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Purpose: Exploring the influence of 24-style Tai Chi and Tai Chi eight methods and five steps on the negative emotions of the elderly. Methods: 101 elderly people were divided into 24-style Tai Chi group, Tai Chi eight methods and five steps group, and jogging and fast walking group. 3 times a week, 1 h each time, continuous exercise for 8 weeks. The Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) of each group were observed before and after intervention. Results: There were significant differences in the levels of anxiety (p < 0.001) and depression (p < 0.01) in the 24-style Tai Chi group before and after the experiment, especially the anxiety had reached extremely significant level. There were significant differences in the levels of anxiety (p < 0.001) and depression (p < 0.05) in the Tai Chi eight methods and five steps group before and after the experiment, especially anxiety had reached extremely significant level. There was no significant difference between the anxiety (p > 0.05) and depression (p > 0.05) levels in the jogging and fast walking group before and after the experiment. Conclusion: 24-style Tai Chi and Tai Chi eight methods and five steps can effectively improve the level of anxiety and depression in the elderly and alleviate negative emotions.

Although visual recognition has good recognition accuracy, it brings great hidden danger of privacy leakage. Although signal recognition has the advantages of device-free and privacy protection, it is sensitive to environmental noise and is not suitable for crowded environment, so sensor-based human behavior recognition is a more feasible choice. Therefore, this paper proposes a multi-level decision behavior recognition method based on self-powered wearable sensor fusion. In this paper, we propose a CM-WOA-based automatic dynamic sensor deployment optimization method for the feature extraction of Tai Chi action data. In behavior recognition based on wearable sensors, different deployment schemes of self-powered wearable sensors, will lead to different recognition accuracy, However, the traditional empirical deployment scheme cannot guarantee the best sensor layout. In order to further improve the recognition accuracy. In this paper, we propose a CM-WOA-based autodynamic sensor deployment optimization method for the feature extraction of Tai Chi action data, so as to find a balance between recognition accuracy and sensor deployment cost, and deploy as few sensors as possible on the premise of maximizing recognition accuracy. Finally, by comparing the scheme proposed in this paper with the other seven schemes, The feature extraction and recognition rate of Taijiquan movement data based on self-powered wearable sensor can reach 94%, which proves that the proposed multi-sensor deployment optimization method based on CM-WOA is effective in improving the overall recognition rate of the recognition model.

Traditional Chinese medicine (TCM) is a systematic healthcare system developed from clinical experience based on a scientific model of regulation. TCM relies on unique theories and practices to treat diseases and enhance health. These practices include Chinese herbal medicine and dietetics, acupuncture and moxibustion, and other non-medication therapies such as Chinese bodywork or manual therapy, known as “Tuina”, and traditional biofeedback exercises, known as “Qigong” and “Taijiquan”. The integration of TCM in Western health systems and research requires a rational communicable theory, scientific proof of efficacy and safety, and quality control measures. Understanding the structural concepts of the TCM language makes possible the parallelism to Western physiology, and the inherent rational use of the reflex therapeutic systems, anti-inflammatory mechanisms and mental training involved, for example, in acupuncture and “Qigong”. The results of TCM clinical trials and fundamental research on its nature and mechanisms have encouraged the development and application of well-designed research strategies such as double blinding in acupucture to overcome limitations and resistances in integrating these practices into the existing biomedical paradigms of the West. This review aims to overview some TCM theoretical concepts and the evidence-based clinical application of TCM’s leading practices to create an easy-to-consult and condensed source of information, available for the healthcare community, facilitating the understanding and communication between conventional health professionals and TCM practitioners and acupuncturists.

Analyzing the motion mechanics of Taijiquan trainees’ limbs can help trainees better understand the mechanics of Taijiquan movement and improve their training speed. However, all the current motion mechanics analysis models still have the disadvantage of poor motion mechanics analysis due to inaccurate motion image feature extraction. Therefore, this study utilizes the Ariel performance analysis system and temporal-difference to construct a motion mechanics analysis model to extract motion image features of Taijiquan and analyze its motion mechanics. analysis. The study first experimented with this analysis model. The outcomes indicated that the model achieved 100% accuracy in the extraction of image feature information and 100% accuracy in the analysis of motion mechanics, which was much higher than the comparative analysis model. The model was then used to analyze the motion mechanics of Taijiquan trainees during bending and squatting posture. The results revealed that the larger the knee fixation angle was, the shorter the completion time of the movement was. When the knee fixation angle was 150°, the time taken to complete the starting, fixing and finishing phases of the movement was 11.21 s, 61.21 s and 12.32 s respectively. Moreover, when the trainees performed the movement, the angle of the trainee’s right knee changed gently in the starting phase, while the angle of the trainee’s left knee changed more drastically. In summary, the motion mechanics analysis model proposed in the study is able to accurately analyze the limb motion mechanics of Taijiquan trainees as a means of avoiding various injuries during training.

Background: The growing number of Taijiquan practitioners has sparked considerable curiosity from studies on the responsibility of Taijiquan exercise. Numerous researches have been undertaken using various methods to examine the impact of Taijiquan on physical and mental wellbeing. Objective: The purpose of this paper is to look at the biomechanical effects of Taijiquan practice on athletes’ ability to control their body equilibrium. Methods: 160 athletes (90 experimental groups and 70 control group) were assigned by chance to two groups. There were no significant variations in age, height, weight, or training time. The experimental group undergoes Taijiquan exercises for 8 months. The control group didn’t perform any exercises. After 8 months, athletes in the two groups were tested for the Functional Reach Test (FRT), Stork Stand Test (SST), and plantar pressure measurement (PPM) and paired t-test. Results: The experimental group demonstrated improved FRT, SST, and PPM, indicating that Taijiquan practice improved equilibrium and stability during accomplishment activities. The experimental group demonstrated longer bearing maintenance, stability control, and a smaller average pressure area, indicating more capable pressure. Additionally, creative stability measurements were lower, indicating improved foot stability and control. Conclusion: Overall, the data indicates that the Taijiquan training considerably improves athletes’ body balance organizing ability, with positive impacts on both dynamic and static balance actions.

Learning Tai Chi requires long-term practice and guidance, which is difficult for beginners. This article proposes a Tai Chi-assisted training and scoring method based on motion capture technology and a dynamic time warping (DTW) algorithm. Firstly, by using motion capture technology, the key point data of Tai Chi movements can be accurately captured. Then, using the DTW algorithm, the learner's action sequence is compared and matched with the standard Tai Chi action sequence in order to evaluate the learner's action accuracy and fluency. Learners can promptly correct incorrect actions and improve the accuracy and fluency of their actions. This method has significant advantages in accuracy and reliability. In summary, the Tai Chi-assisted training and scoring method based on motion capture technology and DTW algorithm provides an effective auxiliary tool for Tai Chi learners, which can help them better master the techniques and essence of Tai Chi. This study is of great significance for promoting the popularization of Tai Chi and improving the learning effectiveness of Tai Chi.

Inheriting and promoting Taijiquan, most of the process of oral teaching and teaching by words, the lack of scientific data support, there is an urgent need to standardize the interpretation level measurement standards. In this paper, based on the high-speed infrared motion capture technology, the HelenHayes method is used to select the bony landmarks of human anatomy, establish the coordinate system, and optimize the traditional posture-solving algorithm by using Mahony to design the kinematic and biomechanical analytical model used for the movements of the classical 24-step Taijiquan. The analytical model was used to analyze the kinematics and biomechanics of a total of 6 taijiquan practitioners in both professional and amateur groups. It was finally found that the center of gravity of the taijiquan champion was 0.077, 0.080, and 0.034 during the white crane bright wing movement, and the center of gravity of the three stages of the single whip was 0.062, 0.075, and 0.059, without excessive undulating movements, and basically remained at the same height. In the four stages of the movement, the left hip joint angle of the amateur group has been deviating from the standard, with a maximum deviation of 22.98 degrees, which is significantly different from that of the professional group. This study provides a theoretical basis for the improvement, rationalization, and simplification of Taijiquan movements and scientific experimental data for the standardized teaching and training of these movements.

Objective: The purpose of this study was to determine the effects of practicing Taichi on attenuating bone mineral density (BMD) loss. Methods: Both electronic and manual searches were performed for randomized controlled trials (RCTs) examining Taichi for bone health. Two review authors independently performed study selection and data extraction according to inclusion criteria. A third party (Lin Luo) emerged to discuss with the two review authors and resolve a disagreement. Results: Twenty RCTs were found to meet the inclusion criteria and used for meta-analysis with a total effective sample of 1604. The aggregated results from this systematic review have shown significant benefits in favour of Taichi on BMD at lumbar spine (Standard Mean Difference, SMD) = 0.29; 95% CI 0.15 to 0.43; p < 0.0001), femur neck (SMD = 0.56; 95% CI 0.38 to 0.75; p < 0.00001), femur trochanter (SMD = 0.04; 95% CI 0.01 to 0.07; p = 0.007), total hip BMD (SMD = 0.46; 95% CI 0.16 to 0.76; p = 0.003). Conclusions: The aggregated results from this systematic review suggests that Taichi is effective on attenuating BMD loss at the regions of lumbar spine and proximal femur neck in special populations (e.g., older adults, perimenopausal and postmenopausal women, people with osteoarthritis, and cancer survivors). Researchers should further examine the effect of Taichi on the proximal femur trochanter and total hip so that a more definitive claim can be made regarding the beneficial effects for attenuating BMD loss in these musculoskeletal regions.

As a pearl in the treasury of Chinese traditional culture, taijiquan is the crystallization of the wisdom of the entire Chinese nation and contains a rich cultural connotation. Its role and influence in the field of cross-cultural studies is increasing as China’s comprehensive power grows. This paper aims to promote Chinese civilization and the essence of Taiji culture to the world. Through the artificial intelligence algorithm calculations, the path of international promotion of taijiquan is inferred. By using the implementation of taijiquan teaching programs in groups as a medium to promote the culture of taijiquan from groups to the world in all aspects, thus promoting cultural exchanges around the world and thus promoting the deeper development of Chinese martial arts culture. The results of the experiment showed that students, for example, were very curious about using VR technology to learn taijiquan at 27%. Most of the students were looking forward to learning taijiquan using VR technology, indicating that VR technology in the context of artificial intelligence is important for the public to understand taijiquan and to promote taijiquan internationally.

As a traditional Chinese Wushu integrating various functions such as temperament maintenance, physical fitness, and skill of fighting, Taijiquan takes Taiji thought, the dialectical concept of Yin and Yang in traditional Chinese Confucianism and Taoism as its core ideas. Also, its formation combines the theory of Yin and Yang, five elements of thought in Yi Jing, the theory of TCM meridians and collaterals, as well as the ancient physical and breathing exercises. The international communication of Taijiquan has built a bridge of Chinese excellent Wushu culture and the world. Taijiquan is one of the outstanding representatives of Chinese Wushu culture, and the research of its international communication has a vital significance for understanding the status quo and problems of the traditional culture of our country, and promoting correct understanding of westerns in it. In this paper, the method of computer visualization is adopted to carry out statistical analysis of related journal articles collected in CNKI database in China in the past two decades, which aims at finding the hot topics, research status and research methods of Taijiquan’s international communication, and providing references for future research.