Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework
Author:
Affiliation:
1. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China
2. Huawei Technologies Research and Development (UK) Ltd., Huawei Company, London, U.K
3. Darwin College, Cambridge University, Cambridge, U.K
Funder
National Natural Science Foundation of China
Beihang University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9913253/09758071.pdf?arnumber=9758071
Reference65 articles.
1. Mask R-CNN
2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. Personalized Variable Gain Control With Tremor Attenuation for Robot Teleoperation
4. Effect of training on the quality of teleoperator (QoT)
5. Physical Fatigue Analysis of Assistive Robot Teleoperation via Whole-body Motion Mapping
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