Abstract:
An assisting torque setting apparatus and method, wherein the apparatus is configured to generate a reference gait model by applying body information of a user to a predetermined body model, and set an optimal assisting torque by adjusting an assisting torque provided from a walking assistance apparatus to the user based on the reference gait model is disclosed.
Abstract:
A method and apparatus for recognizing a gait motion are provided. The apparatus may set a gait motion recognition period based on measured right and left hip joint angle information, may input, to a trained neural network, right and left hip joint angle information and vertical acceleration information measured during the gait motion recognition period, and may recognize a gait motion.
Abstract:
A motion assistance apparatus may include a first fixing member to be fixed to a portion of a user, a second fixing member to be fixed to another portion of the user, a driving source provided in the first fixing member, a power transmitting member connected between the driving source and the second fixing member, a sensing portion configured to sense a fixing state of the first fixing member or the second fixing member, and a controller configured to control the driving source based on information received from the sensing portion.
Abstract:
Disclosed herein are a walk-assistive apparatus and a method of controlling the walk-assistive apparatus. The walk-assistive apparatus includes at least one joint that corresponds to at least one joint of a wearer, at least one link that connects the joint, and is rotated in response to rotation of the joint, a spring that is mounted in the link or the joint so that a length of the spring is changed in accordance with rotation of the link or the joint, and a processor that controls the change in the length of the spring to compensate for a weight by gravity when the wearer walks.Accordingly, the walk-assistive apparatus and the method of controlling the walk-assistive apparatus may use a mechanical element such as a spring to reduce energy, and weight compensation having uniform performance may be performed even in an arbitrary posture.
Abstract:
A gait assistance apparatus including at least one sensor configured to sense a step motion of a user, and an operator configured to determine assistance forces of a right step and a left step of the user based on step motion information of the user and adjust the assistance force for at least one of the right step or the left step of the user based on a result of proportionally adding together the assistance forces of the right step and the left step based on a variable ratio may be provided.
Abstract:
A wearable device capable of outputting a torque on a user is provided. The wearable device includes a motor, a motor driver circuit, a communication circuit for receiving movement information about a first user from a server or an electronic device, a frame connected to the motor, and worn on a body part of a second user so as to support the lower body, a sensor, and a processor for controlling the motor driver circuit so that motion information about the second user is obtained using the sensor, the difference between the obtained motion information and the received motion information is calculated, torque strength is determined based on the calculated difference, and a torque of a determined torque strength is output by the motor.
Abstract:
A motion assistance apparatus may include a first fixing member to be fixed to a portion of a user, a second fixing member to be fixed to another portion of the user, a driving source provided in the first fixing member, a power transmitting member connected between the driving source and the second fixing member, a sensing portion configured to sense a fixing state of the first fixing member or the second fixing member, and a controller configured to control the driving source based on information received from the sensing portion.
Abstract:
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.
Abstract:
A gait assistance apparatus including at least one sensor configured to sense a step motion of a user, and an operator configured to determine assistance forces of a right step and a left step of the user based on step motion information of the user and adjust the assistance force for at least one of the right step or the left step of the user based on a result of proportionally adding together the assistance forces of the right step and the left step based on a variable ratio may be provided.
Abstract:
A shoe-type device and a method of controlling the shoe-type device are disclosed. The shoe-type device includes a vibrator configured to generate a vibration, a pressure sensor disposed under the vibrator and configured to measure a pressure, and a controller configured to control an intensity of the vibration to be generated by the vibrator based on the measured pressure.