EchoGest: A Highly Scalable Unseen Gesture Recognition System Based on Feature-Wise Transformation-Reference-Cited by-同舟云学术

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EchoGest: A Highly Scalable Unseen Gesture Recognition System Based on Feature-Wise Transformation

Published:2024-09-15 Issue:18 Volume:11 Page:29709-29727
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Yunshu¹^ORCID,Chen Weiyu¹,Lu Weiwei¹,He Yanbo¹,Zou Yongpan¹^ORCID,Wu Kaishun²^ORCID,Leung Victor C. M.³^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China

2. Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China

3. Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, Guangdong, China

Funder

China NSFC

Guangdong NSF

Guangdong Provincial Key Laboratory of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things

Project of DEGP

Guangdong “Pearl River Talent Recruitment Program”

Guangdong “Pearl River Talent Plan”

Tencent “Rhinoceros Birds”—Scientific Research Fund for Young Researchers of Shenzhen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10660568/10538001.pdf?arnumber=10538001

Reference51 articles.

1. Airwriting: Hands-Free Mobile Text Input by Spotting and Continuous Recognition of 3d-Space Handwriting with Inertial Sensors

2. Acoustic-based sensing and applications: A survey

3. Improved Few-Shot Visual Classification

4. Fully-Convolutional Siamese Networks for Object Tracking

5. Your Table Can Be an Input Panel

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