Disclosed is a structure for therapeutic applications comprising at least one layer with sensor elements and heating elements. A first force affects the layer from one side and a second force affects the layer from the other side. The forces are detectable. The sensor elements can comprise, for example, position sensors, pressure sensors, and temperature sensors.

A walking state measurement system includes: an endless belt that defines a walking surface on which a subject walks and that travels along a walking front-rear direction; a marker provided on at least the walking surface along a circumferential direction of the belt; a first camera for taking an image of the subject from front, the first camera taking an image of the marker on the walking surface from above to generate a first image; a second camera for taking an image of the subject from front, the second camera taking an image of the marker on the walking surface from above to generate a second image; and a correction processing unit that corrects an image generated by at least either the first camera or the second camera based on a position of an image area of the marker included in each of the first image and the second image.

An acquisition unit acquires a classification result obtained by classifying training assistants by performing a cluster analysis based on first rehabilitation data about rehabilitation performed by the trainee by using the rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant and index data indicating a degree of recovery of the trainee. A learning unit generates a learning model, the learning model being configured to input second rehabilitation data including at least the action data indicating an assisting action performed by the training assistant to assist the trainee and output the action data for suggesting a next action to be performed by the training assistant. The learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.

A non-fixed shoulder brace is provided comprising: an affected shoulder support which is supported on an affected shoulder of a wearer; a waist support coupled to the wearer's waist; an affected arm mounting part in which the wearer's affected arm is inserted and which is supported by means of an affected shoulder strap member from the affected shoulder support; and an affected upper limb exercise assistance apparatus coupled to both ends of the waist support and disposed between the wearer's waist and the affected arm mounting part.

A walking training device according to the present embodiment includes: a robot leg attached to one leg of a trainee; a treadmill; a load distribution sensor that detects a distribution of a load received from a sole of the trainee riding on the belt of the treadmill; and a walking state determination unit that determines whether the one leg has switched from a standing state to a swinging state based on a state of increase in a load detected by the load distribution sensor and received from another leg of the trainee performing walking training; and a control unit that starts bending control for the swinging state of the robot leg when the walking state determination unit determines that the one leg has switched from the standing state to the swinging state.

A smart walking assistance device with a walker frame having generally vertical sides and an intersecting front. Wheels located at both ends of a bottom edge of the sides. A soft robotic sensing handle extends in a C shape along the upper edges of the sides and front. The sensing handle has multiple contiguous air filled chambers, each containing a pressure sensor for producing a pressure signal representing the pressure within the chamber. A microcontroller unit receives the pressure signals from the pressure sensors of the handle chambers and determines the status of at least one of the device and a user of the device based on the pressure signals. A stabilization mechanism is driven by the microcontroller so as to stabilize the walker in response to the determined status of at least one of the walker and the user.

Navigation of a mobility aid robot having a camera and gripping part(s) disposed toward different directions is disclosed. The mobility aid robot is navigated to approach a user by identifying a posture of the user through the camera, determining a mode of the robot according to a type of the specified task to be performed on the user and the identified posture of the user, controlling the robot to move according to a planned trajectory corresponding to the determined mode of the robot, and turning the robot upon reaching the desired pose such that the gripping part faces the user, in response to the determined mode of the robot corresponding to the specified task of an assisting type and the user at one of a standing posture and a sitting posture.

A method and device for controlling a walking assist device is disclosed. The method includes determining a first state variable for a gait state of a user wearing the walking assist device based on a gait of the user, obtaining a second state variable which is smoothed and time-delayed from the first state variable, obtaining a third state variable by applying a torque control variable to the second state variable, and determining an assist torque to be provided by the walking assist device based on the obtained third state variable.

The gait motion assisting device according to the present invention replicates movement of user's leg including thigh and lower leg around hip joint by pendulum movement of a rod-like rigid body, estimates hip joint angle and hip joint angular velocity of thigh calculated based on equation of motion of the pendulum movement by a state estimator using angle-related signal received from a thigh orientation detecting means as the observation, calculates the thigh phase angle using the estimated hip joint angle and the estimated hip joint angular velocity, and outputs assisting force having torque value calculated based on the thigh phase angle.

The present invention relates to a movement-dependent stabilisation support system (100) for stabilising a moving body (200), which comprises a plurality of sensors (110), a plurality of actuators (120) and a control unit (130). The plurality of sensors (110) continuously detects movement parameters of the body (200), on which basis the control unit (130) determines whether there is an instability of the body (200). If it is determined that there is an instability, the control unit (130) selects a stabilisation strategy, according to which the actuators (120) are controlled. When controlled, the actuators (120) attached to the body (200) stiffen and limit the freedom of movement of the body (200), such that a movement in the direction of the imminent unstable state is prevented or suppressed. In this way, the body (200) is supported in its stabilisation and an imminent fall is prevented.