Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection-Reference-Cited by-同舟云学术

Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection

Author:

Yu Xiaoqun¹,Ma Tiejun¹,Jang Jaehyuk¹,Xiong Shuping¹^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Funder

Institute for Information & Communications Technology Promotion

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference43 articles.

5. Augmenting wearable sensor data with physical constraint for DNN-based human-action recognition;ohashi;Proc ICML 2017 Times Ser Workshop,2017

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5. Comprehensive Performance Analysis of Machine Learning Models in Fall Detection Using Gait Data;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25