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Internet of Things and Deep Learning Enabled Elderly Fall Detection Model for Smart Homecare

Thavavel Vaiyapuri, E. Laxmi Lydia, Mohamed Yacin Sikkandar, Vicente Garcia Diaz, Irina V. Pustokhina, Denis A. Pustokhin
2021 IEEE Access  
Paper Contributions This paper presents an intelligent IoT enabled elderly fall detection model using optimal deep convolutional neural network (IMEFD-ODCNN) for smart homecare.  ...  The key contribution of the paper is given as follows.  Propose a novel IMEDF-ODCNN model for elderly fall detection in smart homecare  Develop a hyperparameter tuned Squeezet based feature extractor  ...  CONCLUSION This paper has designed a new IMEFD-ODCNN model to detect fall events in smart homecare of elderly people.  ... 
doi:10.1109/access.2021.3094243 fatcat:ma6oexbyabdxti4y3hqbsvzrfi

Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies

Geng Yang, Zhibo Pang, M. Jamal Deen, Mianxiong Dong, Yuanting Zhang, Nigel Hamilton Lovell, Amir M. Rahmani
2020 IEEE journal of biomedical and health informatics  
As an example of such revolution, new generation homecare robotic systems (HRS) based on the cyber-physical systems (CPS) with higher speed and more intelligent execution are emerging.  ...  The latest progress in related enabling technologies is reviewed, including artificial intelligence, sensing fundamentals, materials and machines, cloud computing and communication, as well as motion capture  ...  Using a smartphone-based pocket fall accident detector to detect fall is typical, as shown in Fig. 6(a) [130] . These applications improve the quality of life for the elderly. B.  ... 
doi:10.1109/jbhi.2020.2990529 pmid:32340971 fatcat:ifswdi5vsbcmfgl7pra3pbwrje

Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models

Meriem Zerkouk, Belkacem Chikhaoui
2020 Sensors  
In this paper, we investigate a variety of deep learning models such as Long Short Term Memory (LSTM), Convolutional Neural Network (CNN), CNN-LSTM and Autoencoder-CNN-LSTM for identifying and accurately  ...  We present an experimental evaluation of these models performance in identifying and predicting elderly persons abnormal behaviors in smart homes, via extensive testing on two public data sets, taking  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20082359 pmid:32326349 fatcat:5t2vq5okszer7eyamx35ismzxe

Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies

Terence K.L. Hui, R. Simon Sherratt, Daniel Díaz Sánchez
2017 Future generations computer systems  
The recent boom in the Internet of Things (IoT) will turn Smart Cities and Smart Homes (SH) from hype to reality.  ...  From the result of a recent research survey on SH and IoT technologies, this paper defines the major requirements for building SH.  ...  Sensor Networks for Smart Homes The networking of Things such as sensors and actuators is the basic enabler for M2M connectivity.  ... 
doi:10.1016/j.future.2016.10.026 fatcat:pyoiacst75hsxj7te3h2ucrq2q

A Deep Learning Approach Towards Railway Safety Risk Assessment

Hamad Alawad, Sakdirat Kaewunruen, Min An
2020 IEEE Access  
The proposed model offers a beneficial method for obtaining more accurate motion data, and it detects adverse conditions as soon as possible by capturing fall, slip and trip (FST) events in the stations  ...  supervised machine learning model to identify risks.  ...  Moreover, these datagathering systems and their configuration can integrate with the Internet of Things (IoT), which is a framework suitable for big data technology, smart stations, smart cities and smart  ... 
doi:10.1109/access.2020.2997946 fatcat:3vbfwdgygrhfvajlwnftgyokwm

Review on the Application of Artificial Intelligence in Smart Homes

Xiao Guo, Zhenjiang Shen, Yajing Zhang, Teng Wu
2019 Smart Cities  
Smart home and artificial intelligence technologies are developing rapidly, and various smart home products associated with artificial intelligence (AI) improved the quality of living for occupants.  ...  In this paper, we aim to answer the research questions of "what is the trend of smart home technology and products" and "what is the relationship between literature and products in smart homes with AI"  ...  houses: monitoring elderly daily behavior for fall detecting 2018 Computer Science Healthcare Prediction-Making Automated assessment of cognitive health using smart home technologies 2013  ... 
doi:10.3390/smartcities2030025 fatcat:obzeeqci2rc2zeenjdx3khet4q

Intelligent robotics - misconceptions, current trends, and opportunities

Clarence W. de Silva
2021 Intelligence & Robotics  
, Homecare, Surgery, Assistive Devices, and Active Prosthesis.  ...  With subsequent research, developments, and curricular enhancement in Engineering and Computer Science and the resurgence of Artificial Intelligence, particularly machine learning, Robotics has found numerous  ...  , Real-time Internet of Things, and Edge AI.  ... 
doi:10.20517/ir.2021.01 fatcat:xjhcazhrxzaidbwmgmmdzst23e

NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review

Antonio Ruano, Alvaro Hernandez, Jesus Ureña, Maria Ruano, Juan Garcia
2019 Energies  
The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes  ...  As well as complementing previous reviews on the NILM field and providing a discussion of the applications of NILM in HEMS and AAL, this paper provides guidelines for future research in these topics.  ...  the Internet of Things, smart grids and demand response energy programs.  ... 
doi:10.3390/en12112203 fatcat:kvwy37rhkjethenc25i7kmc3ya


2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
Internet-of-Things-enabled Smart Cameras Kuan-Ting Lai (HiMax Corp., Taiwan); Jirayu Petchhan and Ching-Hu Lu (National Taiwan University of Science and Technology, Taiwan)  ...  Home care based on the Internet of Things technology is one of the solutions to the problem of elderly living alone.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

A Survey of Data Semantization in Internet of Things

Feifei Shi, Qingjuan Li, Tao Zhu, Huansheng Ning
2018 Sensors  
With the development of Internet of Things (IoT), more and more sensors, actuators and mobile devices have been deployed into our daily lives.  ...  Therefore, adding semantics to Internet of Things becomes an overwhelming tendency.  ...  Acknowledgments: The work was supported by the National Natural Science Foundation of China (61471035, 61076102).  ... 
doi:10.3390/s18010313 pmid:29361772 pmcid:PMC5795333 fatcat:pevhf2ryvnc5bgzrozld3dlix4

An IoT-Aware Architecture for Collecting and Managing Data Related to Elderly Behavior

Aitor Almeida, Alessandro Fiore, Luca Mainetti, Ruben Mulero, Luigi Patrono, Piercosimo Rametta
2017 Wireless Communications and Mobile Computing  
Information and Communication Technologies (ICTs) enabling the Internet of Things (IoT) can be adopted to create frameworks for monitoring elderly behavior which, alongside normal clinical procedures,  ...  As part of the City4Age project, this work describes a novel approach for collecting and managing data about elderly behavior during their normal activities.  ...  Acknowledgments The authors acknowledge the contributions of all partners of the City4Age Consortium: many of the ideas and concepts described in this work are due to them.  ... 
doi:10.1155/2017/5051915 fatcat:5d4gc3x4afdoncjwtck7b7huey

2020 Index IEEE Journal of Biomedical and Health Informatics Vol. 24

2020 IEEE journal of biomedical and health informatics  
., and Inan, O.T., A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning; JBHI May 2020 1296-1309 Herskovic, V., see Saint-Pierre  ...  2020 3529-3538 Honda, O., see Xu, R., 2041-2052 Hong, H., see 2833-2843 Hong, H., see Xue, B., JBHI Feb. 2020 614-625 Hoog Antink, C., Mai, Y., Aalto, R., Bruser, C., Leonhardt, S., Oksala, N., and  ...  ., +, JBHI July 2020 1858-1859 Guest Editorial: Internet of Medical Things for Health Engineering.  ... 
doi:10.1109/jbhi.2020.3048808 fatcat:iifrkwtzazdmboabdqii7x5ukm

Digital Transformation and the New Normal in China: How Can Enterprises Use Digital Technologies to Respond to COVID-19?

Ching-Hung Lee, Dianni Wang, Kevin Desouza, Richard Evans
2021 Sustainability  
This paper examines the role that digital technologies can play in responding to pandemics and outlines four classifications of digital technologies for pandemic response.  ...  The COVID-19 pandemic, a worldwide health and humanitarian crisis, has created unique challenges for citizens, governments, and organizations alike.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su131810195 fatcat:542rnfax2rgihpoyqurzu4bsf4

Indirect Recognition of Predefined Human Activities

Ojan Majidzadeh Gorjani, Antonino Proto, Jan Vanus, Petr Bilik
2020 Sensors  
KNX (Konnex) standard-based devices were selected for smart home automation and data collection.  ...  The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants.  ...  An increase in the number of sensors and integration with the Internet of Things (IoT) within smart homes creates new possibilities for improving the daily life of the residents, such as monitoring the  ... 
doi:10.3390/s20174829 pmid:32859035 pmcid:PMC7506661 fatcat:wjt46eu2obhadbcig5vgn2ngsi


2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
This paper proposes to use deep transfer learning (DTL) "layer freezing" method to build deep neural network (DNN) models for a target domain with few data on the basis of well-trained DNN models for a  ...  In this research, we propose a forensic scheme to detect and even locate image manipulations based on deep-learning-based camera model identification.  ...  Additionally, smart homes currently use different fall detection strategies to improve security.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq
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