AUTHOR(S): Beauty Mondal, Mimu Seikh and Awashes Subba

ABSTRACT:
Yogasana assessment has traditionally relied on subjective observation, which limits standardisation, reproducibility, and scientific comparability. With the growing integration of movement science and technology, objective evaluation of yogasana performance has gained increasing attention. This narrative review aims to synthesise existing evidence on objective measurement approaches and normative concepts relevant to yogasana performance evaluation. Literature from sports performance analysis, biomechanics, motion capture, and computational pose recognition was examined to identify methodological trends, measurement variables, and gaps in normative standardisation. The reviewed studies demonstrate that yogasana performance can be quantified using reliable indicators such as joint kinematics, postural alignment, balance control, and movement stability through video analysis, three-dimensional motion capture, wearable sensors, and machine learning systems. Despite technological advances, most research remains focused on posture recognition or descriptive kinematic analysis, with limited emphasis on developing objective, population-based normative reference values. Evidence highlights that normative profiling and normalisation for anthropometric variation are essential for meaningful performance interpretation, comparison, and progression monitoring. The absence of such objective-based norms restricts the scientific and applied value of current yogasana assessment methods. This review concludes that integrating objective measurement techniques with standardised normative frameworks is necessary to advance yogasana as an evidence-based discipline, supporting reliable evaluation, instructional quality, and future research consistency.

DOI: https://doi.org/10.22271/yogic.2025.v10.i2i.1851

Pages: 662-665  |  86 Views  38 Downloads