Kinematics, dynamics, and muscle-synergy analysis of single-leg Yoga postures

Menegaldo, Luciano Luporini; Pinto, Dafne Pires; Oliveira, Henrique Lelis Clemente de; Moreira, Pedro Vieira Sarmet

doi:10.1007/s11044-023-09887-8

Cited by 2 publications

(6 citation statements)

References 47 publications

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“…These coordinates offer insights into the spatial positioning of key body parts during the execution of each pose. For instance, in the Downward Dog pose, the shoulders are estimated to be located at coordinates (10,20), indicating a higher elevation compared to the hips, which are at coordinates (15,10). Similarly, in the Tree Pose, the hips are estimated to be at coordinates (8,5), with the knees slightly forward at coordinates (10, 2), and the ankles grounded at coordinates (12, 0).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Each body segment is associated with joint angles, segment lengths, and estimated coordinates (x, y) of feature points. For example, in the Upper Arm segment, a joint angle of 90 degrees is observed with a segment length of 30 cm, resulting in an estimated coordinate of (15,20) for the feature point. Similarly, in the Forearm segment, a joint angle of 135 degrees and a segment length of 25 cm lead to an estimated coordinate of (20,10) for the feature point.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Anybody Simulation is a groundbreaking technological advancement revolutionizing the realms of virtual reality and artificial intelligence [1]. Developed as an interdisciplinary endeavor merging principles from computer science, cognitive psychology, and robotics, the Anybody Simulation platform offers a sophisticated emulation of human behavior and cognition within digital environments [2].…”

Section: Introductionmentioning

confidence: 99%

“…Within the realm of yoga practice, the kinematic characteristics of asanas play a fundamental role in determining their efficacy and safety [15]. Anybody Simulation, with its advanced motion capture capabilities, offers a unique lens through which these characteristics can be thoroughly examined and understood.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Geometric Co-Ordinate Feature Point Estimation (Gfpe): A Novel Approach to Analyse Of Kinematic Characteristics of Yoga Asanas Based on Anybody Simulation Software

Guan

2024

jes

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The kinematic characteristics of yoga asanas is crucial for comprehending the biomechanical demands and benefits associated with these postures. Utilizing AnyBody simulation software, researchers delve into the intricate movements and alignments involved in various yoga poses. Through advanced biomechanical modeling, AnyBody allows for the analysis of joint angles, muscle activations, and forces exerted on the body during asana practice. This paper presented an analysis of the kinematic characteristics of yoga asanas using AnyBody Simulation in conjunction with Geometric Co-ordinate Feature Point Estimation (GFPE). By integrating advanced biomechanical modelling capabilities of AnyBody with GFPE’s precision in identifying geometric features, this study aims to elucidate the intricate movements and alignments inherent in various yoga poses. Through comprehensive simulations, joint angles, muscle activations, and forces exerted on the body during asana practice are meticulously analyzed. The examination of body posture with GFPE in the downward-facing dog pose, the average joint angles of the shoulder, elbow, and wrist were found to be 130°, 150°, and 160°, respectively. Additionally, muscle activation levels were measured, with the triceps brachii exhibiting an average activation of 70% of maximum voluntary contraction during the pose.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Geometric Co-Ordinate Feature Point Estimation (Gfpe): A Novel Approach to Analyse Of Kinematic Characteristics of Yoga Asanas Based on Anybody Simulation Software

Guan

2024

jes

View full text Add to dashboard Cite

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“…The muscle synergies were derived from the EMG signals recorded during the execution of standing yoga poses. [ 86 ] The study shows that individuals who practice yoga employ a reduced number of muscle synergies, which exhibits a positive correlation with their center of pressure trajectory. This finding indicates a decrease in control complexity among yoga practitioners.…”

Section: Resultsmentioning

confidence: 99%

Reducing Stress with Yoga: A Systematic Review Based on Multimodal Biosignals

Khajuria,

Kumar,

Joshi

et al. 2023

International Journal of Yoga

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Stress is an enormous concern in our culture because it is the root cause of many health issues. Yoga asanas and mindfulness-based practices are becoming increasingly popular for stress management; nevertheless, the biological effect of these practices on stress reactivity is still a research domain. The purpose of this review is to emphasize various biosignals that reflect stress reduction through various yoga-based practices. A comprehensive synthesis of numerous prior investigations in the existing literature was conducted. These investigations undertook a thorough examination of numerous biosignals. Various features are extracted from these signals, which are further explored to reflect the effectiveness of yoga practice in stress reduction. The multifaceted character of stress and the extensive research undertaken in this field indicate that the proposed approach would rely on multiple modalities. The notable growth of the body of literature pertaining to prospective yoga processes is deserving of attention; nonetheless, there exists a scarcity of research undertaken on these mechanisms. Hence, it is recommended that future studies adopt more stringent yoga methods and ensure the incorporation of suitable participant cohorts.

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Kinematics, dynamics, and muscle-synergy analysis of single-leg Yoga postures

Cited by 2 publications

References 47 publications

Geometric Co-Ordinate Feature Point Estimation (Gfpe): A Novel Approach to Analyse Of Kinematic Characteristics of Yoga Asanas Based on Anybody Simulation Software

Geometric Co-Ordinate Feature Point Estimation (Gfpe): A Novel Approach to Analyse Of Kinematic Characteristics of Yoga Asanas Based on Anybody Simulation Software

Reducing Stress with Yoga: A Systematic Review Based on Multimodal Biosignals

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