A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions

TL;DR

This comprehensive survey reviews over a decade of research in Action Quality Assessment, analyzing trends, challenges, and future directions to guide researchers in this rapidly evolving field.

Contribution

It systematically synthesizes over 200 studies in AQA, providing a detailed overview of methodologies, datasets, and research trends using the PRISMA framework.

Findings

Identified key research trends and performance benchmarks.

Highlighted current challenges and gaps in AQA methodologies.

Outlined promising future research directions.

Abstract

Action Quality Assessment (AQA) -- the ability to quantify the quality of human motion, actions, or skill levels and provide feedback -- has far-reaching implications in areas such as low-cost physiotherapy, sports training, and workforce development. As such, it has become a critical field in computer vision & video understanding over the past decade. Significant progress has been made in AQA methodologies, datasets, & applications, yet a pressing need remains for a comprehensive synthesis of this rapidly evolving field. In this paper, we present a thorough survey of the AQA landscape, systematically reviewing over 200 research papers using the preferred reporting items for systematic reviews & meta-analyses (PRISMA) framework. We begin by covering foundational concepts & definitions, then move to general frameworks & performance metrics, & finally discuss the latest advances in methodologies & datasets. This survey provides a detailed analysis of research trends, performance comparisons, challenges, & future directions. Through this work, we aim to offer a valuable resource for both newcomers & experienced researchers, promoting further exploration & progress in AQA. Data are available at https://haoyin116.github.io/Survey_of_AQA/