1579 results about "Walking gait" patented technology

A method of gait data collection, the method comprising collecting movement data, determining from the data a movement parameter that includes a third order derivative of position, comparing the movement parameter with a threshold value, and counting at least a near fall if the movement parameter exceeds the threshold value.

A footwear construction including a sole and an adjustable heel element selectively rotatable about an axis of rotation to configure the heel element in a fitness mode or a stability mode. The heel element can include a ground contacting surface having a first performance contour and a second, different performance contour. In the fitness mode, the first performance contour is positioned rearward of the second performance contour to provide a rolling / rocking motion when the heel region of the footwear engages a walking surface in a gait cycle. In the stability mode, the second performance contour is positioned rearward of the first performance contour to provide a stable impact when the heel region engages a walking surface. The footwear can include an actuator to enable the heel element to rotate and locking elements to hold the heel element in a fixed rotational position. A related method of use also is provided.

A body-weight support system that allows individuals with severe gait impairments to practice over-ground walking in a safe, controlled manner is disclosed. The system includes a body-weight support system that rides along a driven trolley and can be controlled in response to the movement of the subject using the system.

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.

A person's step length and rate may be measured, for example, through sensors that collect spatial and temporal gait parameter data. The measurements are then used to determine the rate of a rhythmic auditory cue to improve the person's gait. For example, a system links sensors to detect step rate and length to an audio cue provided to headphones, while providing the appropriate algorithms to accomplish real time adjustments to the audio cues as needed to better help change the person's step length vs. step rate ratio in a desired direction depending on therapeutic or performance goals.

A method for restoring functional ambulation in subjects with incomplete spinal cord injuries which includes partial weight bearing therapy followed by epidural spinal cord stimulation (ESCS) to facilitate partial weight bearing therapy and over-ground walking. Electrical epidural stimulation (EES) is generated by an implanted device during partial weight bearing therapy on a treadmill. The subject is then transitioned to full weight bearing gait training on a treadmill with EES to over-ground gait training with EES and a walker, and finally to full weight bearing independent stepping over-ground with EES with or without an assistive device.

A method and system for analyzing gait asymmetry between left and right feet of individuals by measuring and comparing stance phase time and / or stance phase force between left and right feet during gait, and providing real-time sensory feedback if stance phase time / force inequality exceeds a predetermined threshold.

A new apparatus, system and method for fall prevention training is provided that delivers, studies and analyzes the biomechanics of a disturbance event, such as a slip or trip incident, so that an appropriate response can be executed by the person to reduce or eliminate the number of falls experienced. The apparatus includes a platform that delivers a disturbance event in less than about 500 ms and preferably in the range of about 100 ms to about 200 ms. The method includes a unique protocol for fall prevention training using the apparatus. The disturbance event can create instability in the joint of the individual. An individual's walking gait can be monitored with the portions thereof detected. A disturbance event can be triggered when a given portion of the walking gait is detected. Also, the disturbance even can be triggered manually, at preset intervals or according to preset script.

A walking rehabilitation and exercise machine in the form of an elliptical style machine closely replicates the mechanical foot motions of walking, while incorporating hand motion to help a disabled or injured person retrain muscles in a proper walking gait and improve physical fitness. The device includes an electrically adjustable seat, independent left or right electrically adjustable stride and an electric flywheel drive to assist the operator.

Provided is a three-dimensional gait information collection and analysis method based on Kinect motion-sensing technology. The method includes the steps of utilizing a running machine, a Kinect sensor, a Kinect supporting cloud platform and a computer to constitute a gait data collection hardware system, choosing a speed level of the running machine for a person to walk on the running machine; using the Kinect sensor to identify nodes of a human skeleton, and adopting threshold filtering and double-exponential filtering to stabilize data about the skeleton nodes, then building a local coordinate system according to human anatomy and calculating an anatomy movement curve; using a catch method for a gait event to identify the gait event, finishing calculation of gait parameters according to the gait skeleton data, and finally displaying the gait parameters and a gait motion curve on the interface. The three-dimensional gait information collection and analysis method based on the Kinect motion-sensing technology has the advantages of low production costs, no use of gauge points for catching three-dimensional skeleton nodes, remote collection, an ability of automatically catching a gait event, precise calculation of gait parameters and tracks, simple operation and the like.

A landing position / orientation of a foot (22) to be landed in a landing action of a robot (1) such as a biped mobile robot or the like is estimated, and a desired footstep path for the robot (1) is set up. Based on the estimated landing position / orientation and the desired footstep path, a future desired landing position / orientation is determined in order to cause actual footsteps of the robot (1) (a sequence of landing positions / orientations of the foot (22)) to approach desired footsteps. Using at least the determined desired landing position / orientation, a desired gait for the robot (1) is determined, and the robot (1) is controlled in operation depending on the desired gait. For determining the desired landing position / orientation, mechanism-dependent limitations of the robot (1) such as an interference between the legs thereof, etc., and limiting conditions of an allowable range in which a desired ZMP can exist are taken into consideration.

The invention relates to a system and method for providing feedback to a user on his or her running style or running technique. The system employs a pressure sensitive surface to record a gait line of the center of pressure exerted by the user's foot on an underlying surface during a footstep period. In case of a fore or mid-foot landing the gait line may be observed to move backwards with respect to the sagittal plane. From a backwards-going gait line two time stamps are determined. The first timestamp T1 is the time that the foot strikes the ground. The second timestamp T2 is the time that the gait line reaches the most backward position. From the time difference between these two timestamps a loading time dT is determined. The reactivity of the running style describes the viscoelastic behavior of the muscle-tendon unit and may be calculated as a function of this loading time and / or the distance moved by the centre of pressure backwards towards the heel. Correspondingly, a feedback signal may be provided to the user about his running reactivity.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

The invention provides a lower limb power-assisted exoskeleton robot gait pattern identification method and system. The method comprises the steps that a pressure sensing device embedded into a shoe sole of a lower limb power-assisted exoskeleton robot is used for detecting shoe sole pressure information of a wearer, the obtained shoe sole pressure information is compared and matched with walking modes in a human body gait database, a walking mode is obtained through judgment, movement phases in a gait period are identified, and a movement phase is obtained through judgment; data are processed and analyzed, results obtained after identification and matching are transmitted to a lower limb power-assisted exoskeleton robot control system to be used as a control basis. The walking mode and the detailed movement phase in each gait period of the lower limb power-assisted exoskeleton wearer provide the abundant decision basis for control over the lower limb power-assisted exoskeleton. The lower limb power-assisted exoskeleton robot gait pattern identification method and system not only can provide movement information of the wearer for the lower limb power-assisted exoskeleton, but also can be widely applied to human body gait identification.

A system method and device, the system including a gait device for facilitating a gait of a person over a surface and one or a plurality of crutches to provide support over the surface the gait device, each of said one or a plurality of crutches including a locomotion facilitator to enhance locomotion of that crutch over the surface and a mechanism to modify the locomotion of that crutch over the surface.

The invention discloses a gait planning method for walking of a biped robot along a slope, and belongs to the technical field of robots. The method contains two core theories, namely, non-orthogonal decomposition and synthesis of a three-dimensional linear inverted pendulum and gait planning based on a biped long linear inverted pendulum. The method comprises the steps of gait parameter configuration, non-orthogonal decomposition of a three-dimensional linear inverted pendulum, foot trajectory planning based on three times of spline interpolation, centroid trajectory planning of a sagittal plane and a coronal plane based on a biped long linear inverted pendulum, non-orthogonal synthesis of the centroid trajectories of the sagittal plane and the coronal plane, and solving of joint trajectories of a robot based on inverse kinematics. By adopting the method of the invention, stable walking of a biped robot along all directions of a slope can be effectively achieved. The method is universal, simple in algorithm and high in practicality.

The invention relates to an assembly digital field based on a flexible array pressure sensor and a method for training gait. Parameters of an athlete including action time sequence, action frequency, position calibration, stress center point, stress time and flight time can be acquired through acquiring information including pressure of foot soles of the athlete contacted with the flexible array pressure sensor unit in the assembly digital field. The digital field and the method have the advantages that the requirement of real time can be met in longer distance; the module of the assembly digital field can be disassembled and assembled arbitrarily, and can extract gait characteristics on multiple sports training events; and the athlete can correctly recognize the training effect of the athlete self through a sports effect evaluation system and an expert system, and adjust the training plan in real time. The digital field and the method can also be applied in the field of mode recognition.

There is provided a gait / posture analysis method which analyzes a gait / posture of a walker wearing a shoe having one or more pressure sensors attached thereon. The gait / posture analysis method includes: measuring a base foot pressure, which is generated when the walker wears the shoe, at arbitrary time intervals; calculating a representative base foot pressure by using the plurality of base foot pressures measured at the arbitrary time intervals; correcting a foot pressure measured by the pressure sensors by using the representative base foot pressure; calculating a foot-pressure related value, which is to be used for analyzing the gait / posture of the walker, by using the corrected foot pressure; and analyzing the gait / posture of the walker by using the foot-pressure related value.

In at least some aspects, the present concepts include a method for configuring an assistive flexible suit including the acts of outfitting a person with an assistive flexible suit, monitoring an output of at least one sensor of the assistive flexible suit as the person moves in a first controlled movement environment, identifying at least one predefined gait event using the output of the at least one sensor, adjusting an actuation profile of the at least one actuator and continuing to perform the acts of monitoring, identifying and adjusting until an actuation profile of the at least one actuator generates a beneficial moment about the at least one joint to promote an improvement in gait. The at least one controller is then set to implement the actuation profile.

A wearable lower-limb assistance exoskeleton comprises a left-side leg (A), a right-side leg (C) and an object carrier (B). A left first connecting rod (A1) is matched with an inserting rod (B1) to fixedly connecting the left-side leg (A) with the object carrier (B), and a right first connecting rod (C1) is matched with the inserting rod (B1) to fixedly connecting the right-side leg (C) with the object carrier (B). Lower limbs on two sides totally have two rotating degrees of freedom, and the lower limb on each side has one degree of freedom, so that hip joints, knee joints and ankle joints can rotate around the frontal axis. A left motor (A20) and a right motor (C20) are controlled by a bionic intelligent control program to realize walking gaits of the wearable lower-limb assistance exoskeleton. By the wearable lower-limb assistance exoskeleton, physical ability consumption of a person can be effectively reduced. The wearable lower-limb assistance exoskeleton is used for lower-limb assistance, can be used for soldier fighting equipment for military use and can also be used in the field of lower-limb rehabilitation.

A gait modulation system including: (a) a sensor device including a sensor adapted for associating with at least one lower limb of the patient, the sensor for transducing at least one parameter related to a gait of the patient, so as to obtain gait data related to the gait, and (b) a muscle stimulator including: (i) an electrical stimulation circuit, the circuit adapted to supply an electrical stimulation output to an electrode array for performing functional electrical stimulation of at least one muscle of the lower limb, and (ii) a microprocessor, operatively connected to the at least one sensor, the microprocessor adapted for: receiving a stream of gait information based on the gait data; processing the gait information, and controlling the stimulation output based on the processing of the gait information, and wherein the microprocessor is further adapted to identify a failure in the stream of gait information, and to consequently control the electrical stimulation circuit to deliver a fail-safe stimulation output over a portion of a duration of the failure.

A shoes system for walk diagnosis using an insole sheet for walk diagnosis includes shoes for walk diagnosis including a PCB installation groove having a stepped groove at one upper side of an insole to mount a system for detecting a gait, a cover attached onto the insole, a pressure detection sheet placed on the cover to generate a switching signal corresponding to a pressure applied by a walker, and a circuit unit that is installed in the PCB installation groove, is connected to a connecting unit of the pressure detection sheet, accumulates and manages signals detected from the connecting part for each time slot, supplies wireless power to the system, and wirelessly transmits data corresponding to walk information, and a charging stage including a mounting panel for mounting the shoes for walk diagnosis.

The invention discloses a gait recognition method based on deep learning. The gait recognition method based on deep learning is characterized that identity of a person in a video is recognized according to gaits of the person through weight-shared two-channel convolutional neural networks by utilizing strong learning ability of the convolutional neural networks in a deep learning mode. The method has strong robustness on gait changes crossing large view angles, effectively solves the problem that accuracy is low when existing gait recognition technologies are used for recognizing gaits crossing view angles. The method can be widely applied to scenes with video monitoring, such as safety monitoring in airports and supermarkets, personnel recognition and criminal detection.

The invention provides a security protection management method and system based on face features and gait features. The method comprises establishing a user feature database, extracting image data of video frames, extracting user features, determining valid users and invalid users, and the like. On the basis of face identification, the authenticity and the validness of the users are further verified through gaits, and accuracy of identity identification can be provided. The system is realized based on the method and comprises a user feature database model, a video frame image data extraction module, a user feature extraction module, a valid user determining module, a valid user verification module and the like. Through non-contact type face identification and gait identification, convenience is brought to security protection management.

The invention discloses a hemiplegic patient self-recovery meter based on a body mirror image theory, and belongs to the field of medical instruments. The hemiplegic patient self-recovery meter comprises a contralateral limb posture signal acquisition device, a signal feature extraction and combination device and an electrical stimulation device, wherein the contralateral limb posture signal acquisition device is used for acquiring the posture information of a contralateral limb of a patient and transmitting the acquired signal to the signal feature extraction and combination device; the signal feature extraction and combination device is used for mapping the posture information of the contralateral limb of the patient from a normal walking gait database according to the received posture information of the contralateral limb and the personal information of the patient, generating a corresponding motion control command, and sending the control command to the electrical stimulation device; and the electrical stimulation device is used for receiving the control command, generating an electrical stimulation signal for stimulating the limb of the patient and making the limb of the patient generate corresponding motion. The recovery meter controls the contralateral limbs of the patient to coordinately move through mirror image copying by taking the posture information of the contralateral limb of the patient, so that effects of balance walking of a hemiplegic patient and reconstruction of a moving function are achieved.

The invention discloses an exoskeleton gait analysis system and method based on multi-sensor fusion. The exoskeleton gait analysis system based on multi-sensor fusion comprises outer bones, attitude and heading devices, intelligent shoes, encoders and microprocessors. The outer bones include hip joint parts, thigh mechanical bones, knee joint parts, shank mechanical bones and ankle joint parts. The microprocessors are used for analyzing and processing motion state data generated in the walking process of the outer bones. The exoskeleton gait analysis method based on multi-sensor fusion includes the steps that outer bone motion state data collected by the attitude and heading devices, the intelligent shoes and encoders are subjected to denoising and analysis processing and then transmitted to an upper computer, the upper computer adjusts walking gait and speed according to all outer bone data information, and stability and safety during walking of the outer bones are ensured. The system is simple and light, data collection is efficient, control responding is sensitive, and wearing comfort of the outer bones and safety guarantee ability of a wearer in the walking process are greatly improved.

The invention discloses a rehabilitation evaluation method and system based on a wearable sensor. The method comprises the steps that: for a to-be-detected person, an inertia measurement unit is used for collecting knee joint posture information and calculating the knee joint movement range in the walking process; gait parameters during walking are obtained, and a gait function is estimated; supine straight leg lifting time and prone straight leg lifting time are acquired, and muscle strength information is estimated; and the rehabilitation condition of the to-be-detected person is evaluated on the basis of the knee joint movement range, the gait function and the muscle strength information. According to the rehabilitation evaluation method and system based on the wearable sensor of the invention, a patient can complete rehabilitation evaluation at home; the practicability and reliability of the method and system are high, and the economic burden of the patient is reduced.