Data-driven prediction system for an environmental smartification approach to child fall accident prevention in a daily living space-Reference-Cited by-同舟云学术

Data-driven prediction system for an environmental smartification approach to child fall accident prevention in a daily living space

Published:2019 Issue: Volume:160 Page:126-133
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Nose Tsubasa,Kitamura Koji,Oono Mikiko,Ohkura Michiko,Nishida Yoshifumi

Funder

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Tokyo Fire Department, “Actual condition of daily life accident from the viewpoint of emergency transportation data”, http://www.tfd.metro.tokyo.jp/lfe/topics/nichijou.html.

2. “World report on child injury prevention”;Sminkey;Injury prevention,2008

3. “Supervision and risk of unintentional injury in young children”;Schnitzer;Injury prevention,2015

4. “Supervising for home safety program: a randomized controlled trial (rct) testing community-based group delivery”;Morrongiello;Journal of pediatric psychology,2016

5. “DeepPose: human pose estimation via deep neural networks”;Toshev;The IEEE conference on computer vision and pattern recognition,2014

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fall Prediction and Prevention: Smart Onesie;2023 International Conference on Future Communications and Networks (FCN);2023-12-17

2. A Study on the Application of OpenPose for the Prevention of Collision of VR HMD Wearers;2023 International Conference on Electronics, Information, and Communication (ICEIC);2023-02-05

3. Cluster analysis of kitchen cabinet operation posture based on OpenPose technology;International Journal of Industrial Ergonomics;2022-09

4. A review on supervised machine learning for accident risk analysis: Challenges in Malaysia;Process Safety Progress;2022-02-23

5. Artificial intelligence technologies for more flexible recommendation in uniforms;Data Technologies and Applications;2022-01-04