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Human Fall Detection Using Machine Learning Methods: A Survey

Komal Singh, Akshay Rajput, Sachin Sharma
2019 International journal of mathematical, engineering and management sciences  
A human fall detection system can be designed using one of these technologies: wearable based device, context-aware based and vision based methods.  ...  In this paper, we discuss different machine learning models designed to detect human fall using these techniques.  ...  Acknowledgement The authors express their gratitude to the reviewers for their valuable suggestions towards the improvement in the quality of the paper.  ... 
doi:10.33889/ijmems.2020.5.1.014 fatcat:aj6vu47yvnbcxo7aem524e5kia

Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method

Hadi Sadoghi Yazdi, Hessam Jahani Fariman, Jaber Roohi
2012 ISRN Artificial Intelligence  
Main innovation in this paper is gait recognition using leg gesture classification which is invariant to covariate conditions during walking sequence and just focuses on underbody motions and a neuro-fuzzy  ...  This paper presents a human gait recognition algorithm based on a leg gesture separation.  ...  If the background is known a simple thresholding yields to the foreground. One suitable way in object detection is background estimation.  ... 
doi:10.5402/2012/289721 fatcat:kedlek4e5jadzhwaabwtrdtymq

Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art

Shireen Y. Elhabian, Khaled M. El-Sayed, Sumaya H. Ahmed
2010 Recent Patents on Computer Science  
In this paper, we survey many existing schemes in the literature of background removal, surveying the common pre-processing algorithms used in different situations, presenting different background models  ...  , and the most commonly used ways to update such models and how they can be initialized.  ...  The entropy based methods result in different algorithms which use the entropy of the foreground-background regions or the cross-entropy between the original and binarized image, etc.  ... 
doi:10.2174/1874479610801010032 fatcat:ooixyvlp75apfkxjdwv42c2nre

Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art

Sumaya Ahmed, Khaled El-Sayed, Shireen Elhabian
2008 Recent Patents on Computer Science  
In this paper, we survey many existing schemes in the literature of background removal, surveying the common pre-processing algorithms used in different situations, presenting different background models  ...  , and the most commonly used ways to update such models and how they can be initialized.  ...  The entropy based methods result in different algorithms which use the entropy of the foreground-background regions or the cross-entropy between the original and binarized image, etc.  ... 
doi:10.2174/2213275910801010032 fatcat:of6vvnujenelzjc76pfzuvm37u

Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing Using Different Sensor Types

Jun Han, Albert Jin Chung, Manal Kumar Sinha, Madhumitha Harishankar, Shijia Pan, Hae Young Noh, Pei Zhang, Patrick Tague
2018 2018 IEEE Symposium on Security and Privacy (SP)  
In this paper, we develop a new context-based pairing mechanism called Perceptio that uses time as the common factor across differing sensor types.  ...  Devices make use of the observed contextual information to provide entropy for Perceptio's pairing protocol.  ...  ACKNOWLEDGEMENTS This research was supported in part by the National Science Foundation (under grants CNS-1645759 and CMMI-1653550), University Transportation Center, Intel and Google.  ... 
doi:10.1109/sp.2018.00041 dblp:conf/sp/HanCSHPNZT18 fatcat:4mcpwpraarhslegodpj6eepytq

Surface Electromyography Signal Processing and Classification Techniques

Rubana Chowdhury, Mamun Reaz, Mohd Ali, Ashrif Bakar, Kalaivani Chellappan, Tae Chang
2013 Sensors  
Detection, processing and classification analysis in electromyography (EMG) is very desirable because it allows a more standardized and precise evaluation of the neurophysiological, rehabitational and  ...  This study then compares the numerous methods of analyzing EMG signals, in terms of their performance.  ...  Acknowledgments The author would like to thank and acknowledge the medical services of Teknologi Kasihatan dan Perubatan Research Group.  ... 
doi:10.3390/s130912431 pmid:24048337 pmcid:PMC3821366 fatcat:dpmex65sbfgsljq5edqn3qzmki

An image processing system for driver assistance

U Handmann, T Kalinke, C Tzomakas, M Werner, W.v Seelen
2000 Image and Vision Computing  
Three main tasks, namely initial segmentation (object detection), object tracking and object classification are realized by integration in the sequential phase and by fusion in the parallel phase.  ...  The approach is divided into a sequential and a parallel phase of sensor and information processing.  ...  The areas of objects and background are cut out by thresholding. A detection of objects and the free driving space on the lane can be done.  ... 
doi:10.1016/s0262-8856(99)00032-3 fatcat:gnfbqzni5vh7bfmks67qp4533a

Myoelectric control systems—A survey

Mohammadreza Asghari Oskoei, Huosheng Hu
2007 Biomedical Signal Processing and Control  
This paper reviews recent research and development in pattern recognition-and non-pattern recognition-based myoelectric control, and presents state-of-the-art achievements in terms of their type, structure  ...  Myoelectric control is an advanced technique concerned with the detection, processing, classification, and application of myoelectric signals to control human-assisting robots or rehabilitation devices  ...  In this method, rectified raw signals are compared with thresholds that are obtained based on the mean power of background noise.  ... 
doi:10.1016/j.bspc.2007.07.009 fatcat:njsfxw7ykvcsdnaetq2k2ddh7e

Sensors-Based Ambient Assistant Living via E-Monitoring Technology

Sadaf Hafeez, Yazeed Yasin Ghadi, Mohammed Alarfaj, Tamara al Shloul, Ahmad Jalal, Shaharyar Kamal, Dong-Seong Kim
2022 Computers Materials & Continua  
These features sets are then normalized using min-max normalization and optimized using the Fuzzy optimization method.  ...  Such systems have been developed in the past with the use of various wearable inertial sensors and depth cameras to capture the human actions.  ...  Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/cmc.2022.023841 fatcat:fwqq36cqmvgnhdddbrfxudhxoa

Wavelets for Electrocardiogram: Overview and Taxonomy

Wei Li
2019 IEEE Access  
In order to manifest the value of these methods, this paper contributes an overview and taxonomy on them.  ...  This paper does the comprehensive summary and systematic categorization on the methods for signal denoising, wave detection, and heartbeat classification according to the deep analysis of their methodological  ...  c: TEMPORAL THRESHOLDING AND MORPHOLOGICAL THRESHOLDING ARE COMPLEMENTARY TO THE WAVELET BASED THRESHOLDING FOR DETECTING THE WAVES By taking advantage of the temporal and the morphological characteristics  ... 
doi:10.1109/access.2018.2877793 fatcat:2ijgapgyyrewhphdrxvid23f4e

Rough Sets and Near Sets in Medical Imaging: A Review

A.E. Hassanien, A. Abraham, J.F. Peters, G. Schaefer, C. Henry
2009 IEEE Transactions on Information Technology in Biomedicine  
This paper presents a review of the current literature on rough set and near set-based approaches to solving various problems in medical imaging such as medical image segmentation, object extraction and  ...  Near sets offer a generalization of traditional rough set theory and a new approach to classifying perceptual objects by means of features in solving medical imaging problems.  ...  Previous work on entropic thresholding is based on Shannon's entropy.  ... 
doi:10.1109/titb.2009.2017017 pmid:19304490 fatcat:2yzka5fe3rg5xn7z5iqtk7zulu

Video Deraining for Mutual Motion by Fast Bilateral Filtering on Spatiotemporal Features

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The proposal of the scene categorization not only classifies the scenes based on mutual motion between camera assembly and object of interest, but it also triggers and influences the algorithm of deraining  ...  The second part of the current work proposes a novel method of processing rainy videos in different mutual motion scenarios by dynamic bilateral filtering and deep auto-encoder on time-sliced video frames  ...  [11] , and Thakoor et al. [12] used the same to detect moving objects with static camera in any background or terrain.  ... 
doi:10.35940/ijitee.b7205.019320 fatcat:glqhfwndsfhotik6wxrakaf65a

Object-oriented processing of CRM precipitation forecasts by stochastic filtering

Philippe Arbogast, Olivier Pannekoucke, Laure Raynaud, Renaud Lalanne, Etienne Mémin
2016 Quarterly Journal of the Royal Meteorological Society  
The present approach uses the particle filter method to recognize patterns based on predefined texture or spatial variability of the model output.  ...  In order to cope with small-scale unpredictable details of mesoscale structures in cloud-resolving models, it is suggested in this paper to process the model outputs following a fuzzy object-oriented approach  ...  Object probabilities have been calculated based on the fuzzy objects detected in the 6h accumulated precipitation field of each member.  ... 
doi:10.1002/qj.2871 fatcat:rbk4swlt4bh6ho7k76ibyxba7m

Human being emotion in cognitive intelligent robotic control. Pt.I: Quantum/ soft computing approach

Alla Mamaeva, Andrey Shevchenko, Sergey Ulyanov, Maria Feng, Kazuo Yamafuji
2019 System Analysis in Science and Education  
Developed information technology examined with special (difficult in diagnostic practice) examples emotion state estimation of autism children (ASD) and dementia and background of the knowledge bases design  ...  The role and necessity of applying intelligent information technologies development based on computational intelligence toolkits in the task of objective estimation of a general psychophysical state of  ...  The structure based on fuzzy and cognitive controllers, includes quantum fuzzy inference with quantum genetic algorithm in Box "Quantum computing KB optimizer" and are the background of quantum cognitive  ... 
doi:10.37005/2071-9612-2019-4-87-131 fatcat:swpe36e3hjdidcenqhyq5mgnii

A review of segmentation methods in short axis cardiac MR images

Caroline Petitjean, Jean-Nicolas Dacher
2011 Medical Image Analysis  
This paper is a review of fully and semiautomated methods performing segmentation in short axis images using a cardiac cine MRI sequence.  ...  We thus propose an original categorization for cardiac segmentation methods, with a special emphasis on what level of external information is required (weak or strong) and how it is used to constrain segmentation  ...  Extension of the model to the temporal dimension is proposed in , with the introduction of 2D+time Active Appearance Motion Model (AAMM).  ... 
doi:10.1016/j.media.2010.12.004 pmid:21216179 fatcat:fe6guru7ajb3dlmg2himj4zi3a
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