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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><h5 style='background:white'><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt'>COURSE TITLE</span><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt;font-weight:normal'>: Human Behavior Analysis with a Social Signal Processing Perspective<o:p></o:p></span></h5><h5 style='background:white'><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt'>LECTURER</span><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt;font-weight:normal'>: </span><span lang=EN-US style='font-size:11.0pt;color:black;letter-spacing:.4pt;font-weight:normal'>Cigdem Beyan</span><span lang=EN-US style='font-size:11.0pt;color:black;letter-spacing:.4pt'>, </span><span style='font-size:11.0pt;color:black;letter-spacing:.4pt'><a href="mailto:cigdem.beyan@unitn.it"><span lang=EN-US>cigdem.beyan@unitn.it</span></a></span><span lang=EN-US style='font-size:11.0pt;color:black;letter-spacing:.4pt;font-weight:normal'><o:p></o:p></span></h5><h5 style='background:white;box-sizing: border-box;margin:0.5rem;-webkit-font-smoothing: antialiased;letter-spacing:var(--heading--letter-spacing-h5)'><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt'>ORGANIZER</span><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt;font-weight:normal'>: </span><span lang=EN-US style='font-size:11.0pt;color:black;letter-spacing:.4pt;font-weight:normal'>Department of Information Engineering and Computer Science, University of Trento, Italy<o:p></o:p></span></h5><h5 style='background:white;box-sizing: border-box;margin:0.5rem;-webkit-font-smoothing: antialiased;letter-spacing:var(--heading--letter-spacing-h5)'><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt'>CONTENT AND ORGANIZATION</span><span lang=EN-US style='font-size:11.0pt;color:black;text-transform:uppercase;letter-spacing:.4pt;font-weight:normal'>: </span><span lang=EN-US style='font-size:11.0pt;color:black;letter-spacing:.4pt;font-weight:normal'>Social Signal Processing (SSP) is a cross-disciplinary field that covers studying social signals that 1) are produced during human-human interaction, 2) play a part in the formation and adjustment of relationships between agents (being humans and embodied interfaces) or provide information about the interlocutors, and 3) can be synthetized in embodied interfaces. They can be related to social (inter)actions, social emotions, social evaluations, social attitudes and social relations. The significant part of SSP deals with automatic detection of social attitudes and relations, such as leadership or hostile attitude from the data captured with a wide array of sensors. During this lecture, I will present several datasets and applications (in small groups, mingling scenarios, egocentric vision based) using multimodal data (audio, video, text) and the state-of-the-art machine/deep learning methods.<o:p></o:p></span></h5><p class=MsoNoSpacing><b><span lang=EN-US>REGISTRATION</span></b><span lang=EN-US>: Free of charge<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US>WHEN</span></b><span lang=EN-US>: 23-24 February 2022 13.30- 15.30 CET<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US>WHERE</span></b><span lang=EN-US>: Online (telco link to be provided by the Lecturer after registration/enrollment)<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span lang=EN-US>HOW TO REGISTER and ENROLL</span></b><span lang=EN-US>: <o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US>Both AIDA and non-AIDA students are encouraged to participate in this short course.<o:p></o:p></span></p><p class=MsoNoSpacing style='margin-bottom:12.0pt'><span lang=EN-US>If you are an AIDA Student* already, please: <br>Step (a): Register in the course by following the instructions given in "Teaching" tab of <a href="https://cbeyan.github.io/">cbeyan.github.io</a> or alternatively by sending an email to cigdem.beyan[at]unitn.it for your registration. <br>AND <br>Step (b): Enroll in the same course in the AIDA system using the button below, so that this course enters your AIDA Certificate of Course Attendance. <br>If you are not an AIDA Student do only step (a). <o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US>*The International AI Doctoral Academy (AIDA) has 73 members, which are top AI Universities, Research centers and Industries: <a href="https://www.i-aida.org/">https://www.i-aida.org/</a> <o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EN-US>AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: <a href="https://www.i-aida.org/about/members/">Members</a>)<b><span style='color:black;letter-spacing:.4pt'><o:p></o:p></span></b></span></p></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2">
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