RFaNet: Receptive Field-Aware Network with Finger Attention for Fingerspelling Recognition Using a Depth Sensor

RFaNet: Receptive Field-Aware Network with Finger Attention for Fingerspelling Recognition Using a Depth Sensor

Automatic fingerspelling recognition tackles the communication barrier between deaf and hearing individuals. However, the accuracy of fingerspelling recognition is reduced by high intra-class variability and low inter-class variability. In the existing methods, regular convolutional kernels, which h...

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Bibliographic Details
Main Authors: Shih-Hung Yang, Yao-Mao Cheng, Jyun-We Huang, Yon-Ping Chen
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
fingerspelling recognition
depth sensor
finger attention
receptive field
inter-finger relation
Online Access:https://www.mdpi.com/2227-7390/9/21/2815

Internet

https://www.mdpi.com/2227-7390/9/21/2815

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