TY - JOUR
T1 - Human Movement Datasets
T2 - An Interdisciplinary Scoping Review
AU - Olugbade, Temitayo
AU - Bieńkiewicz, Marta
AU - Barbareschi, Giulia
AU - D'Amato, Vincenzo
AU - Oneto, Luca
AU - Camurri, Antonio
AU - Holloway, Catherine
AU - Björkman, Mårten
AU - Keller, Peter
AU - Clayton, Martin
AU - Williams, Amanda C.De C.
AU - Gold, Nicolas
AU - Becchio, Cristina
AU - Bardy, Benoît
AU - Bianchi-Berthouze, Nadia
N1 - Funding Information:
This work was supported by the EU Future and Emerging Technologies Proactive Programme H2020 (Grant No. 824160: EnTimeMent - entimement.dibris.unige.it ).
Publisher Copyright:
© 2022 Association for Computing Machinery.
PY - 2023/6/30
Y1 - 2023/6/30
N2 - 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 secondary data: name and reference, creation purpose, data type, annotations, source, population groups, ordinal size of people captured simultaneously, URL, motion capture sensor, and funders. The catalogue is available in the supplementary materials. We provide an analysis of the datasets and further review them under the themes of human diversity, ecological validity, and data recorded. The resulting 12-dimension framework can guide researchers in planning the creation of open movement datasets. This work has been the interdisciplinary effort of researchers across affective computing, clinical psychology, disability innovation, ethnomusicology, human-computer interaction, machine learning, music cognition, music computing, and movement neuroscience.
AB - 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 secondary data: name and reference, creation purpose, data type, annotations, source, population groups, ordinal size of people captured simultaneously, URL, motion capture sensor, and funders. The catalogue is available in the supplementary materials. We provide an analysis of the datasets and further review them under the themes of human diversity, ecological validity, and data recorded. The resulting 12-dimension framework can guide researchers in planning the creation of open movement datasets. This work has been the interdisciplinary effort of researchers across affective computing, clinical psychology, disability innovation, ethnomusicology, human-computer interaction, machine learning, music cognition, music computing, and movement neuroscience.
KW - Action
KW - databases
KW - datasets
KW - human movement
KW - movement
KW - review
KW - survey
UR - http://www.scopus.com/inward/record.url?scp=85146496985&partnerID=8YFLogxK
U2 - 10.1145/3534970
DO - 10.1145/3534970
M3 - Journal article
AN - SCOPUS:85146496985
SN - 0360-0300
VL - 55
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 6
M1 - 3534970
ER -