Welcome to Neuroinversa
Neuroinversa can measure subtle physiological aspects of learning, hidden in the variability of biorhythmic activities registered from the person’s nervous system’s states. These emerge from micro-fluctuations of naturalistic behaviors and are reflected in the eyes, face, and voice, all in response to sensory stimuli guiding the perception-actions loops. From spontaneous, exploratory to intended, goal-directed acts, Neuroinversa can track the evolution of physiological sensory-motor statistical learning.
Eyes
Facial Micro Expressions
Facial Micro Expressions
The eyes open a window into cognitive processes during dynamic learning states. Using naturalistic, gamified settings, the patterns of three dimensional eye gaze capture the interplay between stages of attentive learning and spontaneous inattentive searches. These in turn reveal learning preferences in different contexts and help us better instruct children in academic settings.
Facial Micro Expressions
Facial Micro Expressions
Facial Micro Expressions
Using new algorithms, we will characterize universal action units as children of school age project different facial micro motions. Through this process we automate the detection of emotional states during naturalistic games that engage the children in fun social exchange as they transition through different learning states.
Voice
Facial Micro Expressions
Voice
Voice patterns reflect motor function and at the micro-motions level, combined with sonified facial micro-expressions give us a far richer picture of the child’s emotions than either one of these alone. This highly scalable information will be sampled broadly across different cultures and languages to showcase different ranges of voice as they shift over time in human neurodevelopment.
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Neuroinversa
