A Method for 3D Human Pose Estimation and Similarity Calculation in Tai Chi Videos

Cai, Xingquan; Li, Rui; Zhang, Haoyu; Huo, Yuqing; Sun, Hao; Ji, Jiaqi

doi:10.1142/s0218001423560062

Cited by 2 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cultural heritage is a valuable treasure created and accumulated by human beings throughout a long history, recording information about past lifestyles, ideas, arts, and technologies and reflecting the history, culture, and values of a country [1][2][3]. As an important part of cultural heritage, intangible cultural heritage (from now on referred to as "ICH") contains profound historical values and outstanding creative wisdom.…”

Section: Introductionmentioning

confidence: 99%

AIGC Enabling Non-Genetic Design Methods and Practices

Li,

Ma,

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

Artificial Intelligence Generated Content (AIGC) technology aligns seamlessly with the design requirements of non-genetic heritage, offering a viable pathway for its modernization. This paper delineates the specific design needs of non-genetic heritage and utilizes a diffusion model to create themed images and animations related to this heritage. Additionally, AIGC is employed to enhance the creation of virtual reality interactive imagery. The Long Short-Term Memory (LSTM) network is deployed to classify time-series gesture data, facilitating the training and categorization of Chinese Sign Language (CSL) gestures for virtual interactive engagement with non-heritage themes. We have integrated the AIGC operation process into the theme of non-genetic inheritance, thereby constructing a robust development trajectory for AIGC-enhanced non-genetic heritage. The experimental setup is crafted to ascertain the optimal number of iterations and training durations through the control variable method. We evaluate the efficacy of the diffusion model for anti-implicit writing analysis and the performance of the speech recognition, text dialogue, and text response modules within the non-heritage multimodal interactive framework using Word Error Rate (WER) and Mean Opinion Score (MOS). A descriptive analysis of users’ interactive experiences with non-heritage content is also conducted. The results indicate that the speech recognition module achieved a WER of 0.365, while the text response module garnered an MOS of 4.49 with a standard deviation of 0.56. This multimodal, non-heritage virtual interaction, leveraging multiple modalities, enriches users’ experiences and deepens their understanding and appreciation of non-heritage content. Consequently, this enhances the high-quality development of non-genetic heritage.

show abstract

Section: Introductionmentioning

confidence: 99%

AIGC Enabling Non-Genetic Design Methods and Practices

Li,

Ma,

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…Chinese Tai Chi is a traditional Chinese martial art and popular exercise [26][27][28][29][30]. It is an effective form of rehabilitative training that integrates physical, social, and psychosocial factors to promote general health [1,[30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Professional Development Workshop for Physical Education Teachers in Southwest China: Benefiting Tai Chi Students with Pedagogical Content Knowledge

Man

et al. 2023

Sustainability

View full text Add to dashboard Cite

Researchers have examined the common and specialized content knowledge (CCK/SCK) of physical education (PE) teachers and compared their pedagogical content knowledge (PCK) with student learning outcomes globally. However, little research has been reported in China on the relationship between PCK and student learning in PE settings. The aims of the study were (i) to investigate the influence of teacher content knowledge (CCK/SCK) on student development stages in PE settings and (ii) to examine the impact of teachers’ PCK on students’ performance in Tai Chi techniques (TCTs) after six days of instruction. Two PE teachers were chosen from two urban, public, mid-sized middle schools located in Chengdu, Sichuan Province, China. This study involved 332 students from six 5th and six 6th grade classes. The study consisted of 185 5th-grade students (98 boys and 87 girls) and 147 6th-grade students (70 boys and 77 girls). We examined how teacher PCK and student TCT changed after a professional development workshop (PDW). Each PE teacher had two classes randomly assigned to the control or experimental condition groups. This study had three phases. Initially, the control condition was introduced; then, a PDW was provided for the teachers; and finally, the experimental condition was implemented. Teaching behaviors were described using mean values, and t-tests based on the highest TCT scores were conducted to examine the effect of teachers’ PCK on students’ TCT learning. Furthermore, PCK effect sizes were calculated using Cohen’s d. Significant relationships existed between teachers’ PCK, CK, and students’ knowledge, with effect sizes ranging from 1.92 to 6.82. Additionally, improvements in teachers’ PCK were associated with improved TCT performance in students (p < 0.05). Increased knowledge and skills can improve teachers’ PCK behavior, resulting in improved student performance in TCTs. These findings may provide evidence for future recommendations regarding knowledge and skill training programs for physical education teachers.

show abstract

A Method for 3D Human Pose Estimation and Similarity Calculation in Tai Chi Videos

Cited by 2 publications

References 18 publications

AIGC Enabling Non-Genetic Design Methods and Practices

AIGC Enabling Non-Genetic Design Methods and Practices

Professional Development Workshop for Physical Education Teachers in Southwest China: Benefiting Tai Chi Students with Pedagogical Content Knowledge

Contact Info

Product

Resources

About