2022
DOI: 10.1145/3534970
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Human Movement Datasets: An Interdisciplinary Scoping Review

Abstract: Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a comprehensive overview based on a systematic survey across disciplines. This enables higher visibility of datasets available to the research communities and can foster interdisciplinary collaborations. We present a catalogue of 704 open datasets described by 10 variables that can be valuable to researchers searching for second… Show more

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Cited by 20 publications
(16 citation statements)
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“…Given the effort and expense of collecting these data, data sharing is important. 68 Nor were issues of data storage, security, and privacy of identifiable data much discussed. We have not addressed here technological monitoring of individuals' behavior, even of their physiology, with or without consent, as instituted for benign reasons to detect lack of motion in homes of elderly people living alone.…”
Section: Discussionmentioning
confidence: 99%
“…Given the effort and expense of collecting these data, data sharing is important. 68 Nor were issues of data storage, security, and privacy of identifiable data much discussed. We have not addressed here technological monitoring of individuals' behavior, even of their physiology, with or without consent, as instituted for benign reasons to detect lack of motion in homes of elderly people living alone.…”
Section: Discussionmentioning
confidence: 99%
“…Numerous datasets are available for benchmarking and comparing human action recognition methods [244]. The most up-to-date paper [245], published in May of 2022, presents an excellent vast summary with a catalog of the 704 existing multimodal human movement datasets available for researchers prepared in labs and the real world. Table 9 indicates the most popular datasets from real-life scenarios considered when selecting the most representative datasets to evaluate the most promising methods.…”
Section: Datasets For Methods Evaluationmentioning
confidence: 99%
“…H UMAN movement modelling is an important topic relevant across several disciplines and pivotal for a wide variety of applications [1]. While areas such as action/activity recognition have benefited from extensive interest and a large number of (open) datasets, higher order problems like affect recognition lag behind [1].…”
Section: Introductionmentioning
confidence: 99%
“…H UMAN movement modelling is an important topic relevant across several disciplines and pivotal for a wide variety of applications [1]. While areas such as action/activity recognition have benefited from extensive interest and a large number of (open) datasets, higher order problems like affect recognition lag behind [1]. For automatic recognition of affective experience from movement, this is despite consistent findings and discussions on the role of the body in experience and expression [2], [3].…”
Section: Introductionmentioning
confidence: 99%