Distinguishing levels of challenge from physiological signals for the robot-assisted rehabilitation system, RehabRoby

Emotion Recognition using EEG and Physiological Data for Robot-Assisted Rehabilitation Systems

“…The first contribution of this study is the evaluation of the classification accuracies when we use only one single sensor information compared to multi-sensor fusion. The second contribution of the study is to develop an emotion recognition model, which will integrated into robot-assisted rehabilitation system RehabRoby [33][34][35]. The expectation from the emotion recognition system is to understand how patients feel (positive, negative or neutral) when they are using the RehabRoby [33][34][35].…”

“…The second contribution of the study is to develop an emotion recognition model, which will integrated into robot-assisted rehabilitation system RehabRoby [33][34][35]. The expectation from the emotion recognition system is to understand how patients feel (positive, negative or neutral) when they are using the RehabRoby [33][34][35]. This developed emotion recognition model will be integrated into the RehabRoby to increase the engagement level of stroke patients during the rehabilitation therapies by looking at the emotional states of the patients.…”