Survey and evaluation of real-time fall detection approaches
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5418379/5423051/05423081.pdf?arnumber=5423081
Cited by 54 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. Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations: Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall Detection;Sensors;2024-08-20
2. Development of artificial intelligence edge computing based wearable device for fall detection and prevention of elderly people;Heliyon;2024-04
3. Human fall detection algorithm based on random forest and MPU6050;Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023);2024-02-19
4. Monitoring Senior Citizens Using IoT and ML;Lecture Notes in Electrical Engineering;2023
5. Eye‐Tact: An ensemble based multi‐model and multidimensional approach for fall prediction and evaluation in Parkinson's Disease patients;Expert Systems;2022-11-05
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