Review of Acupoints Positioning and Tracking Technology for Chinese Massage Robot

Hao, Chang; Han, Feng

doi:10.4028/www.scientific.net/amr.542-543.741

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The massage robot is a type of service robot, and many countries have conducted related research [13], [14]. Massage technology is more mature, and massage robots have also been designed and developed [15], [16] for applications in stroke rehabilitation [17], lower limb rehabilitation [18], facial disease rehabilitation [19], back massage [20], and other areas. To solve the problems of fatigue and reduced therapeutic effect caused by Tuina massage by long-time physicians, researchers have designed and researched massage robotic systems [21], [22], end effectors [23], [24], and control systems [25].…”

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%

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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“…These strategies enable robots to automatically search and position the pelma acupoint with little real-time computation and storage, and the idea of this paper provides a clue for Chinese medical standardization. Hao and Han [24] introduced the current research progress of Acupoints positioning and tracking technology (APTT), including the APTT based on vision, based on template matching, and based on Back-Propagation neural network, also, the drawbacks of existing techniques and the prospect of APTT were discussed in their paper.…”

Section: Introductionmentioning

confidence: 99%

A Novel Visual Positioning Algorithm for Massage Acupoints Based on Image Registration

Zhang¹,

Yu²,

Hu³

et al. 2023

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The conventional method to locate acupuncture points (acupoints) on human body requires the massagists to have rich experience and skillful performance, and the learning cost is always high. The visual positioning technology of massage acupoints based on image registration can lower the technical difficulty, thereby allowing more people to enjoy and benefit from massage therapy. However, existing algorithms for this technology generally have a series of shortcomings including the unstable matching results, the inaccurate image registration effect, and the unsatisfactory results in case of obvious local deformation or occlusion. In view of these matters, this paper studied a novel visual positioning algorithm for acupoints based on image registration. At first, an Image Acupoints Positioning algorithm was proposed based on Convolution Neural Network (CNN-based IAP algorithm), the algorithm can combine the prior information of acupoint positions in visual images with 3D CNN, which has a stronger feature expression ability, and maintain high positioning accuracy under unfavorable conditions such as image noise, illumination change, or occlusion. Then, based on the structure of Fully Convolutional Network (FCN), a multi-scale parallel FCN was constructed, which has introduced the techniques of multiscale parallel downsampling, spatial pyramid of dilated convolutions, adaptive channel attention mechanism, direction perception, and upsampling, intending to improve the model's performance in non-rigid registration of the visual images of massage acupoints. At last, the validity of the proposed model was verified by experimental results.

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Review of Acupoints Positioning and Tracking Technology for Chinese Massage Robot

Cited by 2 publications

References 3 publications

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

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

A Novel Visual Positioning Algorithm for Massage Acupoints Based on Image Registration

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