14 results about "Repetitive motion" patented technology

An apparatus and method of controlling a repetitive motion linear actuator (RMLA) accepts a minimum repetition rate and a commanded repetition rate. If the commanded rate is greater than the minimum rate, the RMLA automatically operates in a speed scaling mode by continuously applying the cycles and scaling the cycle length to provide the commanded rate. If the commanded rate is less than the minimum rate, the RMLA automatically operates in a dwell mode by fixing the cycle length and discontinuously applying the cycles, while adjusting a separation between the cycles to provide the commanded rate. In dwell mode, the cycle length can be equal to its maximum allowed value Tmax, or can equal a desired value less than Tmax. The cycle can have any profile shape, such as a sinusoidal shape or a shape that includes periods of deceleration and acceleration separated by constant speed periods therebetween.

Follow robots, comprehensive: a movable arm (10a); at least one vision sensor (50) provided on the arm (10a); a feature value storage unit which stores at least one position and one orientation of a subsequent target (102) as target data to cause the vision sensor (50) provided on the arm (10a) to follow the subsequent target (102); a feature value detection unit which, by using an image captured by the vision sensor (50), detects at least one second feature value relating to the actual position and orientation of the subsequent target (102); a motion dimension calculation unit that calculates a motion instruction for the arm (10a) based on differences between the second feature values ​​and the first feature values ​​and that sets the motion instruction by using at least one forward control; a motion instruction unit that moves the arm (10a) based on the motion instruction; and an input value storage unit that stores a signal that is detected when a specific movement of the follower target (102) is initiated, and an input value for forward control to cause the arm (10a) to follow a trajectory of the follower target (102) in the specific movement in association with each other, where the motion magnitude calculation unit and the motion instruction unit, while the vision sensor (50) follows the subsequent target (102), repeat the motion instruction calculation and move the arm (10a) based on the motion instruction, the movement instruction is intended to reduce or eliminate differences between at least the actual position and orientation of the subsequent target (102), which serve as the second feature values, and at least the position and orientation of the subsequent target (102), which serve as the first feature values, and The motion amplitude calculation unit uses forward control based on the input value stored in the input value storage unit in association with the signal that is detected when the specific movement has started.

System for determining the amount of pressure applied to a brush head (12) and for providing feedback to a user as soon as a measured pressure reaches a predetermined threshold, the system comprising: a brush head (12); a drive unit (14) connected to the brush head (12), wherein the drive unit (14) has a drive shaft (42) which is activated to move the brush head (12) relative to the drive shaft (42); a magnet (60) which moves in a repeating manner as a function of the movement of the drive shaft (42); a Hall effect sensor (62) which generates a signal based on the movement of the magnet (60); a feedback device; and a microprocessor (64) connected to the Hall effect sensor (62) and the feedback device, wherein the microprocessor (64) is programmed to activate the feedback device as a function of the change in the speed of movement of the magnet (60), wherein the movement of the drive shaft (42) is a rotational movement, wherein the movement of the drive shaft (42) is an oscillating rotational movement about an axis, and wherein the microprocessor (64) generates a signal based on the change in the rotational speed of the drive shaft (42).

A horizontal pendulum squat system includes a frame structure having at least one or more bottom members and one or more substantially vertical members supporting a cross bar; a weight pivoting system supported by the cross bar to rotate at one or more connection points with the cross bar, the weight pivoting system having weight arms connected at the connection points such that the weight arms can rotate about the connection points; and at least one platform coupled to the weight arms, the at least one platform is to receive a user applied force; a bench positioned substantially underneath the weight pivoting system; the platform is positioned to receive the user applied force while the user is lying on the bench and applying the force with their legs and feet against the platform; and the weight pivoting system rotates around the connection points during repetitive motion by the user.

The present invention relates to the field of breast mass measurement. Provided are a breast mass measurement method and system based on the mechanical interaction between breasts and a bra. The breast mass measurement method comprises: a subject wearing a measurement bra and performing repeated movements that cause the regular longitudinal displacement of the breasts, and measuring the vibration acceleration a of breast vibrations relative to the chest cavity during the movements; synchronously measuring a shoulder strap pressure P on contact positions between shoulder straps and the shoulders of the subject during the movements; and performing calculation to obtain the breast mass of the subject on the basis of the vibration acceleration a and the shoulder strap pressure P. The breast mass measurement method of the present invention can prevent measurement results from being affected by factors such as the posture of the subject, the sagging of the subject's breasts, and the age difference of the subject. Furthermore, this method also prevents visits to places such as hospitals for breast mass measurement, thereby reducing the measurement cost, and significantly improving the practicability and convenience of breast mass measurement.

One aspect of the invention provides a computer-based method for providing corrective feedback about exercise form, the method comprising; recording a user performing a specific exercise: evaluating, by the computer, with machine learning, computer vision, or deep learning models that have been previously trained in order to evaluate the form of a user by training on labelled and or unlabeled datasets that consist of: both correct and incorrect exercise form for the different types of exercises being evaluated; identifying the user throughout the video, the exercise type, each repetition of the exercise, the user's errors in form; and then generating, by the computer, corrective feedback for the user on how to improve exercise form for subsequent repetitions; and communicating, via an output device, the corrective feedback to the user.

Systems, devices, and methods described herein may involve receiving movement data associated with a subject, the movement data collected during repetitive movement of the subject; generating a phase portrait based on the movement data; calculating a phase portrait metric of a characteristic of the phase portrait; and assigning the subject to a movement phenotype based on the phase portrait metric.

Disclosed herein is an apparatus and method for counting repetitive movements based on Artificial Intelligence. The method may include generating standard movement information that includes a key pose extracted from a demonstration movement image stream based on human skeleton information, which is a set of pieces of positional information of human joints, and major joint information in the key pose and counting repetitive movements depending on whether a user movement matches the standard movement information based on human skeleton information of a user movement image stream.

An apparatus and method to evaluate the endurance of a muscle group of a user by measuring velocities of an engagement assembly coupled to a resistance element and moved by the user through a plurality of exercise strokes. A muscle group is assessed by determining a rate of fatigue for the muscle group. The method can include adjusting the controllable resistance to a resistance level, monitoring the movement of the engagement assembly against the resistance level over a plurality of repetitions, determining a relationship between the movement of the engagement assembly by the user over the plurality of repetitions, and using the relationship to determine the rate of fatigue.

A skeleton detection system includes a first storage unit that stores reference motion information related to at least one cycle of a reference motion that is a repetitive motion performed by a worker; a skeleton information detection unit that detects skeleton information of the worker from a dynamic image of the worker in a work; and a target determination unit that determines, as a target, skeleton information of the worker indicating a motion satisfying a target necessary condition in each of the skeleton information of a plurality of workers in the work detected by the skeleton information detection unit, the target necessary condition being that a difference between the reference motion information and check target information that is motion information in the work is within a predetermined motion allowable range.

When comparing and analyzing multiple recordings of repetitive movements, there is no means to dynamically switch the reference point for synchronized playback. Therefore, it was difficult to recognize the discrepancies between movements that appeared different depending on the selection of the reference point, and to identify their causes. [Solution] The system accepts multiple time-series media data, each recording multiple repetitive actions, with multiple reference point candidates assigned to each recording. It displays these data in parallel or superimposed, and presents the reference point candidates on a timeline. For each type of reference point candidate, the system calculates the median time position across multiple recordings as the representative position, and sets intervals on the timeline using the midpoint between adjacent representative positions as boundaries. The system designates the reference point candidate corresponding to the interval to which the user's input location belongs as the reference point, and realigns all recordings to the time position of that reference point to update synchronized playback.

An apparatus and method for controlling a repetitive motion linear actuator (RMLA) accommodates a minimum repetition rate and a commanded repetition rate. If the commanded rate is greater than the minimum rate, the RMLA operates automatically in a rate scaling mode by applying cycles continuously and scaling the cycle length to provide the commanded rate. If the commanded rate is less than the minimum rate, the RMLA operates automatically in a hold mode by fixing the cycle length and applying cycles discontinuously while adjusting the separation between cycles to provide the commanded rate. In the hold mode, the cycle length may be equal to the maximum allowable value (Tmax) or equal to a desired value smaller than Tmax. The cycles may have any profile shape, such as a sine wave or a shape including deceleration and acceleration periods separated by constant rate periods between them.

The application discloses a kind of based on recursive neural network multi-mobile arm cooperative control method, its method includes the following steps: a. the hardware parameter of mobile manipulator's moving platform and mechanical arm is measured;B. according to the demand design multiple mobile manipulator cooperative movement desired trajectory function;C. based on D-H parameter method and mobile manipulator overall model, the kinematics equation of mechanical arm end effector about world coordinate system is obtained;D. for multiple mobile manipulator cooperative control problem, a distributed communication scheme is used, and a quadratic programming problem with repetitive motion as objective function and distributed cooperative control as equality constraint is constructed;E. recursive neural network is proposed to solve the quadratic programming problem of multiple mobile manipulator cooperative control with noise disturbance.The application uses the distributed scheme for repetitive motion, can be under the condition that each mobile manipulator is limited between each other Communication, cooperative movement is completed given main task, and reaches optimum under repetitive motion optimization index.

The invention relates to method for calibrating a head-mounted device (1), the head-mounted device (1) comprising a frame (2) and at least one sensor (4) mounted on the frame (2), for measuring position and / or motion, the method being implemented while the head-mounted device (1) is worn on a wearer's head, the method comprising steps of: —detection (DET) of a known repetitive movement pattern of the wearer's head by the sensor (4), —acquisition (ACQ) of three-dimensional motion data by the sensor (4), —selection (SEL) of data relative to the movement pattern from the motion data, —numerical treatment (NUM) of the selected data to obtain a reference base relative to the wearer's head, and —calibrating (CAL) the sensor (4) based on the obtained reference base.