VACANCIES > Ongoing Research Projects > Prosthesis & Locomotion
Prosthesis and BCI
Brain Computer Interface (BCI) used to Control the Action and Movement of the Humanoid Robots
In this project we would like to create devices which would allow people to feel embodied, in the body of a humanoid robot. To do so we are trying to develop techniques from Brain Computer Interfaces (BCI) so that we can read the peoples thoughts and then try to see how far we can go from interpreting brain waves signals, to transform them into actions to be done by the robot. By the way all the devices and the helmets that would be able to measure the Brain activity would be available for you.
Project Description
Sensing and actuation technologies for the Manufacturing smart socket prostheses based on the Linear Variable Differential Transducers (LVDT) Based on Clinical Data
In this work, we present an approach for sensing and actuation technologies for the manufacturing of smart socket prostheses based on linear variable differential transducers (LVDT) based on a clinical data. The proposed system utilizes LVDT sensors for measuring the shape of the residual limb and clinical data to optimize the design of the socket. The proposed system is designed to provide a more comfortable and secure fit for the patient, as well as to improve the ease of use and durability of the prosthesis.
Project Description
Surface Pressure Reconstruction for a Prosthetic Socket based on the Linear Variable Differential Transducers (LVDT) Using Clinical Data
In this work, we present a novel approach for reconstructing surface pressure distribution for a prosthetic socket using linear variable differential transducers (LVDT) and clinical data. The proposed system utilizes LVDT sensors embedded within the socket to measure the surface pressure distribution and clinical data to optimize the design of the socket. The reconstructed surface pressure information is used to provide a more comfortable and secure fit for the patient, as well as to improve the ease of use and durability of the prosthesis.
Project Description
Functional prosthetic fingers controlled by EMG and EEG Signals Based on Clinical Data
In this work, we present a novel approach for functional prosthetic fingers controlled by electromyography (EMG) and electroencephalography (EEG) signals based on clinical data. The proposed system utilizes EMG and EEG sensors to measure the muscle and brain activity of the user, respectively, and clinical data to optimize the design of the prosthetic fingers. The signals are then used to control the movement and grip of the prosthetic fingers in a natural and intuitive way, allowing the user to perform daily tasks with ease. The proposed system is designed to provide a more comfortable and secure fit for the patient, as well as to improve the ease of use and durability of the prosthesis.
Project Description