Dual-stream deep learning integrated multimodal sensors for complex stimulus detection in intelligent sensory systems-Reference-Cited by-同舟云学术

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Dual-stream deep learning integrated multimodal sensors for complex stimulus detection in intelligent sensory systems

Published:2024-04 Issue: Volume:122 Page:109342
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Keum Kyobin,Kwak Jee Young,Rim Jongmin,Byeon Dong Hwan,Kim Insoo,Moon Juhyuk,Park Sung Kyu,Kim Yong-Hoon

Funder

Gyeonggi-do Regional Research Center

Korea Ministry of Science and ICT

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Reference62 articles.

1. Learning the signatures of the human grasp using a scalable tactile glove

2. Perception‐to‐Cognition Tactile Sensing Based on Artificial‐Intelligence‐Motivated Human Full‐Skin Bionic Electronic Skin

3. Heterogeneous Structure Omnidirectional Strain Sensor Arrays With Cognitively Learned Neural Networks

4. Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

5. Learning human–environment interactions using conformal tactile textiles

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1. Facile preparation of self-healing, adhesive and patterned gels via frontal polymerization for wearable sensing and actuating applications;Chemical Engineering Journal;2024-10

2. Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators;Advanced Energy Materials;2024-09-10

3. Autonomous Artificial Olfactory Sensor Systems with Homeostasis Recovery via a Seamless Neuromorphic Architecture;Advanced Materials;2024-05-10

4. Facile Preparation of Self-Healing, Adhesive and Patterned Gels Via Frontal Polymerizations for Wearable Sensing and Actuating Applications;2024

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