Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm

Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm

Recognizing different contact patterns imposed on tactile sensors plays a very important role in human–machine interaction. In this paper, a flexible tactile sensor with great dynamic response characteristics is designed and manufactured based on polyvinylidene fluoride (PVDF) ma-terial. Four contac...

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Bibliographic Details
Main Authors: Li, M. (Author), Lv, S. (Author), Song, Y. (Author), Wang, F. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Brain
contact pattern
Contact pattern
Convolution
Convolutional neural network
convolutional neural network (CNN)
Convolutional neural networks
Decision trees
flexible tactile sensor
Flexible tactile sensors
Fluorine compounds
Fusion algorithms
Long short-term memory
long short-term memory (LSTM) network
Long short-term memory network
Memory network
Pattern recognition
Random forest algorithm
recognition
Recognition
Tactile sensors
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