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sEMG-Based Motion Recognition of Upper Limb Rehabilitation Using the Improved Yolo-v4 Algorithm

Dongdong Bu, Shuxiang Guo, He Li
2022 Life  
The experimental results showed that the proposed motion recognition methods were available.  ...  In this paper, MobileNetV2 combined the Ghost module as the feature extraction network to obtain the pretraining model.  ...  A well-designed convolutional neural network (CNN) was used to obtain effective filters automatically to extract features.  ... 
doi:10.3390/life12010064 pmid:35054457 pmcid:PMC8778025 fatcat:ba5koxh7fbe5ljdnsqrm6f2xoi

Deep Learning for Visual Tracking: A Comprehensive Survey [article]

Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, and Shohreh Kasaei
2019 arXiv   pre-print
visual tracking, network objective, network output, and the exploitation of correlation filter advantages.  ...  It may serve as a gentle use guide for practitioners to weigh on when and under what conditions to choose which method(s).  ...  Although convolutional neural networks (CNNs) have been dominant networks initially, the broad range of architectures such as Siamese neural networks (SNNs), recurrent neural networks (RNNs), auto-encoders  ... 
arXiv:1912.00535v1 fatcat:v5ikqi2cpbblhgtkiu6z6l5anq