identify and monitor emotional and behavioral health issues
emotions
attention
hyperactivity
impulsivity
focus
interests
capture and analyze individual response patterns
using computer vision, deep learning and biofeedback
computer vision
advanced deep-learning based computer vision algorithms combined with cladoop's proprietary datasets, provide the most comprehensive and accurate
facial analytics
head motion
facial key points
lip motion
facial expressions
eye blinks
iris tracking
facial analytics are correlated with body vital signs captured through advanced
wearable devices, using non-invasive sensors for heat flux, skin conductance, ppg & eda
biofeedback
heart rate
pulse rate
body temperature
electrodermal activity
arm movements
use case applications
healthcare
Assist in clinical evaluations and early identification of Autism and ADHD
special education
Measure benefits of a therapy by comparing pre- and post-therapy behavior
clinical research
Gauge effectiveness of a drug by analyzing before and after behavior metrics
education
Personalized coaching by understanding child's emotional & behavioral traits
pilot deployments in progress
contact us to evaluate our patent-pending
and game changing technology