63 results about "Walking cycle" patented technology

An Active Ankle Foot Orthosis (AAFO) is provided where the impedance of an orthotic joint is modulated throughout the walking cycle to treat ankle foot gait pathology, such as drop foot gait. During controlled plantar flexion, a biomimetic torsional spring control is applied where orthotic joint stiffness is actively adjusted to minimize forefoot collisions with the ground. Throughout late stance, joint impedance is minimized so as not to impede powered plantar flexion movements, and during the swing phase, a torsional spring-damper (PD) control lifts the foot to provide toe clearance. To assess the clinical effects of variable-impedance control, kinetic and kinematic gait data were collected on two drop foot participants wearing the AAFO. It has been found that actively adjusting joint impedance reduces the occurrence of slap foot, allows greater powered plantar flexion, and provides for less kinematic difference during swing when compared to normals.

A lower extremity exoskeleton, configurable to be coupled to a person, includes: leg supports configurable to be coupled to the person's lower limbs and designed to rest on the ground during stance phases, with each leg support having a thigh link and a shank link; two knee joints, each configured to allow flexion and extension between respective shank and thigh links; an exoskeleton trunk configurable to be coupled to the person's upper body, rotatably connectable to the thigh links of the leg supports, allowing for the flexion and extension between the leg supports and the exoskeleton trunk; two hip actuators configured to create torques between the exoskeleton trunk and the leg supports; and at least one power unit capable of providing power to the hip actuators. In use, power is supplied to the hip actuators in an amount to reduce the energy consumed by a user during a walking cycle.

To carry out step number measurement more precisely even when a walk signal enough to be detected is not obtained. After a fixed noise of a signal detected by an acceleration detecting portion having an acceleration sensor is removed by a filter portion of a counting portion, a walk cycle comparing portion compares a cycle of the resultant signal with a moving average value calculated by a walk cycle calculating portion, and each signal within a predetermined cycle range is counted as the number of steps for one step by a step number counting portion. A signal within a range similar to a cycle n times as large as a predetermined cycle of the signals each beyond the predetermined cycle range is judged as the number of steps for n steps by an extra-regulation step number processing portion and is counted as the number of steps for n steps by the step number counting portion. Data on the number of steps obtained through the counting in the step number counting portion is displayed on a display portion.

The invention discloses an acceleration transducer-based gait identification method, which comprises the following steps: (1) acquisition of a human gait acceleration sequence; (2) walk cycle segmentation and length normalization; (3) extraction and description of key points in a gait acceleration signal sequence; (4) classification of key points; and (5) identification. The acceleration transducer-based gait identity identification method can effectively utilize key information in a human gait acceleration signal to identify a walker who wears an accelerometer.

The invention relates to a footwear sole component and to an article of footwear 2 comprising such a sole component. A sole component is suitably an insole 1 with toe and heel portions 30, 20 connected by an arch portion 40, the sole component being arranged to form part of a sole of a closed article of footwear 2 having a foot chamber 90. The sole component includes at least one compressible passage 11 arranged, in use, to have an opening into a first region of the foot chamber 90 and an opening into a second region of the foot chamber 90 such that air can be caused to travel from passage 11 into a second region of the foot chamber 90, by a pumping effect caused by compression of the passage 11 along at least a part of its extent during a stage of a wearers walking cycle.

An orthotic device that includes an active mechanism to modify the curvature of the arch support and a mechanism to tilt the heel while performing varied activities is provided. The system functions by using both a plantar pressure sensor to measure the reaction forces felt on the device by the foot and determine the position in the walking cycle. A fluid sensor is typically used to determine the pressure in each hydraulic chamber to determine if the pressure in each chamber corresponds with the distribution pattern in the plantar pressure sensor. This device hardens the insole at the point before push-off to create a rigid lever that increases the user's transfer of energy to the ground.

The invention discloses a judgment method, device and system for the exercise postures of lower limbs, and relates to the field of intelligent wearable equipment. The judgment method comprises the following steps: acquiring the sole pressure value of a human body; dividing the walking cycle according to the change of the sole pressure value, and calculating the exercise parameters of the human body; and judging whether the exercise posture of the human body is right according to the exercise parameters. The judgment device is used for executing the judgment method, and the judgment system comprises the judgment device and a wearable device. In the exercise process of a user, through acquiring the sole pressure value of the human body, calculating the exercise parameters of the human body, and judging whether the exercise posture of the human body is right according to the exercise parameters, the judgment method, device and system can instruct the user to exercise in compliance with the right exercise method and exercise posture, thereby achieving a preferable exercise effect and ensuring that the limbs are not injured.

The invention provides a zero-speed detection method based on a hidden Markov model and an indoor pedestrian inertial navigation system. The method comprises the steps of carrying out periodic division on a gait of a human body; obtaining acceleration data, triaxial angular velocity data and triaxial magnetic force intensity of three axes in a walking process of a pedestrian; defining a state value and an observation value of the gait of the human body, initializing a state transition probability matrix, and abstracting zero-speed detection of the pedestrian in the walking process into the hidden Markov model; and optimizing the hidden Markov model by a zero-speed correction algorithm based on a Kalman filter, detecting the angular velocity of the pedestrian in a standing stage to be a zero moment, and predicting a state of the pedestrian at the next stage of walking exercise. According to a zero-speed detection algorithm provided by the technical scheme, the hidden Markov model is adopted, and the walking cycle of the human body is accurately divided, so that the situations of false detection and missing detection are avoided. Optimal estimation is carried out on a system state byusing the zero-speed correction algorithm based on the Kalman filter.

The invention provides a height and motion property based comprehensive measuring method of pedestrian step length. The method is on the basis of three factors, namely, different height, different walking frequency, and acceleration variance within each walking cycle; the vertical acceleration information of a human body is mainly utilized for step length measuring. The method comprises the following steps: acquiring the acceleration at the center of body weight when the human walks through an inertial measurement nit (IMU) worn at the waist of the human body; then calculating the walking frequency and the acceleration variance within each walking cycle according to the acceleration data; finally realizing the step length measuring through the relation between the walking frequency, the acceleration variance, the height and the step length. According to the method, the body properties and the motion properties of different people are comprehensively considered, so that the method has the characteristics of being high in reliability and accuracy, and is applicable to step length measuring and navigation positioning in indoor autonomous pedestrian navigation, and can be applied to the fields such as the gait analysis field, the exercise training field and the health monitoring field.

The invention belongs to the technical field of medical rehabilitation assisted walking, and particularly relates to a power exoskeleton control method, device, computer equipment and storage medium.The power exoskeleton control method includes the steps of obtaining torque-angle ratio of knee joint, obtaining torque-angle ratio of knee joint, the current angle of knee joint, angular accelerationof knee joint, coefficient of assisting power and coefficient of assisting knee joint; when the walking cycle is stand mode, inputting the knee joint angle value, the knee joint torque angle ratio, the knee joint follow-up assist coefficient ratio and the assist level coefficient into the stand physical model to obtain the knee joint torque assist force; when the walking cycle is swing mode, inputting the knee angular acceleration, knee follow-up assist coefficient and assist grade coefficient into the swing physical model to obtain the knee torque assist. By using the dynamic exoskeleton control method, the human motion is enhanced by torque control without planning the trajectory, and the algorithm complexity is simplified.

The invention discloses a step-length-fixed telescopic automatic walking mechanism, belongs to the technical field of automatic walking and particularly relates to a step-length-fixed telescopic automatic walking technology used for detecting the inner wall of a pipeline. The step-length-fixed telescopic automatic walking mechanism is composed of a front shell and a rear shell, wherein the front shell and the rear shell are respectively provided with an elastic supporting structure and a locking mechanism. The front shell and the rear shell are connected together through a threaded rod motor, a threaded sleeve and a guide pillar. In the process of advancing, the locking mechanism of the front shell is unlocked, the locking mechanism of the rear shell is locked, the threaded rod motor rotates to drive the front shell to advance partially by a regulated distance, then the locking mechanism of the front shell is locked, the locking mechanism of the rear shell is unlocked, the threaded rod motor rotates to drive the rear shell to advance partially, and in this way a walking cycle is finished. The maintaining performance and interchangeability are good, automatic walking can be performed well, the walking distance is high in uniformity each time, the automation degree is high, positioning precision is high, and reliability is high. Meanwhile, time, efforts and labor are saved, and it is guaranteed that the surface quality of the inner wall of the photoelectric instrument detection pipeline is accurate and comprehensive.

The invention provides a stride calculation system. The stride calculation system is provided with a walker configured to assist a user in walking, and a calculation device. The walker is provided with a walking-related data acquisition unit that acquires walking-related data relating to walking of the user using the walker, and the calculation device acquires walking cycle data relating to a walking cycle of the user on the basis of the walking-related data, and calculates the stride of the user on the basis of the walking-related data and the walking cycle data. The stride calculation systemaccording to this configuration is capable of accurately determining the degree of improvement in the walking ability of a user.

The walking motion display system (1) is provided with: a 3-axis acceleration sensor (10) that is attached to a subject (2) and measures acceleration data of the subject (2) while the subject (2) is walking; an imaging unit (20) that obtains video data showing the walking motion of the subject (2) by imaging the walking subject (2); a recording unit (31) that synchronizes and records the acceleration data and the video data; an identifying unit (33) that converts the acceleration data recorded by the recording unit (31) into horizontal displacement data and vertical displacement data and identifies an image corresponding to a representative motion during a walking cycle from the video data on the basis of the horizontal displacement data or the vertical displacement data; and a display unit (34) that also displays the image identified by the identifying unit (33) in the graphical view of the representative motion during the walking cycle.

The invention relates to a gait recognition method based on an average differential image, which is applied to gait recognition in a fixed background when a single person walks pass a camera successively. The method comprises following steps: image framing is carried out; a background image is obtained; the contour of a human body is extracted; after each frame of human body contour binary image is subjected to edge clipping, the centroid of each frame of contour is calculated, centroid alignment is carried out, and a centroid alignment contour is obtained; a walking cycle is calculated; in view of the centroid alignment contour in each walking cycle, a differential image between adjacent two frames is calculated; the differential images in multiple walking cycles are overlapped, an average value is obtained, and an average differential image is obtained; features of the average image are extracted; a principal component analysis method is used to calculate the feature value of each average image, the feature values are sorted by absolute values from large to small, and former d feature values with the maximum absolute value are obtained to form a feature vector; and through a nearest neighbor algorithm, gait recognition is carried out.