Adventures in building Emotional Intelligence Technologies

Lecturer: Rosalind Picard

Event type: Guest lecture

Event time: 2017-02-03 15:15 to 16:30

Place: Small Hall, Main Building, University of Helsinki, Fabianinkatu 33, Helsinki

Web page: Helsinki Distinguished Lecture Series on Future IT


The next lecture in the Helsinki Distinguished Lecture Series on Future Information Technology will be given by Professor Rosalind Picard from the MIT Media Lab.

The lecture is free of charge and open to everyone interested in the latest research in information technology. The lecture will be followed by an informal cocktail event.

Registration is now closed (but we still have some space remaining).


Years ago, I set out to create technology with emotional intelligence, demonstrating the ability to sense, recognize, and respond intelligently to human emotion. At MIT, we designed studies and developed signal processing and machine learning techniques to see what affective insights could be reliably obtained. In this talk I will highlight the most surprising findings during this adventure. These include new insights about the “true smile of happiness,” discovering new ways cameras (and your smartphone, even in your handbag) can compute your bio-signals, finding electrical signals on the wrist that reveal insight into deep brain activity, and learning surprising implications of wearable sensing for autism, anxiety, sleep, memory, epilepsy, and more. What is the grand challenge we aim to solve next?

About the Speaker

Rosalind Picard, ScD, FIEEE is founder and director of the Affective Computing Research Group at the MIT Media Laboratory, co-founder of Affectiva, providing emotional intelligence technology used by 1/3 of the Global Fortune 100, and co-founder and Chief Scientist of Empatica, improving lives with clinical-quality wearable sensors and analytics. Picard is the author of over 250 articles in computer vision, pattern recognition, machine learning, signal processing, affective computing, and human-computer interaction. She is known internationally for her book, Affective Computing, which helped launch the field by that name. Picard holds bachelors in Electrical Engineering (EE) from Georgia Tech and Masters and Doctorate degrees in EE and CS from MIT. Picard’s inventions have been twice named to “top ten” lists, including the New York Times Magazine’s Best Ideas of 2006 for the Social Cue Reader, and 2011’s Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs.