Exploring the deeper insights of Vrikshasana

D. Kishore, B. Divya, N. Manjunath
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Abstract

Vrikshasana is also known as a penance posture as it infuses a deep contemplative meditation effect and self discipline in its practitioner. This classical yoga pose is explored to gain a deeper insight into its origin, practice methods, biomechanics, and artificial intelligence (AI)-based learning in this study. Information related to Vrikshasana from classical yoga texts was considered to understand the symbolical interpretation and method of practice. To obtain the information about biomechanics and AI based learning of Vrikshasana scientific research studies from conference proceedings, published research papers, technical reports, and journals were explored. The practice of Vrikshasana infuses a strong sense of balance and postural stability while improving the strength and endurance in the lower extremity muscles. It helps in preventing the fear of fall that usually occurs as an aging problem. The anatomical and biomechanical insights provided in this study give a wide range of scope to the physiotherapists, yoga therapists, and fitness trainers in their approach to training this pose. The study also highlights the importance of the AI-based approach which promotes self-training to experience the positive benefits of pose practice and equally prevents any injury or the fear of falls.
探索vriksha体式的更深层次的见解
vrikshaasana也被称为忏悔姿势,因为它在练习者中注入了深刻的沉思冥想效果和自律。在这项研究中,这个经典瑜伽姿势的探索是为了更深入地了解它的起源、练习方法、生物力学和基于人工智能(AI)的学习。从经典瑜伽文本中获得的与vrikshaasana相关的信息被认为可以理解象征性的解释和练习方法。从会议论文集、已发表的研究论文、技术报告和期刊中获取vrikshaasana科学研究的生物力学和人工智能学习信息。vrikshaasana的练习注入了强烈的平衡感和姿势稳定性,同时提高了下肢肌肉的力量和耐力。它有助于防止因衰老而产生的对跌倒的恐惧。本研究提供的解剖学和生物力学见解为物理治疗师,瑜伽治疗师和健身教练提供了广泛的范围来训练这个姿势。该研究还强调了基于人工智能的方法的重要性,它促进了自我训练,以体验姿势练习的积极好处,同样可以防止任何伤害或对跌倒的恐惧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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