Affectiva (United States)

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Affectiva (United States)

121

Publications

5.1K

Citations

Authors

Concepts

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Affectiva (United States) is a company institution in Boston, United States known for affective computing, engineering, and emotion.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	35	3.2K
2	Arts	7	15	580
3	Management	3	4	375
4	Education	2	2	51
5	Medicine	1	2	196

Affectiva (United States)

121

Publications

5.1K

Citations

Page 1

	Year	Citations
AFFDEX SDK Daniel McDuff, Abdelrahman Mahmoud, Mohammad Mavadati, Multiple PeopleFace DetectionReal-time VisualizationFacial Recognition SystemEngineering	2016	275
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected &#x0022;In-the-Wild&#x0022; Daniel McDuff, Rana el Kaliouby, Thibaud Sénéchal, EngineeringMachine LearningBiometricsAffective NeurosciencePsychology	2013	226
Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads Daniel McDuff, Rana el Kaliouby, Jeffrey F. Cohn, IEEE Transactions on Affective Computing EngineeringMachine LearningBehavioral Decision MakingTargeted AdvertisingConsumer Research	2014	163
Why, When, and How Much to Entertain Consumers in Advertisements? A Web-Based Facial Tracking Field Study Thales Teixeira, Rosalind W. Picard, Rana el Kaliouby Marketing Science Targeted AdvertisingConsumer ResearchCommunicationOnline Customer BehaviorSocial Sciences	2014	108
A large-scale analysis of sex differences in facial expressions Daniel McDuff, Evan Kodra, Rana el Kaliouby, PLoS ONE Affective DesignBiometricsSocial PsychologyAffective NeuroscienceSingle Facial Behavior	2017	102
Factors Affecting Composite Graft Survival in Digital Tip Amputations Jonathan B. Heistein, Paul A. Cook Annals of Plastic Surgery AmputationLower Limb TraumaTissue TransplantationDigital Tip AmputationsSurgery	2003	98
Measuring Voter's Candidate Preference Based on Affective Responses to Election Debates Daniel McDuff, Rana el Kaliouby, Evan Kodra, Behavioral Decision MakingCandidate PreferencePolitical BehaviorCommunicationMultimodal Sentiment Analysis	2013	69
Exploiting sparsity and co-occurrence structure for action unit recognition Yale Song, Daniel McDuff, Deepak Vasisht, EngineeringMachine LearningBiometricsVideo InterpretationFacial Action Units	2015	61
Facial Action Unit Detection Using Active Learning and an Efficient Non-linear Kernel Approximation Thibaud Sénéchal, Daniel McDuff, Rana el Kaliouby Svm KernelMachine LearningEngineeringBiometricsFace Detection	2015	58
Large-Scale Observational Evidence of Cross-Cultural Differences in Facial Behavior Daniel McDuff, Jeffrey M. Girard, Rana el Kaliouby Journal of Nonverbal Behavior Behavioral SciencesFacial Expression RecognitionSocial BehaviorCross-cultural DifferencesFacial Animation	2016	58

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