Abstract:
A walking assistance method may include receiving at least one abnormal gait type selected from a plurality of abnormal gait types, and differently controlling a walking assistance apparatus based on the at least one abnormal gait type.
Abstract:
Sensor devices closely attached to a body of a user, and walking assist devices such sensor devices may be provided. For example, a sensor device including a sensor configured to sense physical information of the user, and a support configured to provide an elastic force to the sensor such that the sensor closely attached to the body regardless pf a movement of the user, and enable the sensor to sense the physical information of the user with relative accuracy may be provided.
Abstract:
A method and apparatus for controlling a walking assistance apparatus are provided. The apparatus may include a detector configured to detect a first step of a user, based on measured right and left hip joint angle information, a reconstructor unit configured to reconstruct knee joint information matched to the right and left hip joint angle information based on knee joint trajectory information in response to the user's steps, and a torque generator configured to generate a first torque applied to a first leg corresponding to the first step. The torque generator may generate the first torque, based on a second torque applied to a second leg that is opposite to the first leg and that corresponds to a second step preceding the first step.
Abstract:
A method and apparatus for recognizing a motion of a user are provided. The apparatus may map each of right leg angle information and left leg angle information to context information by comparing each of the right leg angle information and left leg angle information to a comparison value and/or preset threshold, may generate a motion event corresponding to the context information based on a criterion, and may recognize the motion of the user based on the motion event and a previous motion of the user.
Abstract:
A balance training method using a wearable device, and the wearable device are disclosed. The balance training method using the wearable device configured to provide a walking assist function includes executing a balance training mode of the wearable device and supplying an irregular pattern torque to an actuator of the wearable device at a time point or in a time period in the balance training mode.
Abstract:
A gait state recognizing apparatus may include an inertial measurement unit (IMU) sensor configured to measure a movement of at least one leg of a user and a processor configured to calculate a rotation angle and an angular velocity of the at least one leg based on the measured movement of the at least one leg, and the processor may be configured to calculate the rotation angle of the at least one leg relative to a direction of gravity from the movement of the at least one leg and the angular velocity of the at least one leg relative to the direction of gravity based on a trend of the rotation angle.
Abstract:
A walking assistance method may include receiving at least one abnormal gait type selected from a plurality of abnormal gait types, and differently controlling a walking assistance apparatus based on the at least one abnormal gait type.
Abstract:
A method and apparatus for controlling a walking assistance apparatus are provided. The apparatus may include a detector configured to detect a first step of a user, based on measured right and left hip joint angle information, a reconstructor unit configured to reconstruct knee joint information matched to the right and left hip joint angle information based on knee joint trajectory information in response to the user's steps, and a torque generator configured to generate a first torque applied to a first leg corresponding to the first step. The torque generator may generate the first torque, based on a second torque applied to a second leg that is opposite to the first leg and that corresponds to a second step preceding the first step.
Abstract:
A method and apparatus for recognizing a motion of a user are provided. The apparatus may map each of right leg angle information and left leg angle information to context information by comparing each of the right leg angle information and left leg angle information to a comparison value and/or preset threshold, may generate a motion event corresponding to the context information based on a criterion, and may recognize the motion of the user based on the motion event and a previous motion of the user.
Abstract:
Electronic devices may determine tasks of interpreting information sensed by sensors, for example, recognition tasks, and operations to be performed by the electronic devices, for example, control tasks, based on types of connected electronic devices. Information sensed by one of the connected electronic devices may be shared with another electronic device, and the other electronic device may perform an operation based on the shared information. A task of interpreting information sensed by a sensor of one of the connected electronic devices may be performed based on a format suitable for being used by another electronic device. Furthermore, the electronic devices may select an electronic device to perform the determined recognition tasks and the determined control tasks based on resource states of the electronic devices.