Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
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[1] Nicholas D. Lane,et al. DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning , 2015, UbiComp.
[2] Vesa T. Peltonen,et al. Audio-based context recognition , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[3] Danna Zhou,et al. d. , 1840, Microbial pathogenesis.
[4] Ivan Miguel Pires,et al. Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults , 2020, Sensors.
[5] Ivan Miguel Pires,et al. Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices , 2020, Data in brief.
[6] Simone Orcioni,et al. Digital Signal Processing for Audio Applications: Then, Now and the Future , 2019, The First Outstanding 50 Years of “Università Politecnica delle Marche”.
[7] Nuno M. Garcia,et al. Activities of Daily Living and Environment Recognition Using Mobile Devices: A Comparative Study , 2020 .
[8] Marc Green,et al. Environmental sound monitoring using machine learning on mobile devices , 2020, Applied Acoustics.
[9] Jana Dittmann,et al. Digital audio forensics: a first practical evaluation on microphone and environment classification , 2007, MM&Sec.
[10] Claudio Gentile,et al. Microphone Identification Using Convolutional Neural Networks , 2019, IEEE Sensors Letters.
[11] Eftim Zdravevski,et al. From Big Data to business analytics: The case study of churn prediction , 2020, Appl. Soft Comput..
[12] N. Garcia,et al. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal , 2019 .
[13] James M. Rehg,et al. Using Sound Source Localization in a Home Environment , 2005, Pervasive.
[14] N. Garcia,et al. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal , 2019 .