AcousticPose: Acoustic-Based Human Pose Estimation
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8174-5_5
Reference39 articles.
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3. Guler, R.A., Neverova, N., Kokkinos, I.: DensePose: dense human pose estimation in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7297–7306 (2018)
4. Huang, Y., Kaufmann, M., Aksan, E., Black, M.J., Hilliges, O., Pons-Moll, G.: Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time. ACM Trans. Graph. (TOG) 37(6), 1–15 (2018)
5. Nandakumar, R., Iyer, V., Tan, D., Gollakota, S.: FingerIO: using active sonar for fine-grained finger tracking. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1515–1525 (2016)
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1. PoseSonic;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27
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