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

• URL: http://arxiv.org/abs/2502.02817v1
• Date: Wed, 05 Feb 2025 01:33:24 GMT
• Title: A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions
• Authors: Hao Yin, Paritosh Parmar, Daoliang Xu, Yang Zhang, Tianyou Zheng, Weiwei Fu,
• Abstract summary: Action Quality Assessment (AQA) has far-reaching implications in areas such as low-cost physiotherapy, sports training, and workforce development. We systematically review over 200 research papers using the preferred reporting items for systematic reviews & meta-analyses (PRISMA) framework. This survey provides a detailed analysis of research trends, performance comparisons, challenges, & future directions.
• Score: 8.27542607031299
• License:
• 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/

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