Cargando…
Wearable multimode sensor with a seamless integrated structure for recognition of different joint motion states with the assistance of a deep learning algorithm
Accurate motion feature extraction and recognition provide critical information for many scientific problems. Herein, a new paradigm for a wearable seamless multimode sensor with the ability to decouple pressure and strain stimuli and recognize the different joint motion states is reported. This wea...
Autores principales: | Wen, Lei, Nie, Meng, Chen, Pengfan, Zhao, Yu-na, Shen, Jingcheng, Wang, Chongqing, Xiong, Yuwei, Yin, Kuibo, Sun, Litao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854609/ https://www.ncbi.nlm.nih.gov/pubmed/35251689 http://dx.doi.org/10.1038/s41378-022-00358-2 |
Ejemplares similares
-
Multimodal Sensor Motion Intention Recognition Based on Three-Dimensional Convolutional Neural Network Algorithm
por: Wen, Mofei, et al.
Publicado: (2021) -
Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors
por: Yurtman, Aras, et al.
Publicado: (2017) -
A Self-Powered Piezoelectric Nanofibrous Membrane as Wearable Tactile Sensor for Human Body Motion Monitoring and Recognition
por: Li, Jingcheng, et al.
Publicado: (2023) -
Seamless Tracing of Human Behavior Using Complementary Wearable and House-Embedded Sensors
por: Augustyniak, Piotr, et al.
Publicado: (2014) -
Retracted: Multimodal Sensor Motion Intention Recognition Based on Three-Dimensional Convolutional Neural Network Algorithm
por: Intelligence and Neuroscience, Computational
Publicado: (2023)