An automatic human fall detection approach using RGBD cameras

2016 5th International Conference on Computer Science and Network Technology (ICCSNT) ◽

10.1109/iccsnt.2016.8070265 ◽

2016 ◽

Author(s):

Shugang Zhang ◽

Zhen Li ◽

Zhiqiang Wei ◽

Shuang Wang

Keyword(s):

Fall Detection ◽

Detection Approach ◽

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Unsupervised Fall Detection Approach Using Human Skeletons

10.1109/icrai54018.2021.9651467 ◽

2021 ◽

Author(s):

Mishal Fatima ◽

Muhammad Haroon Yousaf ◽

Amanullah Yasin ◽

Sergio A. Velastin

Keyword(s):

Fall Detection ◽

Detection Approach

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Privacy Preserving Automatic Fall Detection for Elderly Using RGBD Cameras

Lecture Notes in Computer Science - Computers Helping People with Special Needs ◽

10.1007/978-3-642-31522-0_95 ◽

2012 ◽

pp. 625-633 ◽

Author(s):

Chenyang Zhang ◽

Yingli Tian ◽

Elizabeth Capezuti

Keyword(s):

Fall Detection ◽

Privacy Preserving ◽

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Pre-impact fall detection approach using dynamic threshold based and center of gravity in multiple Kinect viewpoints

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) ◽

10.1109/jcsse.2017.8025955 ◽

2017 ◽

Author(s):

Nuth Otanasap ◽

Poonpong Boonbrahm

Keyword(s):

Fall Detection ◽

Center Of Gravity ◽

Dynamic Threshold ◽

Detection Approach

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An Enhanced Fall Detection Approach Based on Cost Sensitivity Analysis

2011 First ACIS International Symposium on Software and Network Engineering ◽

10.1109/ssne.2011.30 ◽

2011 ◽

Author(s):

Shuai Huang ◽

Yujiu Yang ◽

Wenhuang Liu

Keyword(s):

Sensitivity Analysis ◽

Fall Detection ◽

Detection Approach ◽

Cost Sensitivity

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A new real-time fall detection approach using fuzzy logic and a neural network

Proceedings of the 6th International Workshop on Wearable, Micro, and Nano Technologies for Personalized Health ◽

10.1109/phealth.2009.5754822 ◽

2009 ◽

Author(s):

Christoph Dinh ◽

Matthias Struck

Keyword(s):

Neural Network ◽

Fuzzy Logic ◽

Real Time ◽

Fall Detection ◽

Detection Approach ◽

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Social Group Optimized Machine-Learning Based Elderly Fall detection Approach Using Interdisciplinary Time-Series Features

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) ◽

10.1109/icict4sd50815.2021.9396919 ◽

2021 ◽

Author(s):

Md. Jaber Al Nahian ◽

Tapotosh Ghosh ◽

Md. Hasan Al Banna ◽

Mohammed Nasir Uddin ◽

Md. Maynul Islam ◽

...

Keyword(s):

Machine Learning ◽

Time Series ◽

Social Group ◽

Fall Detection ◽

Detection Approach

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Fall Detection Approach Using Motion Sensors of Smartphone

The Journal of Korean Institute of Information Technology ◽

10.14801/jkiit.2019.17.7.47 ◽

2019 ◽

Vol 17 (7) ◽

pp. 47-54

Author(s):

Jung-Gil Cho

Keyword(s):

Fall Detection ◽

Motion Sensors ◽

Detection Approach

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Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2017.8037280 ◽

2017 ◽

Author(s):

Andreas Ejupi ◽

Chantel Galang ◽

Omar Aziz ◽

Edward J. Park ◽

Stephen Robinovitch

Keyword(s):

Pressure Sensor ◽

Barometric Pressure ◽

Fall Detection ◽

Detection Approach

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An improved fall detection approach for elderly people based on feature weight and Bayesian classification

2016 IEEE International Conference on Mechatronics and Automation ◽

10.1109/icma.2016.7558609 ◽

2016 ◽

Author(s):

Hanqing Wang ◽

Min Li ◽

Jie Li ◽

Jinge Cao ◽

Zhongya Wang

Keyword(s):

Elderly People ◽

Fall Detection ◽

Bayesian Classification ◽

Detection Approach ◽

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Fall detection approach based on combined displacement of spatial features for intelligent indoor surveillance

Multimedia Tools and Applications ◽

10.1007/s11042-021-11646-w ◽

2022 ◽

Author(s):

Anurag De ◽

Ashim Saha ◽

Praveen Kumar

Keyword(s):

Fall Detection ◽

Spatial Features ◽

Detection Approach

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