Fall Detection Method Based on TBM and SVM
Author:
Affiliation:
1. Shenyang Aerospace University,Department of Automation,Shenyang,110136
2. AVIC Shenyang Aircraft Corporation,Manufacturing engineering Department,Shenyang,110034
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901974.pdf?arnumber=9901974
Reference20 articles.
1. FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning
2. A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials
3. Fall detection algorithms based on wearable device: a review;hu;Journal of Zhejiang University SCIENCE,2018
4. The MobiAct Dataset: Recognition of Activities of Daily Living using Smartphones
5. Data set for fall events and daily activities from inertial sensors
Cited by 1 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. An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM);IEEE Access;2022
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