Combining Clustering Undersample and Ensemble Learning for Wearable Fall Detection
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information Technology,Beijing,China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872285.pdf?arnumber=9872285
Reference21 articles.
1. Machine Learning-Based Pre-Impact Fall Detection Model to Discriminate Various Types of Fall
2. Deep Learning for Sensor-based Human Activity Recognition
3. A research on automatic human fall detection method based on wearable inertial force information acquisition system
4. Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing Cascade-AdaBoost-SVM Classifier
5. Preimpact Fall Detection for Elderly Based on Fractional Domain
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2. A Fall Detection System using Hybrid Inertial and Physiological Signal Classifiers for Dynamic Environments;2023 IEEE International Symposium on Smart Electronic Systems (iSES);2023-12-18
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