46 results about "Gait pattern" patented technology

To implement a dynamic, elegant motion performance of an actual robot, a motion editing system is provided which includes a motion editor to edit motions of an upper body and whole body of the robot and a foot trajectory editor to create a gait pattern and lower-body motion to stabilize the entire robot. The foot trajectory editor includes the same gait pattern generator and motion stabilized as those installed in the actual robot. Before performing the edited motions on the actual robot, the motions are created, corrected and stabilized on a 3D viewer.

A force sensor system for use in monitoring weight bearing on a location. The force sensor system comprises at least one a foot force sensor, a palm force sensor, and a knee force sensor. The foot force sensor comprises a flexible insole containing a plurality of inflatable pockets that are inflated with air or liquid. The palm force sensor and knee force sensor each comprise a wrap to be worn around the palm and knee, respectively. Each wrap comprises a pocket. Each pocket is connected to a tube that, in turn, connects with a pressure sensor and a connector coupling that is remote from the pocket. Each coupling contains a valve. The valve opens to allow inflation and deflation of each inflatable pocket. The pressure sensors measure the air or liquid pressure within each of the inflatable pockets, and convert the corresponding pressure signal into a suitable output signal medium, usually electrical signals. The output signal from the sensors provides accurate real time input data to a weight bearing biofeedback system or to control a stimulator for activation of an electronic orthosis to normalize dynamic gait patterns.

A method, system, and article of manufacture for detecting, recording, quantifying, and classifying gait data. In one embodiment, the method of the invention includes a step of detecting foot contact events using a portable sensor device. Stride data is collected by processing the detected foot contact events to obtain and record gait pattern data. At least one gait stability value is determined from the gait pattern data using a specified gait stability metric. The gait stability value is preferably a mathematical chaos value which is processed utilizing clustering correlation to classify the gait pattern data in association with a neuromuscular status. In a preferred embodiment, fuzzy logic is utilized to correlate the determined gait stability value with a plurality of gait stability values each associated with a distinct neuromuscular status.

A monitoring device having a system and method for detecting deviations in nominal gait patterns is provided. The monitoring device is configured for at least partial insertion within an auditory canal of an individual. The system employed in the monitoring device is comprised of at least an accelerometer configured for measuring acceleration in three orthogonal directions aligned with the principal directions of the body. Gait features values are extracted from the measurements and continuously accumulated, thereby establishing the nominal gait pattern of the individual. Subsequent extractions of current gait features are compared to accumulated gait feature statistics to determine if a deviation in the established nominal gait pattern has been detected.

A walking gait detection apparatus includes a microphone for picking up low-frequency-band sounds that are transmitted through the body of a pedestrian while walking and an analyzer for performing analysis. Accordingly, the gait of the pedestrian is detected. It is also possible to distinguish the gait pattern on the basis of the stance-phase time of a foot sole and the signal intensity, for example. The gait detection apparatus can accurately estimate the stride length on the basis of a detected gait cycle, the height of the pedestrian, and signals detected during walking. On the basis of low-frequency sounds picked up by the microphone while the pedestrian is walking, the pedestrian can be identified.

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 gait generation system of a legged mobile robot, in particular a biped robot that has the dynamic model expressing the relationship between the motion of the body and leg and the floor reaction force, and provisionally determines the current time gait parameters including at least parameters that determine leg trajectory and the like in response to a demand, supposes the parameters of a periodic gait, corrects the current time gait parameters such that the body trajectory determined from the dynamic model and the parameters of the current time gait, etc., converges to a body trajectory determined from the parameters of the periodic gait, and determines instantaneous values of the current time gait based on the corrected current time gait parameter. With this, the system can generates a gait of any stride, turning angle and walking period, including the floor reaction force acting on the legged mobile robot, that satisfies the dynamic equilibrium condition. Further, the system can generates a gait in such a manner that the displacement and velocity of each robot part are continues at the boundary of the generated gait and that succeeding thereto, can generate a gait that is high in the margin of stability, can predict future behavior of the robot and generate a gait such that no disadvantages such as posture divergence occurs.

A method and apparatus for recognizing a gait pattern are provided. The method for recognizing a gate pattern includes: obtaining a walker's foot pressure distribution values through a pressure sensor array disposed at the bottom of a pair of shoes; calculating valid pressure points among the foot pressure distribution values; calculating a center of pressure (COP) movement trace by using the valid pressure points; and recognizing the walker's gait pattern by using the COP movement trace.

To implement a dynamic, elegant motion performance of an actual robot, a motion editing system is provided which includes a motion editor to edit motions of an upper body and whole body of the robot and a foot trajectory editor to create a gait pattern and lower-body motion to stabilize the entire robot. The foot trajectory editor includes the same gait pattern generator and motion stabilized as those installed in the actual robot. Before performing the edited motions on the actual robot, the motions are created, corrected and stabilized on a 3D viewer.

An object of the present invention is to provide a gait pattern generating device by which a gait pattern of a robot such as a humanoid bipedal walking robot having a structure easy to fall down can be generated easily in real time. This device calculates a driving quantity of the center of gravity in one moment using a preview control method based on feedback of the motion state of the center of gravity in that moment, and feed-forward of a future ZMP trajectory up to a few seconds from that moment. Next, the robot is driven to obtain the obtained center-of-gravity trajectory. Thus, a walking motion is attained.

A method for analyzing a gait pattern includes: measuring, by a plurality of force sensing resistor (FSR) sensors, foot pressure values, and outputting the measured foot pressure values, respectively; searching for a maximum pressure local area in which the sum of the output values from the FSR sensors included in each of a plurality of pressure local areas is maximized; calculating a center of pressure (COP) with respect to the detected maximum pressure local area; and analyzing a gait pattern by adding the calculated COP to the trajectory of COPs.

Methods and apparatuses for recognizing a gait task, that may detect a gait pattern of a user based on sensed data, generate a gait feature of the gait pattern based on similarities between the gait pattern and similar gait data extracted from each of a plurality of databases, and estimate a gait task corresponding to the gait pattern by applying the gait feature to a desired learning model, may be provided.

The invention discloses an anti-tailing system using a multi-person detection algorithm based on gait pattern tracking, which comprises a central control module, a data processing module, an information prompting module, an anti-tailing channel, an infrared correlation sensor and blocking devices at an outlet and an inlet of the anti-tailing channel, wherein the anti-tailing channel comprises the inlet and the outlet, and the blocking devices for blocking people from entering and passing are arranged at the inlet and the outlet of the anti-tailing channel. The anti-tailing system using the multi-person detection algorithm based on the gait pattern tracking can carry out accurate and timely judgment on the tailing phenomenon and reduce and even avoid the intervention of staff on duty, and has the advantages of high accuracy, low increased cost and capability of reducing maintenance cost.

A biologically inspired climbing device with toes and spines is provided. The device has toes capable of moving independently from each other. Each toe distinguishes a compliant linkage, which has non-compliant parts and compliant parts. Spines are distributed over each of the toes. The spines have a diameter that is less than or equal to a diameter of an asperity of a surface. The toes with spines could be arranged into one or more feet. The feet could then be organized in legs enabling the device to climb a surface in a gait pattern. The device uses low power and is quiet, leaves no traces or tracks behind, works well on smooth, rough, uneven, porous and dirty surfaces, and is able to carry and support its own body weight.

This invention introduces an indoor person identification system that utilizes the capture and analysis of footstep induced structural vibrations. The system senses floor vibration and detects the signal induced by footsteps. Then the system then extracts features from the signal that represent characteristics of each person's unique gait pattern. With these extracted features, the system conducts hierarchical classification at an individual step level and at a collection of consecutive steps level, achieving high degree of accuracy in the identification of individuals.

A wheeled ambulatory aid for mobility and training which is advanced via bodily contact. Reciprocating UE movement is enabled and reciprocating gait patterns can be performed. The patient mobility aid includes a frame, and at least first and second wheels operatively secured to and supporting the frame for selective rolling movement. First and second support assemblies are located on first and second sides of the frame, respectively. A reverse motion linkage operatively associated with the first and second support assemblies, the reverse motion linkage including a first state configured to provide independent between the first and second support assemblies, and a second state configured to provide interrelated movement between the first and second support assemblies to create symmetrical out of phase reciprocating UE movement. Support assemblies can variably be statically positioned.

A method and apparatus for recognizing a gait pattern are provided. The method for recognizing a gate pattern includes: obtaining a walker's foot pressure distribution values through a pressure sensor array disposed at the bottom of a pair of shoes; calculating valid pressure points among the foot pressure distribution values; calculating a center of pressure (COP) movement trace by using the valid pressure points; and recognizing the walker's gait pattern by using the COP movement trace.

A method, system, and article of manufacture for detecting, recording, quantifying, and classifying gait data. In one embodiment, the method of the invention includes a step of detecting foot contact events using a portable sensor device. Stride data is collected by processing the detected foot contact events to obtain and record gait pattern data. At least one gait stability value is determined from the gait pattern data using a specified gait stability metric. The gait stability value is preferably a mathematical chaos value which is processed utilizing clustering correlation to classify the gait pattern data in association with a neuromuscular status. In a preferred embodiment, fuzzy logic is utilized to correlate the determined gait stability value with a plurality of gait stability values each associated with a distinct neuromuscular status.

A biologically inspired climbing device with toes and spines is provided. The device has toes capable of moving independently from each other. Each toe distinguishes a compliant linkage, which has non-compliant parts and compliant parts. Spines are distributed over each of the toes. The spines have a diameter that is less than or equal to a diameter of an asperity of a surface. The toes with spines could be arranged into one or more feet. The feet could then be organized in legs enabling the device to climb a surface in a gait pattern. The device uses low power and is quiet, leaves no traces or tracks behind, works well on smooth, rough, uneven, porous and dirty surfaces, and is able to carry and support its own body weight.

The gait rehabilitation control system according to the present invention comprises an operation device unit for setting gait training mode of a patient and displaying gait state information of the patient; a gait device unit worn on the patient's feet so as to move along with the gait motion of the patient; and a control unit for driving the gait device unit according to the gait training mode set by the operation device unit, wherein the control unit comprises a gait pattern analysis unit for measuring reaction force between the patient's feet and the gait device unit, and analyzing the gait pattern of the patient with the data of the reaction force.

A gait training apparatus for the mechanical production of a natural gait pattern. The gait training apparatus comprises a first and a second multi-joint mechanism which are mechanically coupled to one another, as well as a drive for the input of a rotatory movement into the first multi-joint mechanism, and a foot support element which is coupled onto the second multi-joint mechanism. The second multi-joint mechanism moreover comprises a longitudinal displacement body which is longitudinally displaceable via a longitudinal guide relative to this and which is connected to the first multi-joint mechanism.

A gait training system has a motor connected to a first linkage system by an actuator. The first linkage system has multiple linkage members connected to multiple joints and an endpoint that is configured to produce a cyclic gait motion when the motor is activated. First and second linkage members have an adjustable length. A method of customizing a gait pattern on a gait training system is also described.

A rehabilitative and / or exercise machine that has a frame with attachments to multiple independent bidirectional resistance devices (pneumatic, hydraulic, spring actuated, pulley system, cam, or any other resistance devices) used by the arms and / or legs to provide resistance against movement of the user's appendages in two substantially opposed directions. The resistance devices may have a mechanism such as one or more valves, brakes, springs, or the like that control bi-directional resistance. The action of the arms and / or legs in bi-directional resistance offers near full body exercise of the agonist / antagonist muscles using flexion and extension action of the larger muscle groups in a gait pattern, simultaneously. Hand engaging members attach to the arm resistance devices and foot engaging members attach to the leg resistance devices. The unit may include an attached inclined backboard, mat, bench, or cushion to fully or partially support the user, such as for the user to sit or lay on. The unit may have separate adjustment mechanisms for adjusting the height and / or length of the various portions of the unit to adjust the range of motion of the appendages. The unit may have devices to monitor pulse, oxygen flow and other vital signs.

Provided is a torque output timing adjustment method and apparatus, wherein an assistance power provided by a walking assistance apparatus is determined based on an output assistance power and a joint angle rate, a pattern of a joint angle rate varies for each user based on a gait pattern varying for each user, and an assistance torque provided to a user is adjusted in response to an adjustment of a torque output timing.

The invention discloses a bionic bearing robot device. The device comprises a carrying table, a rack, three-degree-of-freedom single legs and a control system, wherein the carrying table is arranged at the top end of the rack and is connected with the rack through a hole groove structure in a matched manner; four three-degree-of-freedom single legs are arranged on each of the two sides of the rack, and are arranged in a two-to-two symmetry mode; and the control system involves a pressure sensor, a main control board and a power supply, the pressure sensor is arranged at the joint of the carrying table and the rack, a support is arranged at the central position of the rack, the main control board and the power supply are arranged on the support, and both the power supply and the pressure sensor are electrically connected with the main control board. The bionic bearing robot device is reasonable in structural design and can better adapt to various terrains to better complete carrying tasks, and the gait pattern can be selected autonomously, so that not only is the obstacle crossing capability guaranteed, but also the better carrying capacity and the speed characteristic are achieved.

Gait facilitation and feedback methods and systems capable of providing automatic external cues to facilitate improved gait patterns and increased safety with ambulation. During ambulation of a user over a surface, the system generates and simultaneously projects multiple light beams on the surface in front of the user's line of progression. The light beams project multiple illuminated lines in front of and perpendicular to the user's line of progression during ambulation to thereby project a field projection on the surface that is continuously seen by the user during ambulation and is not dependent on stepping of the user during ambulation.

The gait rehabilitation control system according to the present invention comprises an operation device unit for setting gait training mode of a patient and displaying gait state information of the patient; a gait device unit worn on the patient's feet so as to move along with the gait motion of the patient; and a control unit for driving the gait device unit according to the gait training mode set by the operation device unit, wherein the control unit comprises a gait pattern analysis unit for measuring reaction force between the patient's feet and the gait device unit, and analyzing the gait pattern of the patient with the data of the reaction force.

Methods and apparatuses for recognizing a gait task, that may detect a gait pattern of a user based on sensed data, generate a gait feature of the gait pattern based on similarities between the gait pattern and similar gait data extracted from each of a plurality of databases, and estimate a gait task corresponding to the gait pattern by applying the gait feature to a desired learning model, may be provided.