Fully Flexible Smart Gloves and Deep Learning Motion Intention Prediction for Ultralow Latency VR Interactions-Reference-Cited by-同舟云学术

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Fully Flexible Smart Gloves and Deep Learning Motion Intention Prediction for Ultralow Latency VR Interactions

Published:2023-09 Issue:9 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Li Yang¹^ORCID,Jiang Jiacheng¹,Wang Ruoqin¹^ORCID,Mao Zanxiang¹,Fang Lin¹,Qi Yirui¹,Zhang Junsheng²,Wu Chili³^ORCID,Yu Hongyu¹^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

2. HKUST Fok Ying Tung Research Institute, Guangzhou, China

3. Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10214959/10217051.pdf?arnumber=10217051

Reference18 articles.

1. An Introductory Review of Deep Learning for Prediction Models With Big Data

2. Development of a Smart Glove with Robust Bending Sensing Units for Advanced Human-Machine Interfacing

3. An LSTM network for highway trajectory prediction

4. A survey on LSTM memristive neural network architectures and applications

5. Capacitive Stretchable Strain Sensor With Low Hysteresis Based on Wavy-Shape Interdigitated Metal Electrodes

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1. A flexible sensor fabricated by laser-induced graphene on PI fabric with macroscopic crack array for GF modulation strategy;Sensors and Actuators A: Physical;2024-09

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