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Current assessments rely on carer observations within a framework of behavioural scales. Automatic monitoring of agitation can supplement existing assessments, providing carers and clinicians with a greater understanding of the causes and extent of agitation. Despite agitation frequently manifesting in repetitive hand movements, the automatic assessment of repetitive hand movements remains a sparsely researched field. Monitoring hand movements is problematic due to the subtle differences between different types of hand movements and variations in how they can be carried out; the lack of training data creates additional challenges. This paper proposes a novel approach to assess the type and intensity of repetitive hand movements using skeletal model data derived from video. We introduce a video-based dataset of five repetitive hand movements symptomatic of agitation. Using skeletal keypoint locations extracted from video, we demonstrate a system to recognise repetitive hand movements using discriminative poses. By first learning characteristics of the movement, our system can accurately identify changes in the intensity of repetitive movements. Wide inter-subject variation in agitated behaviours suggests the benefit of personalising the recognition model with some end-user information. Our results suggest that data captured using a single conventional RGB video camera can be used to automatically monitor agitated hand movements of sedentary patients.<\/jats:p>","DOI":"10.1007\/s41666-022-00120-3","type":"journal-article","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T14:02:45Z","timestamp":1663941765000},"page":"401-422","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Assessment of the Type and Intensity of Agitated Hand Movements"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0135-8090","authenticated-orcid":false,"given":"Fiona","family":"Marshall","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4821-6404","authenticated-orcid":false,"given":"Shuai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8243-2223","authenticated-orcid":false,"given":"Bryan W.","family":"Scotney","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,23]]},"reference":[{"issue":"7","key":"120_CR1","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1002\/gps.1344","volume":"20","author":"B Cullen","year":"2005","unstructured":"Cullen B et al (2005) Repetitive behaviour in Alzheimer\u2019s disease: description, correlates and functions. 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