Context-based fall detection and activity recognition using inertial and location sensors
Author:
Affiliation:
1. Department of Intelligent Systems, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
2. Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
Publisher
IOS Press
Subject
Software
Cited by 19 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. Comparison of Machine Learning Algorithms for Position-Oriented Human Fall Detection;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19
2. Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data;Advances in Materials Science and Engineering;2022-10-10
3. Sensor-based fall detection systems: a review;Journal of Ambient Intelligence and Humanized Computing;2021-04-10
4. The Smart Fall Detection Mechanism for Healthcare Under Free-Living Conditions;Wireless Personal Communications;2021-01-03
5. AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment;MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services;2020-12-07
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