Needham, L, Evans, M, Cosker, D. P. & Colyer, S. L. (2020). Using computer vision and deep learning methods to capture skeleton push start performance characteristics. ISBS Proceedings Archive (Michigan), 38 (1), Article 191. Zugriff am 13.01.2021 unter https://commons.nmu.edu/isbs/vol38/iss1/191
APA (7th ed.) CitationNeedham, L., Evans, M., Cosker, D. P., & Colyer, S. L. (2020). Using computer vision and deep learning methods to capture skeleton push start performance characteristics. ISBS Proceedings Archive (Michigan), 38(1), Article 191.
Chicago Style (17th ed.) CitationNeedham, L., M. Evans, D. P. Cosker, and S. L. Colyer. "Using Computer Vision and Deep Learning Methods to Capture Skeleton Push Start Performance Characteristics." ISBS Proceedings Archive (Michigan) 38, no. 1 (2020): Article 191.
MLA (9th ed.) CitationNeedham, L., et al. "Using Computer Vision and Deep Learning Methods to Capture Skeleton Push Start Performance Characteristics." ISBS Proceedings Archive (Michigan), vol. 38, no. 1, 2020, p. Article 191.