A multiorder attentional spatial interactive convolutional neural network (moas-cnn) for low-resolution haptic recognition

HIGHLIGHTS

• who: Kailin Wen et al. from the School of Microelectronics, Xidian University, Xi`an, China have published the paper: A Multiorder Attentional Spatial Interactive Convolutional Neural Network (MoAS-CNN) for Low-Resolution Haptic Recognition, in the Journal: (JOURNAL)
• what: This study proposes network (MoAS-CNN) for haptic recognition. The approach provides a new general framework that can be easily extended to different systems.
• how: To increase the nonlinear expression of the network a cross-flow spatial interactive feature is proposed as a second-order response. To further explore the contribution of the proposed . . .
  

   

  

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