A wearable device, includes a motor, a motor driver circuit, a memory, a sensor, and a processor. The memory is configured to store resistance force generation setting information indicating a difference between a reference angle and each joint angle and a corresponding relationship between respective duty ratios. The processor is configured to obtain, using the sensor, a joint angle of a user and calculate a difference between the reference angle and the obtained joint angle. The processor is configured to obtain a duty ratio corresponding to the calculated difference according to the resistance force generation setting information. The processor is further configured to provide a control signal having the obtained duty ratio to the motor driver circuit to perform control such that a control state of the motor driver circuit is switched between a first control state and a second control state.

The present disclosure discloses a smart walker including a walker body, a first support member, a first sensing device, a second support member and a control device. The walker body includes a fixing member. The first support member and the second support member are connected to both ends of the fixing member, and each of the support members includes a handle, a front leg, and a rear leg. The first sensing device is disposed on a central leg to sense a surrounding environment, thereby obtaining a sensing signal. The control device includes a processor connected to the first sensing device and receives the sensing signal to determine whether an obstacle is present around the smart walker by judging the image.

In one embodiment, the exoskeleton structure is fastened to the body of the user by a brace and at the foot level. The exoskeleton includes at least one set of three joints corresponding to the hip abduction/adduction, the hip flexion/extension and the knee flexion/extension, wherein the architecture of the exoskeleton is compatible with a set of different removable, adaptable and backdrivable actuation units dedicated to each joints and remotely located around the trunk of the user to decrease inertia and mass on the distal segments, wherein each joint can be modularily let free, constrained by a visco-elastic mechanism or actuated by one corresponding actuation unit.

A method for controlling an ambulatory exoskeleton (1) linked to a user (100), comprising the following steps: —measuring only the vertical component (Z.sub.Ng, Z.sub.Nd) of the pressure (R.sub.d, R.sub.g) under each foot (123, 133) of the user (1); —controlling actuators (40, 41, 42, 43) such that the vertical component (Z.sub.Ed, Z.sub.Eg) of the resultant of the balancing forces (R.sub.Eg, R.sub.Ed) applied to the exoskeleton (1) and exerted by each foot (23, 33) of the exoskeleton (1) on the ground is a function of the vertical component (Z.sub.Ng, Z.sub.Nd) of the pressure (R.sub.d, R.sub.g) measured under the corresponding foot (123, 133) of the user (100).

A human-computer interface system having an exoskeleton including a plurality of structural members coupled to one another by at least one articulation configured to apply a force to a body segment of a user, the exoskeleton comprising a body-borne portion and a point-of-use portion; the body-borne portion configured to be operatively coupled to the point-of-use portion; and at least one locomotor module including at least one actuator configured to actuate the at least one articulation, the at least one actuator being in operative communication with the exoskeleton.

Systems and methods for providing assistance with human motion, including hip and ankle motion, are disclosed. Sensor feedback is used to determine an appropriate profile for actuating a wearable robotic system to deliver desired joint motion assistance. Variations in user kinetics and kinematics, as well as construction, materials, and fit of the wearable robotic system, are considered in order to provide assistance tailored to the user and current activity.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

Provided is a method of controlling a wearable robot, the method including: measuring a ground reaction force (GRF) exerted on a wearer's soles; calculating a time variation rate of the measured GRF; measuring the wearer's knee joint angle; and detecting a time point at which the calculated time variation rate of the GRF and the measured knee joint angle cross each other.

A computer-implemented method and a navigation system are described for guiding a visually impaired user to avoid obstructions and impediments while walking. The user may wear a plurality of subassemblies of the system. The tilt and rotation of the user's head may be monitored using one of the subassemblies worn on the user's head. Based at least in part on the tilt and rotation of the user's head, vertical and horizontal firing angles used by a distance measuring unit in each of the subassemblies may be calculated to transmit and receive laser signals to perform measurements. The user is then provided with navigation instructions and alarms based on whether an obstruction or an impediment is detected that is closer than a predetermined distance to the user while the user is walking based on the measurements.

The material contained in this disclosure pertains to robotics related to convertible robots incorporating telecommunication elements. Embodiments of the system and apparatuses described can facilitate instant communication with family and friends, health status monitoring and support from caregivers; and promote optimal health, longevity, and independent living by providing high-tech economical solutions at each stage of the aging process. Embodiments of the system and apparatuses may be converted from an independent telecommunications robot, to a robotic walker, to a robotic wheelchair.