2024’s Oscars brought emotional contrasts, with blockbusters evoking joy and Oscar nominees leaning toward intense narratives. Using Affectiva Media Analytics and iMotions’ respiration insights, this ...

iMotions supports multimodal clinical research to help researchers leverage physiology to evaluate therapeutic interventions, investigate nonconscious behaviors during simulations, expand assistive ...

iMotions empowers researchers to explore, collect and analyze human behavior through modules divided into four central behavioral categories: Arousal, Emotion, Attention, and Cognitive. Discover how ...

Health-related information on pre-packed food products can enhance purchase intention and healthy choices. However, retained positive influence of health-related information on product liking is ...

For decades, dial testing has been a staple in media research. The method, which, simply put, asks participants to turn a physical dial to express their feelings in real-time, has long been trusted to ...

Affectiva’s patent portfolio reflects our innovation mindset. Our patents are diverse and span different types of technology. They entail AI, machine learning, deep learning, computer vision, speech ...

iMotions EduLabs Elevate Research, Empower Education Welcome to the future of higher education where academia meets application iMotions EduLabs are a fusion of our “Education”… See features now This ...

Eye tracking offers powerful insights into how people perceive and interact with their surroundings, shaping advancements in fields like user experience, automotive design, and gaming development.

Affectiva’s emotion database has now grown to nearly 6 million faces analyzed in 90 countries. To be precise, we have now gathered more than 13.000.000 face videos, for a total of 38,944 hours of data ...

In this paper we introduce AFFDEX 2.0 – a toolkit for analyzing facial expressions in the wild, that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect facial Action Units ...