Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition
Human behavior recognition is the process of automatically identifying and analyzing multiple human behaviors using modern technology. From previous studies, we find that redundant features not only slow down the model training process and increase the structural complexity but also degrade the over...
Saved in:
Main Authors: | Wei Zhang, Guibo Yu, Shijie Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | IET Biometrics |
Online Access: | http://dx.doi.org/10.1049/2024/4982277 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer
by: Chuanhe Shen, et al.
Published: (2025-01-01) -
Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework
by: Yuhuang Zheng
Published: (2015-01-01) -
Research on the Initial Fault Prediction Method of Rolling Bearings Based on DCAE-TCN Transfer Learning
by: Huaitao Shi, et al.
Published: (2021-01-01) -
Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data
by: A-Hyeon Jo, et al.
Published: (2025-01-01) -
Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN
by: Xiaoguang Liu, et al.
Published: (2022-01-01)