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Biotechnol."],"abstract":"<jats:p>The biomechanics of head acceleration events (HAEs) in sport have received increasing attention due to growing concern over concussion and long-term neurodegenerative disease risk. While wearable sensors, such as instrumented mouthguards (iMGs), are now commonly used to measure HAEs, these devices face well-documented challenges, including poor skull coupling, limited compliance, and high false-positive rates. Video footage is routinely collected in sports for performance analysis, and is a perhaps underutilised source for both retrospective and <jats:italic>in situ<\/jats:italic> measurement surrounding HAEs. Traditionally used to confirm HAE exposure in wearable sensor studies, video has more recently been explored as a quantitative tool in its own right. This review synthesises the current state of the art in video-based measurement of HAEs, with a particular focus on videogrammetric methods, including manual point tracking and model-based image matching. Recent advances in computer vision and deep learning that offer the potential to automate and extend these approaches are also examined. Key limitations of current video-based methods are discussed, alongside opportunities to improve their scalability, accuracy, and biomechanical insight. By consolidating evidence across traditional and emerging approaches, this review highlights the potential of video as a practical and valuable measurement source for quantitative measurement and modelling of HAEs in sport.<\/jats:p>","DOI":"10.3389\/fbioe.2025.1658222","type":"journal-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T05:34:54Z","timestamp":1755668094000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Quantitative video analysis of head acceleration events: a review"],"prefix":"10.3389","volume":"13","author":[{"given":"Thomas","family":"Aston","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filipe","family":"Teixeira-Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,8,20]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"103","DOI":"10.14358\/PERS.81.2.103","article-title":"Direct linear Transformation from Comparator coordinates into object space coordinates in Close-range Photogrammetry","volume":"81","author":"Abdel-Aziz","year":"2015","journal-title":"Photogrammetric Eng. and Remote Sens."},{"key":"B2","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1007\/s10439-022-03025-9","article-title":"Consensus head acceleration measurement practices (CHAMP): Origins, methods, transparency and disclosure","volume":"50","author":"Arbogast","year":"2022","journal-title":"Ann. 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