Affective Evaluation Based on Gamified Experience and Cascaded Fuzzy Reasoning for Wrist Rehabilitation

Abstract

In order to establish the link between rehabilitation experience and patients’ emotional feedback to assist decision making in a wrist rehabilitation program, this article integrates a gamified experience and proposes an affective evaluation method based on cascaded fuzzy reasoning. Primarily, gamified interactive tasks are developed for wrist rehabilitation training, and the prototype of a rehabilitation interactive system is built to collect multidimensional physiological signals (MPSs). Subsequently, with the MPS as input and arousal valence (AV) as output, fuzzy reasoning rule I is defined to establish the MPS-AV model and calculate the value of AV. Besides, with AV as input and emotion label (EL) as output, fuzzy reasoning rule II is defined to establish the AV-EL model and visually analyze the emotional state of patients. Finally, the task completion rate of rehabilitation interaction behavior is calculated based on behavior coding, and the effectiveness of the proposed affective evaluation method is verified by integrating subjective evaluation. The gamified rehabilitation experience and the affective evaluation method based on cascaded fuzzy reasoning provide methods and experiences for wrist-rehabilitation-related products and services, and this protocol can also be generalized in the field of rehabilitation digital therapy.