A Transformer Based Approach for Activity Detection-Reference-Cited by-同舟云学术

A Transformer Based Approach for Activity Detection

Published:2022-10-10 Issue: Volume: Page:
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Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Sharma Gulshan¹,Dhall Abhinav²,Subramanian Ramanathan³

Affiliation:

1. Indian Institute of Technology Ropar, Rupnagar, India

2. Indian Institute of Technology Ropar & Monash University, Rupnagar, India

3. University of Canberra, Canberra, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3551598

Reference11 articles.

1. Vision-based human activity recognition: a survey

2. Signal estimation from modified short-time Fourier transform

3. Günter Klambauer , Thomas Unterthiner , Andreas Mayr , and Sepp Hochreiter . 2017 . Self-Normalizing Neural Networks. In Advances in Neu- ral Information Processing Systems, I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R . Garnett (Eds.) , Vol. 30 . Curran Associates, Inc. https://proceedings.neurips.cc/paper/ 2017/file/ 5d44ee6f2c3f71b73125876103c8f6c4-Paper.pdf Günter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter. 2017. Self-Normalizing Neural Networks. In Advances in Neu- ral Information Processing Systems, I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc. https://proceedings.neurips.cc/paper/2017/file/ 5d44ee6f2c3f71b73125876103c8f6c4-Paper.pdf

4. A single smartwatch-based segmentation approach in human activity recognition

5. harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition

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