One-Dimensional Convolutional Models in Human Activity Recognition Tasks
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  • Release Date: 2023-05-10
  • human activity recognition
  • accelerometer data
  • deep learning
  • one-dimensional convolutional neural networks
  • embeddings
  • explainable artificial intelligence
  • embeddings visualization
  • t-SNE
  • visualization
Video Introduction

This video is adapted from 10.3390/s23094409

Human Activity Recognition (HAR) is a complex problem in deep learning, and One-Dimensional Convolutional Neural Networks (1D CNNs) have emerged as a popular approach for addressing it. These networks efficiently learn features from data that can be utilized to classify human activities with high performance. However, understanding and explaining the features learned by these networks remains a challenge. This video presents a novel eXplainable Artificial Intelligence (XAI) method for generating visual explanations of features learned by one-dimensional CNNs in its training process, utilizing t-Distributed Stochastic Neighbor Embedding (t-SNE). By applying this method, researchers provide insights into the decision-making process through visualizing the information obtained from the model’s deepest layer before classification. The results demonstrate that the learned features from one dataset can be applied to differentiate human activities in other datasets. The trained networks achieved high performance on two public databases, with 0.98 accuracy on the SHO dataset and 0.93 accuracy on the HAPT dataset. The visualization method proposed in this work offers a powerful means to detect bias issues or explain incorrect predictions. This work introduces a new type of XAI application, enhancing the reliability and practicality of CNN models in real-world scenarios.

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Aquino, G.D.A.E.A.; Costa, M.G.F.; Filho, C.F.F.C. One-Dimensional Convolutional Models in Human Activity Recognition Tasks. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/733 (accessed on 18 May 2024).
Aquino GDAEA, Costa MGF, Filho CFFC. One-Dimensional Convolutional Models in Human Activity Recognition Tasks. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/733. Accessed May 18, 2024.
Aquino, Gustavo De Aquino E Aquino, Marly Guimarães Fernandes Costa, Cícero Ferreira Fernandes Costa Filho. "One-Dimensional Convolutional Models in Human Activity Recognition Tasks" Encyclopedia, https://encyclopedia.pub/video/video_detail/733 (accessed May 18, 2024).
Aquino, G.D.A.E.A., Costa, M.G.F., & Filho, C.F.F.C. (2023, May 10). One-Dimensional Convolutional Models in Human Activity Recognition Tasks. In Encyclopedia. https://encyclopedia.pub/video/video_detail/733
Aquino, Gustavo De Aquino E Aquino, et al. "One-Dimensional Convolutional Models in Human Activity Recognition Tasks." Encyclopedia. Web. 10 May, 2023.