What is affectiva used for?
Affectiva is a software company that builds artificial intelligence that understands human emotions, cognitive states, activities and the objects people use, by analyzing facial and vocal expressions.
Is affectiva publicly traded?
Affectiva is privately held with backing from the National Science Foundation, and leading investors such as Kleiner Perkins Caufield and Byers.
What is Affdex?
AFFDEX 2.0 is an enhanced version of our previous toolkit [1], that is capable of tracking efficiently faces at more challenging conditions, detecting more accurately facial expressions, and recognizing new emotional states (sentimentality and confusion).
How does affectiva add value in the markets where it does business?
Affectiva Media Analytics We help businesses understand how their customers and consumers feel when they can’t or won’t say so themselves. By measuring unfiltered and unbiased responses, businesses can act to improve customer experience and marketing campaigns.
Who is the founder of affectiva?
Rana el KalioubyRosalind Picard
Affectiva/Founders
How does affective computing work?
Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.
Who bought affectiva?
Smart Eye
Smart Eye, the publicly traded Swedish company that supplies driver monitoring systems for a dozen automakers, has acquired emotion-detection software startup Affectiva for $73.5 million in a cash-and-stock deal.
Where was Rana el Kaliouby born?
Cairo
Born and raised in Cairo, she received degrees in computer science from the American University in Cairo and a Ph. D. from the computer laboratory, University of Cambridge.
What did Rana el Kaliouby do?
Rana el Kaliouby (Arabic: رنا القليوبي; born 1978) is an Egyptian-American computer scientist and entrepreneur in the field of expression recognition research and technology development, which is a subset of facial recognition designed to identify the emotions expressed by the face.
Who invented affective computing?
1 Affective Computing. The artificial intelligence (AI) field picked up the idea that human rational thinking depends on emotional processing. Rosalind Picard’s “Affective Computing” had a major effect on both the AI and HCI fields (Picard, 1997).
What is cloud computing replacing?
Cloud computing is replacing a variety of traditional data storage and access methods. Cloud computing provides far more flexibility and scalability than traditional methods by storing your data and applications off-premise.
When was Rana el Kaliouby born?
1978 (age 44 years)Rana el Kaliouby / Date of birth
Where did Rana el Kaliouby go to school?
Newnham College, Cambridge
Education. El Kaliouby earned a bachelor’s degree and Master of Science degree from the American University in Cairo, then a Ph. D. at Newnham College, Cambridge.
Why affective computing is important?
Abstract. Affective computing is becoming more and more important as it enables to extend the possibilities of computing technologies by incorporating emotions. In fact, the detection of users’ emotions has become one of the most important aspects regarding Affective Computing.
What is the opposite of cloud computing?
What is the opposite of cloud computing?
| in-house computing | local computing |
|---|---|
| local hosting | offline computing |
How can affective computing help humans in real life?
Thanks to affective computing, also known as emotion AI, computers start to recognize human emotions based on facial expressions, body language, or voice tone. While it might bring controversial surveillance issues, the insights gained from this technology can offer critical improvements for businesses.
What is the opposite of SaaS?
The opposite of SaaS is self-hosted. And the opposite of public cloud is on-premises. We used on-premises to say self-hosted and it was confusing because you can self-host in the public cloud (run GitLab on AWS for example).