Cargando…
FER-PCVT: Facial Expression Recognition with Patch-Convolutional Vision Transformer for Stroke Patients
Early rehabilitation with the right intensity contributes to the physical recovery of stroke survivors. In clinical practice, physicians determine whether the training intensity is suitable for rehabilitation based on patients’ narratives, training scores, and evaluation scales, which puts tremendou...
Autores principales: | Fan, Yiming, Wang, Hewei, Zhu, Xiaoyu, Cao, Xiangming, Yi, Chuanjian, Chen, Yao, Jia, Jie, Lu, Xiaofeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776282/ https://www.ncbi.nlm.nih.gov/pubmed/36552086 http://dx.doi.org/10.3390/brainsci12121626 |
Ejemplares similares
-
Light-FER: A Lightweight Facial Emotion Recognition System on Edge Devices
por: Pascual, Alexander M., et al.
Publicado: (2022) -
Facial Expression Recognition Based on Squeeze Vision Transformer
por: Kim, Sangwon, et al.
Publicado: (2022) -
Facial Micro-Expression Recognition Enhanced by Score Fusion and a Hybrid Model from Convolutional LSTM and Vision Transformer
por: Zheng, Yufeng, et al.
Publicado: (2023) -
Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer
por: Yang, Bo, et al.
Publicado: (2022) -
Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer
por: Mogan, Jashila Nair, et al.
Publicado: (2023)