Open Access
Issue
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
Article Number 05006
Number of page(s) 10
Section Machine Learning & Neural Networks
DOI https://doi.org/10.1051/itmconf/20235605006
Published online 09 August 2023
  1. K. Yang, K. Guo, H. Ji, Y. Li, A Novel Two-Stream Convolutional Neural Network for Human Activity Recognition, IEEE Transactions on Human-Machine Systems, 50 (5), 508-517 (2020) [Google Scholar]
  2. H. Cao, H. Liu, and P. Zhang, Human Action Recognition Using Multimodal Sensor Data and Deep Learning Techniques: A Comprehensive Review, J Ambient Intell Humaniz Comput, 11, 335-358 (2020) [Google Scholar]
  3. Y. Li, J. Li, J. Li, and C. Li, Human Activity Recognition Based on a Novel Stacked Autoencoder Network with a Complementary Multimodal Sensor Fusion Strategy, IEEE Transactions on Instrumentation and Measurement, 69 (3), 988-1003 (2020) [Google Scholar]
  4. J. Yao, Z. Wang, and D. Zhang, Human Activity Recognition based on Multi-modal Sensor Data and Multi-level Fusion Convolutional Neural Network, Expert Systems with Applications, 169, 114422 (2021) [Google Scholar]
  5. S. Mahajan, P. Kumar, Human activity recognition using convolutional neural networks with transfer learning, J Ambient Intell Humaniz Comput, 12 (7), 6509-6524 (2021) [Google Scholar]
  6. Y. Du, Z. Wang, H. Zhang, Y. Hu, Human activity recognition using mobile sensors based on convolutional neural networks and transfer learning, J Ambient Intell Humaniz Comput, 12 (11), 12823-12834 (2021) [Google Scholar]
  7. L. Jiang, X. Li, F. Liu, Human activity recognition based on a novel feature extraction method and deep learning, Journal of Sensors, 5522346 (2021) [Google Scholar]
  8. Y. Liu, Z. Wang, H. Zhang, et al., A time-frequency convolutional neural network for human activity recognition based on wearable sensor data, IEEE Transactions on Instrumentation and Measurement, 70, 1-10 (2021) [Google Scholar]
  9. S. He, Y. Zhang, Z. Zhou, et al., Multi-sensor fusion for human activity recognition using a novel multi-channel CNN-LSTM model, IEEE Sensors Journal, 21, 4106-4114 (2021) [CrossRef] [Google Scholar]
  10. H. Kim, K. Hong, K. Jung, J. Kim, M. Park, M. Kim, A human activity recognition system based on convolutional neural network and long short-term memory, Sensors, 22 (2), 412 (2022) [Google Scholar]
  11. Y. Kim, J. Kim, Y. Song, Human activity recognition using a deep learning-based algorithm on a smartwatch with a built-in accelerometer and gyroscope, Journal of Sensors, 5651099 (2022) [Google Scholar]
  12. K. Saeedi, S. Chandra, R. V. Babu, Two-stage deep learning for human action recognition, IEEE Transactions on Circuits and Systems for Video Technology, 32, 179-190 (2022) [Google Scholar]

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