Paper
15 August 2023 Sensor-based gesture recognition with convolutional neural networks
Andrew Guo Wang
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127193Z (2023) https://doi.org/10.1117/12.2685659
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
Recently, sensor-based gesture recognition has shown its importance through its various practical uses in the fields of control systems, medical monitoring and judging abnormal behaviors. Deep learning has been widely implemented in sensor-based gesture recognition problems, and the results prove its effectiveness. In this article, we propose a recognition model based on convolutional neural networks (CNNs) and apply it to smartphone-based data. The average classification accuracy is better than that of traditional machine learning models, which is 69.24% on this dataset. Furthermore, we analyze the effect of different factors on the result of the CNN model.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Guo Wang "Sensor-based gesture recognition with convolutional neural networks", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127193Z (15 August 2023); https://doi.org/10.1117/12.2685659
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KEYWORDS
Gesture recognition

Machine learning

Data modeling

Convolutional neural networks

Deep learning

Image processing

Electromyography

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