Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing

Research article (IEEE Sensors Journal, 2021) · cited 32× · AI/ML
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Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing

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Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing is a scholarly article[1].

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  • Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-ballroom-dance-recognition-a-temporal-and-trajectory-aware-classification-model-with-three-dimensional
MLA “Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-ballroom-dance-recognition-a-temporal-and-trajectory-aware-classification-model-with-three-dimensional.
BibTeX @misc{4ortxyz_deep-learning-for-ballroom-dance-recognition-a-temporal-and-trajectory-aware-classification-model-with-three-dimensional_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-ballroom-dance-recognition-a-temporal-and-trajectory-aware-classification-model-with-three-dimensional}, note = {Accessed: 2026-05-24}}
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