1D Convolutional Neural Network with Long Short-Term Memory for Human Activity Recognition

Jia Xin Goh, Kian Ming Lim, Chin Poo Lee

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)

Abstract

Human activity recognition aims to determine the actions or behavior of a person based on the time series data. In recent year, more large human activity recognition datasets are available as it can be collected in easier and cheaper ways. In this work, a 1D Convolutional Neural Network with Long Short-Term Memory Network for human activity recognition is proposed. The 1D Convolutional Neural Network is employed to learn high-level representative features from the accelerometer and gyroscope signal data. The Long Short-Term Memory network is then used to encode the temporal dependencies of the features. The final classification is performed with a softmax classifier. The proposed 1D Convolutional Neural Network with Long Short-Term Memory Network is evaluated on MotionSense, UCI-HAR, and USC-HAD datasets. The class distributions of these datasets are imbalanced. In view of this, adjusted class weight is proposed to mitigate the imbalanced class issue. Furthermore, early stopping is utilized to reduce the overfitting in the training. The proposed method achieved promising performance on MotionSense, UCI-HAR, and USC-HAD datasets, with F1-score of 98.14%, 91.04%, and 76.42%, respectively.

Original languageEnglish
Title of host publication3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665428996
DOIs
Publication statusPublished - 13 Sept 2021
Externally publishedYes
Event3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021 - Kota Kinabalu, Sabah, Malaysia
Duration: 13 Sept 202115 Sept 2021

Publication series

Name3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021

Conference

Conference3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period13/09/2115/09/21

Keywords

  • 1D Convolutional Neural Network
  • Human activity recognition
  • Long Short-Term Memory

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