模糊逻辑
计算机科学
手腕
人工智能
康复
计算机视觉
人机交互
心理学
医学
放射科
神经科学
作者
Weihua Lu,Yingying Fang,Wenxin He,Yubo Zhang,Xiaochuan Wang
标识
DOI:10.1109/tfuzz.2025.3592178
摘要
In order to establish the link between rehabilitation experience and patients' emotional feedback to assist decision-making in wrist rehabilitation program, this paper integrates gamified experience and proposes affective evaluation method based on cascaded fuzzy reasoning. Primarily, gamified interactive tasks are developed for wrist rehabilitation training, and the prototype of rehabilitation interactive system is built to collect multi-dimensional physiological signals (MPS). Subsequently, with MPS as input and arousal valence (AV) as output, fuzzy reasoning rule I is defined to establish 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 AV-EL model and visually analyze the emotional state of patients. Lastly, the task completion rate of rehabilitation interaction behavior are 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.
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