Research and realization of the robot massage evaluation system based on fuzzy set theory

Wang, Tao; Bei, Taixue; Li, Yanping

doi:10.1109/wcica.2010.5554221

Cited by 4 publications

(1 citation statement)

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“…Some researchers have focused on the specificity of service robots and evaluated them in terms of human perception. Wang et al proposed an expert system for robot massage evaluation based on fuzzy set theory [28]. Luo used EEG information to assess the effectiveness of robotic massages [29].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Traditional Chinese Medicine Massage Robot Based on Multi-Information Fusion

Wu,

Gong,

Yang

et al. 2024

IEEE Access

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To modernize traditional Chinese medicine (TCM) and improve the efficiency of Tuina therapy in the rehabilitation of cervical spondylosis. This study aimed to solve the problem of the efficacy of cervical spine Tuina therapy, which lacks objective evaluation standards because it is difficult to provide effective feedback for massage robots. A cervical spine Tuina efficacy assessment model built with functional nearinfrared spectroscopy (fNIRS) data was proposed to evaluate the performance of a multi-information fusion TCM massage robot. The robot combined visual guidance technology, a multi-degree-of-freedom robotic arm, fNIRS, and TCM Tuina techniques to provide a scientific auxiliary diagnostic and therapeutic method for TCM Tuina therapy. The feasibility and effectiveness of the robot were verified through two tests: comparing the subjective scale with the objective fNIRS data and comparing the feelings of the physician's massage with the robot's massage. The accuracy of the efficacy assessment model was greater than 95%.

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Section: Introductionmentioning

confidence: 99%