Musha, S, Kobayashi, D, Takaku, Y, Hirono, Y, Otsu, T & Fujii, N. (2022). Reliability and validity of a deep learning algorithm based markerless motion capture system in measuring squats. ISBS Proceedings Archive (Michigan), 40 (1), Article 122. Zugriff am 21.10.2022 unter https://commons.nmu.edu/isbs/vol40/iss1/122/
APA (7th ed.) CitationMusha, S., Kobayashi, D., Takaku, Y., Hirono, Y., Otsu, T., & Fujii, N. (2022). Reliability and validity of a deep learning algorithm based markerless motion capture system in measuring squats. ISBS Proceedings Archive (Michigan), 40(1), Article 122.
Chicago Style (17th ed.) CitationMusha, S., D. Kobayashi, Y. Takaku, Y. Hirono, T. Otsu, and N. Fujii. "Reliability and Validity of a Deep Learning Algorithm Based Markerless Motion Capture System in Measuring Squats." ISBS Proceedings Archive (Michigan) 40, no. 1 (2022): Article 122.
MLA (9th ed.) CitationMusha, S., et al. "Reliability and Validity of a Deep Learning Algorithm Based Markerless Motion Capture System in Measuring Squats." ISBS Proceedings Archive (Michigan), vol. 40, no. 1, 2022, p. Article 122.