Posture Identification Using Artificial Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0573-3_40
Reference18 articles.
1. Insafutdinov E, Pishchulin L, Andres B, Andrilukaand M, Schiele B (2016) Deepercut: a deeper, stronger, and faster multi-person pose estimation model. In: ECCV, pp 1, 5, 6
2. Pishchulin L, Insafutdinov E, Tang S, Andres B, Andriluka M, Gehler P, Schiele B (2016) Deepcut: joint subset partition and labeling for multi person pose estimation. In: CVPR
3. Pfister T, Charles J, Zisserman A (2015) Flowing convnets for human pose estimation in videos. In: ICCV
4. Li Q, Stankovic JA, Hanson MA, Barth AT, Zhou JLG (2009) Accurate, fast fall detection using gyroscopes and accelerometer derived posture information. Berkeley, CA
5. Aghazadeh F, Arjmand N, Nasrabadi AM (2020) Coupled artificial neural networks to estimate 3D whole-body posture, lumbosacral moments, and spinal loads during load-handling activities. J Biomech 102:109332. https://doi.org/10.1016/j.jbiomech.2019.109332
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