Preliminary studies of measuring skateboarding forces by combining inertial sensors and camera-based pose estimation.

Author:

Zoellner Michael1ORCID,Krause Moritz1ORCID

Affiliation:

1. Hof University, Germany

Publisher

ACM

Reference28 articles.

1. Abdullah , M.A. , Ibrahim , M.A.R. , Shapiee , M.N.A.B. , Mohd Razman , M.A. , Musa , R.M. and Abdul Majeed, A.P.P. 2020 . The Classification of Skateboarding Trick Manoeuvres Through the Integration of IMU and Machine Learning. Intelligent Manufacturing and Mechatronics ( Singapore , 2020 ), 67–74. Abdullah, M.A., Ibrahim, M.A.R., Shapiee, M.N.A.B., Mohd Razman, M.A., Musa, R.M. and Abdul Majeed, A.P.P. 2020. The Classification of Skateboarding Trick Manoeuvres Through the Integration of IMU and Machine Learning. Intelligent Manufacturing and Mechatronics (Singapore, 2020), 67–74.

2. Bazarevsky V. Grishchenko I. Raveendran K. Zhu T. Zhang F. and Grundmann M. 2020. BlazePose: On-device Real-time Body Pose tracking. arXiv. Bazarevsky V. Grishchenko I. Raveendran K. Zhu T. Zhang F. and Grundmann M. 2020. BlazePose: On-device Real-time Body Pose tracking. arXiv.

3. Cao Z. Hidalgo G. Simon T. Wei S.-E. and Sheikh Y. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. arXiv. Cao Z. Hidalgo G. Simon T. Wei S.-E. and Sheikh Y. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. arXiv.

4. Colaboratory T. 2017. Google Colaboratory. Colaboratory T. 2017. Google Colaboratory.

5. Groh , B.H. , Kautz , T. , Schuldhaus , D. and Eskofier , B.M . 2015. IMU-based trick classification in skateboarding . KDD workshop on large-scale sports analytics ( 2015 ). Groh, B.H., Kautz, T., Schuldhaus, D. and Eskofier, B.M. 2015. IMU-based trick classification in skateboarding. KDD workshop on large-scale sports analytics (2015).

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