HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices-Reference-Cited by-同舟云学术

HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices

Published:2022-10-01 Issue:19 Volume:9 Page:19529-19544
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Jie¹^ORCID,Li Yang¹^ORCID,Xiong Haoyi²,Dou Dejing²^ORCID,Miao Chunyan³^ORCID,Zhang Daqing¹^ORCID

Affiliation:

1. Key Laboratory of High Confidence Software Technologies, Ministry of Education, School of Computer Science, Peking University, Beijing, China

2. Big Data Laboratory, Baidu Inc., Beijing, China

3. School of Computer Science and Engineering and the Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China A3 Foresight Program

PKU-Baidu Fund

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/ielx7/6488907/9899827/09762761.pdf?arnumber=9762761

Reference42 articles.

1. Robust extreme learning machine for modeling with unknown noise

2. On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach

3. WiDir

4. What Is a Savitzky-Golay Filter? [Lecture Notes]

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