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329 results about "Gait cycle" patented technology

System and method for 3D gait assessment

ActiveUS20130123665A1Precise and accurate assessmentPerson identificationInertial sensorsInertiaHeel-and-toe
The invention relates to a system and a method for assessment of walking and miming gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the detection of specific temporal events and parameters, 5 optimized fusion and de-drifted integration of inertial signals, automatic and online virtual alignment of sensors module, 3D foot kinematics estimation, a kinematic model for automatic online heel and toe position estimation, and finally the extraction of relevant and clinically meaning-full outcome parameters. Advantageously including at least one wireless inertial module attached to foot, the system provides common spatio-temporal parameters (gait cycle time, stride length, and stride velocity), with the 10 advantage of being able to work in unconstrained condition such as during turning or running. It furthermore may provide original parameters for each gait cycle, both temporal (load, foot-flat and push duration) and spatial (foot clearance and turning angle), and their inter-cycles variability. The system and method according to the invention allows the assessment of various aspects of gait which have shown recently to be of premium importance in research and clinical field, including foot clearance, 15 turns, gait initiation and termination, running, or gait variability. The system may be light weight, easy to wear and use, and suitable for any application requiring objective and quantitative evaluation of gait without heavy laboratory settings.
Owner:ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)

Fourier descriptor and gait energy image fusion feature-based gait identification method

The invention relates to a Fourier descriptor and gait energy image fusion feature-based gait identification method. The method comprises the steps of performing graying preprocessing on a single frame of image, updating a background in real time by using a Gaussian mixture model, and obtaining a foreground through a background subtraction method; performing binarization and morphological processing on each frame, obtaining a minimum enclosing rectangle of a moving human body, performing normalization to a same height, and obtaining a gait cycle and key 5 frames according to cyclic variation of a height-width ratio of the minimum enclosing rectangle; extracting low-frequency parts of Fourier descriptors of the key 5 frames to serve as features I; centralizing all frames in the cycle to obtain a gait energy image, and performing dimension reduction through principal component analysis to serve as features II; and fusing the features I and II and performing identification by adopting a support vector machine. According to the method, the judgment whether a current human behavior is abnormal or not can be realized; the background is accurately modeled by using the Gaussian mixture model, and relatively good real-time property is achieved; and the used fused feature has strong representability and robustness, so that the abnormal gait identification rate can be effectively increased.
Owner:WUHAN UNIV OF TECH

Device for promoting toe-off during gait

Disclosed is a gait toe-off promoting device or a device configured to promote toe-off during gait comprising: (a) a first sensor located proximate the ball of a foot of an individual and configured to sense the force acting on the ball of the foot during a gait cycle and to provide a signal corresponding to the force; (b) a second sensor located proximate a pressure receiving surface of a toe of the foot of the individual and configured to measure the force acting on the toe of the foot during the gait cycle and to provide a signal corresponding to the force; (c) a control center configured to process the signals, as received from the first and second sensors, to obtain respective first and second measured values, wherein the control center is also configured to compare the first and second measured values to at least one pre-determined value programmed and stored within the control center; and (d) a feedback mechanism operably connected to and controlled by the control center and configured to notify the individual of improper toe-off during the gait cycle, wherein the feedback mechanism is activated as directed by the control center upon an unacceptable comparison of the measured values with the pre-determined value(s), thus making the individual aware of the need to correct future gait cycles.
Owner:STERLING INVESTMENTS LC

Gait classification method based on multi-sensor information fusion

ActiveCN104008398AComprehensive and objective analysisGuaranteed reasonable resultsCharacter and pattern recognitionDiagnostic recording/measuringClassification methodsMedical treatment
The invention relates to a gait classification method based on multi-sensor information fusion. The gait classification method includes the following steps that (1), plantar pressure information and ankle angle information in the walking process of multiple patients are collected; (2) according to the obtained plantar pressure information, gait stages of the patients are analyzed, the gait stages are divided into the stages of touching the ground with the feet and the stages of swinging the legs, and one gait cycle includes one stage of touching the ground with one foot and one stage of swinging the leg of the same foot of each patient; (3) a characteristic value of each gait cycle is set, so that gait characteristics of all the patients in the walking process are represented; (4), gait cluster analysis is performed on all the characteristic values of all the gait cycles of all the patients through a spectral clustering algorithm, so that the patients with the different gait characteristics are divided into different classifications. The patients are objectively classified, so that reference is provided for rehabilitation training and treatment of the patients, and a doctor can adopt different treatment modes and training intensities for the patients of the different classifications conveniently. The gait classification method can be widely used in the fields of gait analysis and medical rehabilitation.
Owner:PEKING UNIV
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