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

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

Communication between individuals involves multiple factors: attending to the other person’s thoughts, interpreting their non-verbal behavior, and (un)intentionally mirroring their expression- and ...

The iMotions webcam based eye tracking (WebET), combined with the hidden markov models (HMM) for fixations classification is a potential tool for applied human behaviour research and teaching ...

iMotions released WebET 3.0 in May 2023, which is the best webET algorithm in the development of the product to date. The purpose of the validation study was to run a large scale study to evaluate how ...

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 ...

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.

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 ...

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 ...