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</o:shapelayout></xml><![endif]--></head><body lang=ES link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoPlainText>[Apologies for multiple copies due to cross-posting. Please forward to colleagues who might be interested]<o:p></o:p></p><p>Dear Colleagues,<o:p></o:p></p><p>We would like to cordially invite you to submit a paper to the Special Issue "Home Ambient Intelligent System" Applied Sciences Journal JCR Impact Factor: 2.217. Deadline: 30th November, 2019<o:p></o:p></p><p><b>CFP:<o:p></o:p></b></p><p>Over the last few years, there has been an increasing interest in the creation of intelligent homes using machine learning and deep learning methods combined with multimodal information processing techniques, embedded hardware, and domestic robots. This Special Issue is designed to provide researchers and developers with the opportunity to publish original, innovative, and state-of-the-art algorithms and architectures for home ambient intelligence real-time applications, with emphasis in the areas of computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces, and biomimetic object–vision recognition.<o:p></o:p></p><p>This Special Issue provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of Neural Networks, Computational Intelligence, Machine Learning, Deep Learning, Biometrics, Vision Systems, and Robotics. The objective is to integrate interdisciplinary studies and research, applying machine learning and deep learning methods in vision and robotics to benefit society.<o:p></o:p></p><p>The methods and tools applied to vision and robotics include but are not limited to, the following:<o:p></o:p></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Computational intelligence methods<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Machine learning methods<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Self-adaptation, self-organisation, and self-supervised learning<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Robust computer vision algorithms (operation under variable conditions, object tracking, behaviour analysis and learning, scene segmentation)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Convolutional Neural Networks (CNN)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Recurrent Neural Networks (RNN)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Deep Reinforcement Learning (DRL)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Hardware implementation and algorithms acceleration (GPUs, FPGA,s,.)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>The fields of application can be identified as (but are not limited to) the following:<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Video and image processing<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Video tracking<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>3D scene reconstruction<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>3D tracking in virtual reality environments<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>3D volume visualisation<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Intelligent interfaces (user-friendly man–machine interface)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Multimodal human pose recovery and behaviour analysis<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Gesture and posture analysis and recognition<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Biometric identification and recognition<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Extraction of biometric features (fingerprint, iris, face, voice, palm, gait)<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Surveillance systems<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Robotic vision<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Assistive healthcare<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>Autonomous and social robots<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1'>IoT and cyber-physical systems<o:p></o:p></li></ul><p>Dr. Jose Garcia-Rodriguez<br>Dr. Alexandra Psarrou<br>Mr. Marco Leo<br>Dr. Miguel Angel Cazorla Quevedo<br><em><span style='font-family:"Calibri",sans-serif'>Guest Editors</span></em><o:p></o:p></p><p><strong><span style='font-family:"Calibri",sans-serif'>Manuscript Submission Information</span></strong><o:p></o:p></p><p>Manuscripts should be submitted online at <a href="https://www.mdpi.com/">www.mdpi.com</a> by <a href="https://www.mdpi.com/user/register/">registering</a> and <a href="https://www.mdpi.com/user/login/">logging in to this website</a>. Once you are registered, <a href="https://susy.mdpi.com/user/manuscripts/upload/?journal=applsci">click here to go to the submission form</a>. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.<o:p></o:p></p><p>Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the <a href="https://www.mdpi.com/journal/applsci/instructions">Instructions for Authors</a> page. <a href="https://www.mdpi.com/journal/applsci/"><em><span style='font-family:"Calibri",sans-serif;color:blue'>Applied Sciences</span></em></a> is an international peer-reviewed open access semimonthly journal published by MDPI.<o:p></o:p></p><p>Please visit the <a href="https://www.mdpi.com/journal/applsci/instructions">Instructions for Authors</a> page before submitting a manuscript. The <a href="https://www.mdpi.com/about/apc/">Article Processing Charge (APC)</a> for publication in this <a href="https://www.mdpi.com/about/openaccess/">open access</a> journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's <a href="https://www.mdpi.com/authors/english">English editing service</a> prior to publication or during author revisions. <o:p></o:p></p><p><b>More information:</b> <a href="https://www.mdpi.com/journal/applsci/special_issues/Home_Ambient_Intelligent_System">https://www.mdpi.com/journal/applsci/special_issues/Home_Ambient_Intelligent_System</a><o:p></o:p></p><p class=MsoNormal>Best regards<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Jose<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>Jose Garcia-Rodriguez, Phd<o:p></o:p></b></p><p class=MsoNormal><b>Full Professor in Computer Vision, Machine Learning & HPC<o:p></o:p></b></p><p class=MsoNormal><b>Editor in Chief International Journal of Computer vision and Image Processing <o:p></o:p></b></p><p class=MsoNormal><b>Vice-Dean International Relations Polytechnic University College <o:p></o:p></b></p><p class=MsoNormal><b>Director Phd Program in Computer Science <o:p></o:p></b></p><p class=MsoNormal><b>Director of NVIDIA GPU Research Center & GPU Education Center <o:p></o:p></b></p><p class=MsoNormal><b>Dpt. Computer Technology , University of Alicante. PO Box. 99. 03080 Alicante (Spain)<o:p></o:p></b></p><p class=MsoNormal><b>tel: +34 965903400 ext. 2616 mobile: +34 610488989 fax: +34 965909643<o:p></o:p></b></p><p class=MsoNormal><b>email: <a href="mailto:jgarcia@dtic.ua.es"><span style='color:#0563C1'>jgarcia@dtic.ua.es</span></a> skype: jose.garcia.alicante website: <a href="http://www.dtic.ua.es/~jgarcia/"><span style='color:#0563C1'>http://www.dtic.ua.es/~jgarcia/</span></a><o:p></o:p></b></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>