Personal tools
Home Events Events Archive 2013 Behavioral Signal Processing: Deriving Human Behavioral Informatics from Multimodal Signals

Behavioral Signal Processing: Deriving Human Behavioral Informatics from Multimodal Signals

expired
— filed under:

What
  • Seminar Series
When Oct 22, 2012
from 01:00 PM to 02:30 PM
Where Engr. IV Bldg., Shannon Room 54-134
Contact Name
Add event to calendar vCal
iCal

Shrikanth Narayanan

Signal Analysis and Interpretation Laboratory (SAIL) http://sail.usc.edu and

University of Southern California

 

Abstract

Human behavior is exceedingly complex. Its expression and experience are inherently multimodal, and are characterized by individual and contextual heterogeneity.    The confluence of sensing, communication and computing is however allowing access to data, in diverse forms and modalities, that is enabling us understand and model human behavior in ways that were unimaginable even a few years ago. No domain exemplifies these opportunities more than that related to human health and wellbeing. Consider for example the domain of Autism where crucial diagnostic information comes from manually-analyzed audiovisual data of verbal and nonverbal behavior. Behavioral signal processing advances can enable not only new possibilities for gathering data in a variety of settings--from laboratory and clinics to free living conditions—but in offering computational models to advance evidence-driven theory and practice.

This talk will describe our ongoing efforts on Behavioral Signal Processing (BSP)—technology and algorithms for quantitatively and objectively understanding typical, atypical and distressed human behavior—with a specific focus on communicative, affective and social behavior. Using examples drawn from different application domains, the talk will also illustrate Behavioral Informatics applications of these processing techniques that contribute to quantifying higher-level, often subjectively described, human behavior in a domain-sensitive fashion.

[Work supported by NIH, NSF, DARPA, and ONR].

 

Biography

Shrikanth (Shri) Narayanan is Andrew J. Viterbi Professor of Engineering at USC, where he is Professor of Electrical Engineering, and, jointly in, Computer Science, Linguistics and Psychology. Prior to USC he was with AT&T Bell Labs and AT&T Research. His research focuses on human-centered information processing and communication technologies. He is a Fellow of the Acoustical Society of America, IEEE, and the American Association for the Advancement of Science (AAAS). Shri Narayanan is an Editor for the Computer, Speech and Language Journal and an Associate Editor for the IEEE Transactions on Multimedia, the IEEE Transactions on Affective Computing and the Journal of Acoustical Society of America having previously served an Associate Editor for the IEEE Transactions of Speech and Audio Processing (2000-2004) and the IEEE Signal Processing Magazine (2005-2008). He is a recipient of several honors including the 2005 and 2009 Best Paper awards from the IEEE Signal Processing Society and serving as its Distinguished Lecturer for 2010-11. He has published over 500 papers and has 13 U.S. patents. 

Document Actions