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High Accuracy WiFi-Based Human Activity Classification System with Time-Frequency Diagram CNN Method for Different Places

Lokesh Sharma, Chunghao Chao, Shih-Lin Wu, Mei-Chen Li
2021 Sensors  
However, traditional systems based on wearable devices or image recognition-based have many disadvantages, such as user-unfriendly, privacy issues.  ...  Our simulation results show an average accuracy of same place and different place is 93.2% and 90.3%, respectively.  ...  In the deep learning method, we can use the raw amplitude and phase of CSI as the input to the classification problem.  ... 
doi:10.3390/s21113797 pmid:34070922 fatcat:mywe4a5zxrfnlg4a253jhzsr4m

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds [article]

Vandad Davoodnia, Monet Slinowsky, Ali Etemad
2020 pre-print
In this paper, simultaneous estimation and monitoring of body mass index (BMI) and user identity recognition through a unified machine learning framework using smart beds is explored.  ...  using a deep multitask neural network.  ...  ACKNOWLEDGEMENTS This work was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC), Discovery Grant.  ... 
doi:10.1007/s12652-020-02210-9 arXiv:2006.10453v1 fatcat:2vctwmt6zrchlijqef3lx5gtku

State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa ALeksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Čartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazım Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta (+27 others)
2022 Zenodo  
AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence  ...  Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs.  ...  Neural Networks (CNN) have been used more and more frequently in Deep Learning.  ... 
doi:10.5281/zenodo.6390708 fatcat:6qfwqd2v2rhe5iuu5zgz77ay4i

Application of IoT in Predictive Health Analysis–A Review of Literature

Geetha Poornima K, K. Krishna Prasad
2020 Zenodo  
The field of health care has been changed forever with the help of smart devices, wearable along with the overall level of inventions and connectivity in terms of the modern medical equipment.  ...  Generally, internet of thing has been extensively utilized for interconnecting the advanced medical resource as well as for providing effective and smart health care services to the people.  ...  Lin et al. (2017) [21] proposed the Bayesian Multitask Method to Learn (BMTL). In this method, multiple interrelated tasks are evaluated together, rather than getting explored separately.  ... 
doi:10.5281/zenodo.3821147 fatcat:udgs5mtblnfa7bvaibolgne2em


2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
The selected features from EEG recordings of 23 subjects (AD-12 and NC-11) are used to train and test the Leastsquare support vector machine (LS-SVM) classifier with three different kernel functions.  ...  This process is time-consuming, biases, and subject-specific.  ...  and deep learning domains.  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

The level of mental load during a functional task is reflected in oculometrics [chapter]

Ramtin Zargari Marandi, Afshin Samani, Pascal Madeleine
2017 International Federation for Medical and Biological Engineering Proceedings  
of repetitive movements and working postures in complex and variable working cycles: oCRA checklist and TACos method Chair: Daniela Colombini (Italy) • Multitask analysis of UL repetitive movements  ...  by OCRA method: criteria and tools (Occhipinti Enrico) • Multitask analysis of whole body working postures by TACOs: criteria and tools (Tasso Marco) • Application Study: Biomechanical Overload in  ... 
doi:10.1007/978-981-10-5122-7_15 fatcat:vaq2jz2o3zgofdi4tkkn2ksfje

Artificial intelligence, Autonomy, and Human-Machine Teams — Interdependence, Context, and Explainable AI

William F. Lawless, Ranjeev Mittu, Don Sofge, Laura Hiatt
2019 The AI Magazine  
The special topic articles in this issue and a subsequent issue of AI Magazine review ongoing mature research and operational programs that address context for human-machine teams.  ...  In this article, we introduce the topic of context, and we discuss what is known about the heretofore intractable research problem on the effects of interdependence, present in the best of human teams;  ...  in Machine Learning."  ... 
doi:10.1609/aimag.v40i3.2866 fatcat:nofzf4tz5rbnjipaoruv6rhq2y

Between Learning and Opportunity: A Study of African American Coders' Networks of Support

Antonio Byrd, University of Missouri-Kansas City
2019 Literacy in Composition Studies  
their learning digital literacies afford "full participation" in life opportunities" (Warschauer and Tate 69).  ...  Racial disparities between Whites and African Americans in health, education, income, and mass incarceration (Geronimus et al. 826, 833; Sentencing Project; M.  ...  identity with attitudes of discipline that can be associated with whiteness.  ... 
doi:10.21623/ fatcat:ctuuhrqvmbcybi2hjogwpaqboy

CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021

2021 International Journal of Computer Assisted Radiology and Surgery  
The University Rovira i Virgili also supports this work with project 2019PFR-B2-61. References  ...  In recent years, with the development of deep learning, knee cartilage segmentation has made great progress.  ...  Keras 2 with Tensorflow 1.8 backend was used as a deep learning framework.  ... 
doi:10.1007/s11548-021-02375-4 pmid:34085172 fatcat:6d564hsv2fbybkhw4wvc7uuxcy

Anywhere at Anytime Internet: Google Loon Balloons

Sheba Jiju George, K. R. Remesh Babu
2015 Journal of Network and Information Security  
Google implemented Loon project in New Zealand in June 2013 as a pilot experiment and now improvements are being made in Loon technology based on the pilot test results.  ...  Loon Balloons, the network of balloons which provides Internet for people in rural and remote area, is a recent project undertaken by Google.  ...  I am sincerely grateful to all of my interviewees in Switzerland, Germany, and the United States for their time and for sharing their knowledge.  ... 
doi:10.21863/jnis/2015.3.1.004 fatcat:mnuojdd4dra7rhweawn45u6bwa

Digital Youth, Innovation, and the Unexpected

Michael A. Xenos
2009 Information, Communication & Society  
These diverse forms of learning are reflected in expressions of identity, how individuals express independence and creativity, and in their ability to learn, exercise judgment, and think systematically  ...  The series as a whole looks at the relation between youth, learning, and digital media, but each book or essay might deal with only a subset of this constellation.  ...  The most common form of identity recognition is a participant's username.  ... 
doi:10.1080/13691180802552932 fatcat:bat5m7vltndujeaay56rtdrprm

Oral Sessions

2010 Journal of Vestibular Research-Equilibrium & Orientation  
We compared vibration-evoked oVEMPs with the SVV during whole-body roll tilt and eccentric rotation in healthy subjects and patients with unilateral vestibular loss, to determine which test was most sensitive  ...  Methods: We measured oVEMPs and the visual vertical in 11 patients and 11 healthy subjects.  ...  Acknowledgements: Supported by NIH grant RO1-DC009031 and by the National Space Biomedical Research Institute through NASA NCC 9-58.  ... 
doi:10.3233/ves-2010-0373 fatcat:dhpbxssuxba7ffyikf7mlbhmru

The Therapeutic Effects Upon Dog Owners Who Interact With Their Dogs in a Mindful Way

Amy Jackson-Grossblat, Nancy Carbonell, Dennis Waite
2014 Journal of humanistic psychology  
Results and Conclusions Six major themes emerged from the data: Context; Intervening Conditions; Interventions; Differences in Relationships With Others; Changes in Self-Awareness; and Spiritual Growth  ...  ., who has worked with these individuals and their dogs, promoting a mindful interaction and who observed general benefits to psychological well-being in these three individuals.  ...  I remember my mom wouldn't let her sleep in my bed with me anymore because she had kidney failure and would pee in my bed. She passed away when I was 11.  ... 
doi:10.1177/0022167814559390 fatcat:g4m5d2ud6fdknayrt5lqtlvvpa

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates

Department Of Defense Comptroller's Office
2014 Zenodo  
Included in this category is the National Center for Advancing Translational Sciences (NCATS) efforts to reengineer drug discovery and development in collaboration with industry, academia, the Food and  ...  advanced control and sensory functions.  ...  FY 2013 Accomplishments: -Designed "deep-learning" neural networks for machine learning applications such as database search, medical diagnosis, motion tracking, and voice and image recognition based on  ... 
doi:10.5281/zenodo.1215345 fatcat:fjzhmynqjbaafk67q2ckcblj2m

The Intersubjectivity of Embodiment

Riccardo Fusaroli, Paolo Demuru, Anna M. Borghi
2009 Cognitive Semiotics  
Acknowledgements Acknowledgements During the writing of this paper, Sanneke de Haan was supported by the EU Marie Curie Research Training Network 035975 DISCOS (Disorders and Coherence of the Embodied  ...  I wish to mention one final tango parameter: multitasking.  ...  General posture and kinetics Muscle-and skeleton-related imagery creates a proper tango posture, a key to which is being in axis, which comes with feeling a vertical rod through your body.  ... 
doi:10.1515/cogsem.2009.4.1.1 fatcat:qngyzbwo5jgdbfoi6loxnxbly4
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