked points, increases number of traceable market points and enables the tracking effect to be comparable with three-dimensional movement acquiring device employing multi-infrared cameras for collecting.

The invention belongs to the crossing field of computer vision and intelligent robot, and discloses a new multi-feature multi-sensor method for a mobile robot to track a moving body. The method comprises the following steps: 1, coarsely positioning a body carrying a passive tag around a radio frequency identification (RFID) system by using the RFID system; 2, initially positioning the body in an image by using an adaptive template matching algorithm based on head and shoulder features; 3, accurately positioning the body in the image by using a multi-feature-based mean-shift algorithm; 4, predicting the moving state of the body by using a extended Kalman filter algorithm; 5, screening the acquired target position information by using a double-layer collaboration positioning mechanism; and 6, controlling the robot to move along with the body by using a robot following control algorithm. By the method, bodies with different poses can be tracked, the problem that the tracking is influenced when a target suddenly turns and is shielded is solved, and the robot can accurately, stably and continuously track the moving body.

The invention discloses a method and system for matching features of human bodies and MAC (medium access control) addresses. The method comprises the following steps: receiving a video image within a monitoring range, acquiring face images and/or body images, extracting face features or body features, respectively clustering the face features or the body features into face clusters or body clusters, correlating and clustering the face clusters or the body clusters of a same person and acquiring a movement trajectory of each of the human bodies; acquiring MAC records of mobile equipment, storing the MAC records into a MAC diary database and drawing a movement trajectory of the mobile equipment; acquiring and traversing each of the human bodies according to the movement trajectory of each of the human bodies, calculating the times cij of successful matching of each of the human bodies and each of mobile equipment in the movement trajectory and the times of appearance of each of the mobile equipment within the time period of the movement trajectory and acquiring matching rate of each of the human bodies and the equipment according to the a specific value. According to the method and the system, matching is realized by MAC and the face features or the body features, and the identities of the human bodies corresponding to the MAC addresses are acquired by taking the human bodies as mediums, so as to realize the correlation of the identities, the images and the MAC addresses.