Convolutional neural network for human behavior recognition based on smart bracelet-Reference-Cited by-同舟云学术

Convolutional neural network for human behavior recognition based on smart bracelet

Published:2020-05-29 Issue:5 Volume:38 Page:5615-5626
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Qu Junsuo¹,Qiao Ning²,Shi Haonan²,Su Chang²,Razi Abolfazl³

Affiliation:

1. School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, China

2. Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, China

3. School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference18 articles.

1. QU Junsuo, HOU Leichao, ZHANG Ruijun, et al. An Improved Measurement Variable Estimation Model for Positioning Mobile Robot, Interaction Studies 20 (2019), 78–101.

2. Ignatov, Andrey. Real-time human activity recognition from accelerometer data using Convolutional Neural Networks, Applied Soft Computing, 2018, pp. 915–922.

3. Image and Video Processing; Findings from Federal University of Minas Gerais in the Area of Image and Video Processing Described (Novel approaches to human activity recognition based on accelerometer data), Journal of Technology & Science, 2018.

4. Window size impact in human activity recognition;Banos;Sensors,2014

5. A Study on Human Activity Recognition Using Accelerometer Data from Smartphones;Bayat;Procedia Computer Science,2014

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