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Semantic Key Pre-Distribution Protocol For Multi-Phase Wireless Sensor Networks

Carlos Ramos, Zita Maria Almeida do Vale
2011 Asia-pacific Journal of Multimedia services convergent with Art Humanities and Sociology  
In addition to independent recognition using either of individual templates, we combine the real and synthetic temporal templates for refining the performance of human recognition.  ...  In this paper, we propose a novel temporal template, called Chrono-Gait Image (CGI), to describe the spatio-temporal walking pattern for human identification by gait.  ...  Semantic Key Pre-Distribution Protocol For Multi-Phase Wireless Sensor Networks Individual height and build determine the position of his or her centroid, which be mapped by the scaled height ratio between  ... 
doi:10.14257/ajmscahs.2011.06.05 fatcat:e2xh7cjq2rb35ixm7wh5x75eou

Applications of machine learning techniques to a sensor-network-based prosthesis training system

Chenn-Jung Huang, Yu-Wu Wang, Tz-Hau Huang, Chin-Fa Lin, Ching-Yu Li, Heng-Ming Chen, Po Chiang Chen, Jia-Jian Liao
2011 Applied Soft Computing  
An embedded chip is used as a core to establish a body area sensor network for the prosthesis training system.  ...  However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life  ...  Acknowledgments The authors would like to thank the National Science Council of the Republic of China, Taiwan for financially supporting this research under Contract nos.  ... 
doi:10.1016/j.asoc.2010.12.025 pmid:32362800 pmcid:PMC7185859 fatcat:mxwma4wopjehrhurrj74kmruqq

Application of data fusion techniques and technologies for wearable health monitoring

Rachel C. King, Emma Villeneuve, Ruth J. White, R. Simon Sherratt, William Holderbaum, William S. Harwin
2017 Medical Engineering and Physics  
To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs.  ...  The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring.  ...  This study did not involve human subjects.  ... 
doi:10.1016/j.medengphy.2016.12.011 pmid:28237714 fatcat:mqllh4yagnhgdn7vs4zcoqzkim

Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology

Mulin Yin, Fangqing Wen
2021 International Journal of Antennas and Propagation  
With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and applied in daily life.  ...  Since the energy consumption of sensor networks is a bottleneck problem that limits its development, this paper designs a multimodal collaborative sensing method for the application scenarios of elderly  ...  Human behavior recognition based on sensor equipment is mainly used in the fields of medical monitoring, sports medicine, elderly care, and gait analysis [6] . e development of wireless communication  ... 
doi:10.1155/2021/4200137 fatcat:2fhyw3llfncmzg3jq77ekr7drm

Table of contents

2014 2014 International Conference on Informatics, Electronics & Vision (ICIEV)  
Based on Acceptance Factor for Wireless Cellular Networks 402 Computational Complexity Analysis Of H.264/AVC Video Compression By DC Mode Prediction 403 Analysis of Nonlinear Three-Layer Optical Waveguide  ...  Control System with Application of Image Processing Techniques 284 Implementation of Flash Flood Monitoring System Based on Distributed Sensor Network in Bangladesh 286 Motion Analysis for Moving  ...  Implementation of vision based intelligent home automation and security system. 436 Analysis of the local frequency spectrum for the chirp signal 439 An Review of the e-JIKEI Network: Security camera system  ... 
doi:10.1109/iciev.2014.6850868 fatcat:y4gdctlg3zgajc3ge3drl6itcy

Recent Progress in Sensing and Computing Techniques for Human Activity Recognition and Motion Analysis

Zhaozong Meng, Mingxing Zhang, Changxin Guo, Qirui Fan, Hao Zhang, Nan Gao, Zonghua Zhang
2020 Electronics  
The recent scientific and technical advances in Internet of Things (IoT) based pervasive sensing and computing have created opportunities for the continuous monitoring of human activities for different  ...  The emergence of some novel sensing devices featuring miniature size, a light weight, and wireless data transmission, the availability of wireless communication infrastructure, the progress of machine  ...  Acknowledgments: The authors would like to thank Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities, Key Laboratory of Ministry of Industry, and Information Technology  ... 
doi:10.3390/electronics9091357 fatcat:gckfvjlykvdubj65l4fq5wcy6i

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M. Jamal Deen
2022 Sensors  
This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems  ...  The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.  ...  ) • Low cost • Wireless Table 3 . 3 Key points pertaining to various existing insole-based sensor systems used for gait and activity monitoring.  ... 
doi:10.3390/s22020438 pmid:35062398 pmcid:PMC8780030 fatcat:uhlqpgmhpncllijyuf34od5g3q

Identity recognition by walking outdoors using multimodal sensor insoles

Kamen Ivanov, Zhanyong Mei, Martin Penev, Ludwig Lubich, Omisore Olatunji Mumini, Sau Nguyen Van, Yan Yan, Lei Wang
2020 IEEE Access  
As the number of force sensors is low, the spatial resolution is also low.  ...  Also, synchronizing the timestamp clocks of independent sensor nodes communicating over wireless interface could be challenging due to the unpredictable delays typical for wireless transmission.  ...  ACKNOWLEDGEMENT The authors would like to thank Gergana Shehtova for help in preparing the illustration of Fig. 3 .  ... 
doi:10.1109/access.2020.3016970 fatcat:ermdzub4hzgohmqsshfljmlw6q

Walking Behavior Change Detector for a "Smart" Walker

Viviana Weiss, Guido Bologna, Séverine Cloix, David Hasler, Thierry Pun
2014 Procedia Computer Science  
The second is to classify gait with the use of a decision tree of multilayer perceptrons.  ...  To assess the performance of our technique, we evaluated different sampling window lengths of 1, 3 an 5 seconds and four different Neural Network architectures.  ...  Shimmer is a small wireless sensor platform designed to integrate wireless body sensor technology into a wide range of application areas.  ... 
doi:10.1016/j.procs.2014.11.008 fatcat:estobrb4mba77hy4ieqlpdnkxq

A Machine Learning Approach for Improving the Movement of Humanoid NAO's Gaits

Fatmah Abdulrahman Baothman, Deepak Gupta
2021 Wireless Communications and Mobile Computing  
NAO is a humanoid bipedal robot designed to participate in football competitions against humans by 2050, and speed is crucial for football sports.  ...  All generated gaits' parameters for both legs and feet in the experiments were recorded using the Choregraphe software. This dataset was divided into 30% for training and 70% for testing each model.  ...  The project is funded by the National Plan for Science, Technology, and Innovation (MAARI-FAH), King Abdulaziz City for Science and Technology, the Kingdom of Saudi Arabia (award number (03-INF188-08))  ... 
doi:10.1155/2021/1496364 fatcat:qp6zh4jnu5etnfek5kl36p3awy

A framework for the automated generation of power-efficient classifiers for embedded sensor nodes

Ari Y. Benbasat, Joseph A. Paradiso
2007 Proceedings of the 5th international conference on Embedded networked sensor systems - SenSys '07  
An embedded instantiation of these classifiers, including real-time sensor control, is described. An application based on a wearable gait monitor provides quantitative support for this framework.  ...  This paper presents a framework for power-efficient detection in embedded sensor systems.  ...  The authors also acknowledge the support of the Things that Think Consortium, as well as all the sponsors of the MIT Media Lab.  ... 
doi:10.1145/1322263.1322285 dblp:conf/sensys/BenbasatP07 fatcat:twvya3omwzamfhfqcgmjtnsqku

Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring

Lazzaro di Biase, Alessandro Di Santo, Maria Letizia Caminiti, Alfredo De Liso, Syed Ahmar Shah, Lorenzo Ricci, Vincenzo Di Lazzaro
2020 Sensors  
Gait analysis algorithms used for diagnosis showed a balanced accuracy range of 83.5–100%, sensitivity of 83.3–100% and specificity of 82–100%.  ...  For motor status discrimination the gait analysis algorithms showed a balanced accuracy range of 90.8–100%, sensitivity of 92.5–100% and specificity of 88–100%.  ...  connectivity of neurons in the human brain, a neural network consists of highly connected networks of neurons that relate the inputs to the desired outputs [74] .  ... 
doi:10.3390/s20123529 pmid:32580330 fatcat:c3ajfkdb3nctvdbmyhpiinq66i

Key Generation for Internet of Things: A Contemporary Survey [article]

Weitao Xu, Junqing Zhang, Shunqi Huang, Chengwen Luo, Wei Li
2020 arXiv   pre-print
Key generation is a promising technique to bootstrap secure communications for the Internet of Things (IoT) devices that have no prior knowledge between each other.  ...  Then, we provide both quantitative and qualitative comparisons of existing approaches. We also discuss the security vulnerabilities of key generation schemes and possible countermeasures.  ...  ZigBee is a popular communication technology for wireless sensor networks and wireless body area networks. To the best of the authors' knowledge, Aono et al.  ... 
arXiv:2007.15956v2 fatcat:5uzp4sa6xfdkzpmqx3hzngpdce

Quantification of Axial Abnormality Due to Cerebellar Ataxia with Inertial Measurements

Nhan Nguyen, Dung Phan, Pubudu Pathirana, Malcolm Horne, Laura Power, David Szmulewicz
2018 Sensors  
of human postural balance due to CA.  ...  This cross-sectional study investigates the use of wearable inertial sensors strategically positioned on the front-chest and upper-back locations during the Romberg and Trunk tests for objective assessment  ...  Acknowledgments: BioKin TM is an inertial measurement sensor based wearable motion capture platform developed by Networked Sensing and Control (NSC) laboratory at Deakin University (www.biokin.com.au).  ... 
doi:10.3390/s18092791 pmid:30149564 fatcat:iyaep3ivmzdsdgqoawtshlhkea

Privacy Preservation for Wireless Sensor Networks in Healthcare: State of the Art, and Open Research Challenges [article]

Yasmine N. M. Saleh, Claude C. Chibelushi, Ayman A. Abdel-Hamid, Abdel-Hamid Soliman
2020 arXiv   pre-print
The advent of miniature biosensors has generated numerous opportunities for deploying wireless sensor networks in healthcare.  ...  goals from security goals, to avoid mixing privacy and security concerns, as is often the case in other papers; (ii) a critical survey of privacy preservation services for wireless sensor networks in  ...  Wireless sensor networks A wireless sensor network (WSN) is a self-organizing multihop wireless network of nodes, which can be made up of tens to thousands of (typically) very small low-power sensor devices  ... 
arXiv:2012.12958v1 fatcat:6bqeb3htibaypmbfckveiizxpm
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