A Real-time Graphic Interface for the Monitoring of the Human Joint Overloadings with Application to Assistive Exoskeletons

This work presents an intuitive graphic interface to make its users aware of potentially risky body configurations while being exposed to external loads. Employing an algorithm we proposed in a recent work, we estimate the human joint torque overloading caused by an external force. This information is used as an input for the graphical interface to provide the user with an intuitive feedback about the strain on each joint. Hence, the users can be aware of the loading states, react to them accordingly, and minimise the risk of injuries or chronic pain. This graphical interface can help the users learn and achieve more ergonomic configurations during industrial job duties.