Marlene Troels F2018
Training assessment and optimization using RoboTrainer and EEG
Project description
Through the RoboTrainer it is possible to extract relevant data, such as force and movement profiles. This data can later be used to create training programs that are customized to the specific user. By regulating the parameters of the robot as a function of external measurements, the training becomes an interaction between robot and human. These external measurements could be a measure of brain activity through EEG, and by combining the training robot and the EEG-measurements, it is possible to obtain biofeedback and to regulate the training intensity as a function of concentration levels.
It is expected that the connection between training and EEG might allow for better assessment and optimization of rehabilitation training, as well as it being a tool for maximizing the training dividend of healthy people. The MindWave headset from NeuroSky as well as the RoboTrainer from the SDU training lab will be used in this project in order to obtain the main objectives listed below.
Objectives
• Examining the most relevant way of recording and assessing EEG during exercise, according to literature and practical experiments.
• Examining the correlation between strength measurements and the level of concentration.
• Developing a program that adjusts the workload as the concentration levels vary.
• Examining the possible use of the findings in relation to training/rehabilitation.
