A learning unit of a learning system generates a learning model, the learning model being configured to input rehabilitation data about rehabilitation and predict feedback control to be performed, the rehabilitation being performed by a trainee using a rehabilitation support system. The rehabilitation support system performs the feedback control based on motivation information of the trainee. The rehabilitation data includes at least training data including the motivation information of the trainee and feedback information indicating the feedback control. The learning unit generates the learning model by using, as teacher data, the rehabilitation data that is obtained when the motivation information is one that causes such a change that the motivation of the trainee is improved.

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 rehabilitation training system includes: an evaluation unit configured to evaluate rehabilitation training performed by a trainee; a storage unit configured to store a plurality of evaluation comments regarding the evaluation; a reception unit configured to receive, from an authorized training assistant, designation of an evaluation comment that is restricted from being presented to a specific trainee among the plurality of evaluation comments; a selection unit configured to select an evaluation comment to be presented to the specific trainee from the plurality of evaluation comments based on the evaluation for the rehabilitation training of the specific trainee that is performed by the evaluation unit and the designation; and a presentation unit configured to present the evaluation comment selected by the selection unit.

Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

An exoskeleton system comprising at least one actuator unit that includes a fluidic actuator; an exoskeleton device including a fluidic system, and electronics; and a first cable extending from the exoskeleton device to the at least one actuator unit.

The knee joint weight-bearing apparatus includes a buttock attaching part, a lower-leg attaching part, and two thigh connection units. Each thigh connection unit includes a front thigh link and a rear thigh link. The buttock attaching part, the lower-leg attaching part, the front thigh link, and the rear thigh link constitute a four-bar linkage. The buttock attaching part is configured so that when a user applies his/her weight to the buttock attaching part, a tensile force is generated in the front thigh link and a compressive force acts on the rear thigh link. The rear thigh link includes a gas spring that is configured to be stretchable in a longitudinal direction thereof and generates a resistive force against the compressive force.

The present invention discloses a soft knee exoskeleton driven by a negative-pressure linear actuator, including: an exoskeleton controller, a left leg knee joint soft actuator, a right leg knee joint soft actuator and the like. The soft knee exoskeleton mainly uses a miniature vacuum negative pressure pump as an air pressure power source. A DSP embedded control system performs real-time processing on the data, such as a muscle force, a knee joint angle and a human-machine interaction force, detected by a sensing system, estimates a human-machine cooperation state, and performs real-time control on the switching of the negative pressure flow and an air channel of the miniature vacuum negative pressure pump.

The present disclosure is relates to an orthosis device. The orthosis device, in one embodiment, includes an actuator housing, and an electric motor coupled to the actuator housing, the electric motor including a motor stator and a motor rotor, and the electric motor further having high output torque. The orthosis device, in this embodiment, further includes a low-ratio transmission coupled to the actuator housing, the transmission including a gear system coupled to the actuator housing, and a drive system coupling the electric motor and the gear system, wherein a combination of the electric motor and transmission provide a user backdrivable orthosis device.