Cross-Subject Activity Detection for COVID-19 Infection Avoidance Based on Automatically Annotated IMU Data-Reference-Cited by-同舟云学术

Cross-Subject Activity Detection for COVID-19 Infection Avoidance Based on Automatically Annotated IMU Data

Published:2022-07-01 Issue:13 Volume:22 Page:13125-13135
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Rizk Hamada¹^ORCID,Amano Tatsuya²^ORCID,Yamaguchi Hirozumi²,Youssef Moustafa³^ORCID

Affiliation:

1. Department of Computer and Control Engineering, Tanta University, Tanta, Egypt

2. Osaka University, Suita, Japan

3. Department of Computer Science and Engineering, AUC, Cairo, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9812846/09777982.pdf?arnumber=9777982

Reference62 articles.

1. Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks

2. Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening

3. FaceSight: Enabling Hand-to-Face Gesture Interaction on AR Glasses with a Downward-Facing Camera Vision

4. Hand-Over-Face Input Sensing for Interaction with Smartphones through the Built-in Camera

5. Most self-touches are with the nondominant hand

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