R
Rosalind W. Picard
Researcher at Massachusetts Institute of Technology
Publications - 471
Citations - 50145
Rosalind W. Picard is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Affective computing & Wearable computer. The author has an hindex of 100, co-authored 461 publications receiving 44750 citations. Previous affiliations of Rosalind W. Picard include Beth Israel Deaconess Medical Center & Johns Hopkins University School of Medicine.
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Affective Computing
TL;DR: Key issues in affective computing, " computing that relates to, arises from, or influences emotions", are presented and new applications are presented for computer-assisted learning, perceptual information retrieval, arts and entertainment, and human health and interaction.
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Toward machine emotional intelligence: analysis of affective physiological state
TL;DR: It is found that the technique of seeding a Fisher Projection with the results of sequential floating forward search improves the performance of the Fisher Projections and provides the highest recognition rates reported to date for classification of affect from physiology: 81 percent recognition accuracy on eight classes of emotion, including neutral.
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Detecting stress during real-world driving tasks using physiological sensors
TL;DR: The results show that for most drivers studied, skin conductivity and heart rate metrics are most closely correlated with driver stress level, indicating that physiological signals can provide a metric of driver stress in future cars capable of physiological monitoring.
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Photobook: content-based manipulation of image databases
TL;DR: The Photobook system is described, which is a set of interactive tools for browsing and searching images and image sequences that make direct use of the image content rather than relying on text annotations to provide a sophisticated browsing and search capability.
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Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.
TL;DR: This is the first demonstration of a low-cost accurate video-based method for contact-free heart rate measurements that is automated, motion-tolerant and capable of performing concomitant measurements on more than one person at a time.