Home > Seminars > Edison Lecture Series: Rosalind Picard

Edison Lecture Series: Rosalind Picard

Start:

10/6/2016 at 3:30PM

End:

10/6/2016 at 5:00PM

Location:

131 DeBartolo Hall

Host:

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Kevin Bowyer

Kevin Bowyer

VIEW FULL PROFILE Email: kwb@nd.edu
Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall

Affiliations

Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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574-631-9978
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Emotion Technology, Wearables, and Surprises

Years ago, my students at MIT and I began to design, build, and test both wearable and other sensors for recognizing emotion. We designed studies, gathered data, and developed signal processing and machine learning techniques to see what could be reliably extracted and what insights could be obtained - especially studying stress. In this talk I will highlight several of the most surprising findings during this adventure. These include new insights about the “true smile of happiness,” discovering that regular cameras (and your smartphone, even in your handbag) can compute some of your biosignals, finding electrical signals on the wrist that give insight into deep brain activity, and learning surprising implications of wearable sensing for autism, anxiety, depression, sleep, memory consolidation, epilepsy, and more. I’ll also describe our next focus: how might these new capabilities help prevent the #1 disease burden in the future?

Seminar Speaker:

Rosalind W. Picard

Rosalind W. Picard

MIT

Rosalind W. Picard is founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-founder of Affectiva, which delivers technology to help measure and communicate emotion, used by over 2/3 of the Global Fortune 100 companies, and co-founder and Chief Scientist of Empatica, improving lives with clinical quality wearable sensors and analytics. Picard is the author of over two hundred peer-reviewed scientific articles. She is known internationally for authoring the book, Affective Computing, which helped launch the field by that name. She holds a Bachelors in Electrical Engineering from the Georgia Institute of Technology and Masters and Doctorate degrees in Electrical Engineering and Computer Science from MIT. In 2005 she was named a Fellow of the IEEE for contributions to image and video analysis and affective computing. Picard is an active inventor with nearly two dozen patents: her group’s inventions have been twice named to “top ten” lists, including the New York Times Magazine’s Best Ideas of 2006 for their Social Cue Reader, used in autism, and 2011’s Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs. CNN named her one of seven “Tech Superheroes to Watch in 2015.” Picard’s lab at MIT develops technologies to better understand, predict, and regulate emotion, including machine-learning based analytics that work with wearables and smartphones, with applications aimed at helping people with autism, epilepsy, depression/ anxiety, migraine, pain, and more.