Mobile weight-bearing powered orthosis device

A system for rehabilitation and/or mobility of a user, comprising:

• a hollow frame, comprising an inter-connected lower body and upper body, wherein the upper body comprises a first arm and second arm extending from an interconnecting frame portion of the upper body, the upper body being positioned below the elbows of the user during operation of the system, and wherein the lower body comprises a first arm and a second arm extending from an interconnecting frame portion of the lower body;
• wheels, attached to the lower body of the hollow frame for rolling movement;
• a pelvis support, modularly attached to the hollow frame for distributing at least partial weight of the user to the hollow frame, wherein a weight bearing portion of the pelvis support is positioned between a pair of legs of the user during operation of the system;
• a motorized leg attachment for each leg, each operably attached to the hollow frame, each comprising an attachment for attaching to a leg of the user, and each configured to apply mechanical force to the leg for assisting the natural walking gait of the user, each motorized leg attachment further comprising:
• a knee joint for assisting movement of the user's knee joint, the knee joint comprising a calf attachment, a knee actuator, a first gearbox connected to the knee actuator, the first gearbox configured to convert a motion from the knee actuator into to a rotational motion about a knee flexion extension axis, and
• a hip joint for assisting movement of the user's hip joint, the hip joint comprising a thigh attachment, a hip actuator, a second gearbox connected to the hip actuator, the second gearbox configured to convert a motion from the hip actuator into rotational motion about a hip flexion extension axis, wherein the knee actuator and the hip actuator are both configured to drive the hip joint and the knee joint through a kinematic linkage, wherein the knee joint is attached to the hip joint via an adjustment mechanism to the hip joint, the adjustment mechanism configured to adjust a distance between the knee joint and the hip joint, and wherein the hip joint is attached to the upper body of the frame;
• a first plurality of sensory units for attaching to the legs of the user and a second plurality of sensory units for attaching to the hollow frame, both the first plurality of sensory units and the second plurality of sensory units being configured in combination to detect intended movements of the legs of the user as a particular gait of the user;
• a platform, attached to the hollow frame, comprising a motor control unit (MCU), a single board computer (SBC) for providing instructions to the MCU, and a raised human machine interface operable by the user while standing or sitting, the human machine interface comprising at least a display for showing information and an input device for entering information to adjust control parameters of the MCU via the SBC, wherein the movement of the hip actuator and the movement of the knee actuator are both controlled by one or both of the MCU and the SBC;
• and
• an artificial intelligence based control system for controlling each motorized leg attachment and providing adjustment of the mechanical force applied to each leg to adjust a gait action of each motorized leg attachment based on the intended movements of the legs of the user, the artificial intelligence based control system comprising at least one processor and memory, wherein the artificial intelligence based control system comprises:
• an artificial intelligence based long-term learning system which combines a plurality of sequence learning models to create a deep neural network for customizing the gait action based on at least a disability and user profile data,
• an artificial intelligence based settings recommender engine for using reinforcement learning to improve recommendations for gait settings based on a score assigned by the user, the gait settings determining a plurality of gait trajectories to apply for each of the motorized leg attachments via the mechanical force applied to each leg, and
• an artificial intelligence based control engine which is configured to convert joint data from each motorized leg attachment into different gait phases based on the gait settings and user profile data.