Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data

• Published in: IEEE transactions on industrial informatics Vol. 18; no. 10; pp. 6619 - 6630
• Main Authors: Yang, Po, Yang, Congmin, Lanfranchi, Vitaveska, Ciravegna, Fabio
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Activity graph; Algorithms; Artificial neural networks; Convolutional neural networks; Correlation; Datasets; Deep learning; Feature extraction; Graphs; Gyroscopes; Human activity recognition; Machine learning; Neural networks; Sensors; Smart buildings; Smartphones; Sorting; Sorting algorithms

Human activity recognition (HAR) using smartphone sensors have been recently studied in various applications including healthcare, fitness, and smart home. Their recognition accuracy often depends on high-quality feature design and effectiveness of classification algorithms, where existing work most...