Activity recognition for locomotion and transportation dataset using deep learning-Reference-Cited by-同舟云学术

Activity recognition for locomotion and transportation dataset using deep learning

Published:2020-09-10 Issue: Volume: Page:
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Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
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Author:

Naseeb Chan¹,Saeedi Bilal Al¹

Affiliation:

1. IBM, Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414348

Reference16 articles.

1. Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset

2. The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices

3. "Sussex-Huawei Locomotion Challenge. " [Online]. Available: http://www.shl-dataset.org/activity-recognition-challenge-2020/. "Sussex-Huawei Locomotion Challenge. " [Online]. Available: http://www.shl-dataset.org/activity-recognition-challenge-2020/.

4. Machine Learning in Python, Pedregosa et al;Scikit;JMLR,2011

5. Ioffe Sergey and Christian Szegedy. "Batch normalization: Accelerating deep network training by reducing internal covariate shift." arXiv preprint arXiv:1502.03167 (2015). Ioffe Sergey and Christian Szegedy. "Batch normalization: Accelerating deep network training by reducing internal covariate shift." arXiv preprint arXiv:1502.03167 (2015).

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