Hybrid Approach for Fall Detection Based on Machine Learning
- 1 January 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- UP-Fall Detection Dataset: A Multimodal ApproachSensors, 2019
- Machine Learning from Theory to Algorithms: An OverviewJournal of Physics: Conference Series, 2018
- A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and ChallengesIEEE Communications Surveys & Tutorials, 2018
- Machine Learning in Agriculture: A ReviewSensors, 2018
- Fault diagnosis of wind turbine structures using decision tree learning algorithms with big dataPublished by Taylor & Francis Ltd ,2018
- Vision-Based Human Action Classification Using Adaptive Boosting AlgorithmIEEE Sensors Journal, 2018
- A Movement Decomposition and Machine Learning-Based Fall Detection System Using Wrist Wearable DeviceIEEE Sensors Journal, 2018
- A direction-sensitive fall detection system using single 3D accelerometer and learning classifierPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Fast Decision Tree AlgorithmAdvances in Electrical and Computer Engineering, 2014
- Fall Detection on Embedded Platform Using Kinect and Wireless AccelerometerLecture Notes in Computer Science, 2012