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Human Movement Datasets: An Interdisciplinary Scoping Review

Olugbade, T.; Bieńkiewicz, M.; Barbareschi, G.; D’amato, V.; Oneto, L.; Camurri, A.; Holloway, C.; Björkman, M.; Keller, P.; Clayton, M.; Williams, A.C De C; Gold, N.; Becchio, C.; Bardy, B.; Bianchi-Berthouze, N.

Authors

T. Olugbade

M. Bieńkiewicz

G. Barbareschi

V. D’amato

L. Oneto

A. Camurri

C. Holloway

M. Björkman

P. Keller

A.C De C Williams

N. Gold

C. Becchio

B. Bardy

N. Bianchi-Berthouze



Citation

Olugbade, T., Bieńkiewicz, M., Barbareschi, G., D’amato, V., Oneto, L., Camurri, A., Holloway, C., Björkman, M., Keller, P., Clayton, M., Williams, A. D. C., Gold, N., Becchio, C., Bardy, B., & Bianchi-Berthouze, N. (2022). Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Computing Surveys, 55(6), https://doi.org/10.1145/3534970

Journal Article Type Article
Acceptance Date May 2, 2022
Online Publication Date Dec 7, 2022
Publication Date 2022
Deposit Date Dec 16, 2022
Journal ACM Computing Surveys
Print ISSN 0360-0300
Electronic ISSN 1557-7341
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 55
Issue 6
DOI https://doi.org/10.1145/3534970
Public URL https://durham-repository.worktribe.com/output/1183363
Related Public URLs https://discovery.ucl.ac.uk/id/eprint/10147799/