Crowdsourced data collection of facial responses
In the past, collecting data to train facial expression and affect recognition systems has been time consuming and often led to data that do not include spontaneous expressions. We present the first crowdsourced data collection of dynamic, natural and spontaneous facial responses as viewers watch me...
Main Authors: | McDuff, Daniel Jonathan, Picard, Rosalind W., El Kaliouby, Rana |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2013
|
Online Access: | http://hdl.handle.net/1721.1/79895 https://orcid.org/0000-0002-5661-0022 |
Similar Items
-
Crowdsourcing facial responses to online videos: Extended abstract
by: McDuff, Daniel, et al.
Published: (2017) -
Acume: A New Visualization Tool for Understanding Facial Expression and Gesture Data
by: McDuff, Daniel Jonathan, et al.
Published: (2011) -
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild
by: McDuff, Daniel Jonathan, et al.
Published: (2013) -
Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads
by: Kaliouby, Rana El, et al.
Published: (2017) -
Measuring Voter's Candidate Preference Based on Affective Responses to Election Debates
by: McDuff, Daniel Jonathan, et al.
Published: (2014)