Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data-Reference-Cited by-同舟云学术

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

Author:

Yang Po¹^ORCID,Yang Congmin¹,Lanfranchi Vitaveska¹^ORCID,Ciravegna Fabio¹^ORCID

Affiliation:

1. Department of Computer Science, The University of Sheffield, Sheffield, U.K.

Funder

Engineering and Physical Sciences Research Council

Industrial CASE Project and AntData Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference36 articles.

4. Human activity recognition based on wearable sensor data: A standardization of the state-of-the-art;jordao,2018

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2. Using Multi Class SVM for Creating an Algorithm for Human Activity Recognition;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09