Understand personality traits, diagnose health conditions or predict user behaviour within seconds. Discover Cursor Insight’s versatile applications and exploit our award winning machine learning technology.
Whether you operate a high-traffic e-commerce site or do research with test batteries including motion collection, we want to hear from you.Join the beta
How Movements Speak
Our hand gestures, eye and body movements often reveal more information than spoken words. Non-verbal information has been virtually invisible to human-computer interaction. We are changing this by predicting behavior, deducing latent personality traits and helping diagnose health conditions using cursor or motion sensor data.
Commercial Use Case
Movement patterns reveal personality traits that drive intuitive buying behaviour. Use our movement analysis technology to decode cursor gestures and better understand your customers. Match your messaging in real time to the personality of your visitor to increase conversion.
Healthcare Use Case
ADHD (Attention Deficit Hyperactivity Disorder) impacts the motor functions of patients. A much wider and cheaper screening of this common condition is possible with the use of our movement analysis technology. With the early detection of ADHD, we can help mitigate its serious affects on life quality.
Award Winning Artificial Intelligence
Human movement is incredibly complex and its research is still in its early stages. To help solve movement analysis challenges, we developed a programming language that describes human motion. We can process all kinds of movement data gathered with a wide range of devices.
Types of Human Movement
Movement Capturing Devices
A brief explanation of how our technology works
First, we generate test movement data for the different user categories that we later want to recognise.
Each movement data sample is processed and transformed into thousands of features. Our deep learning technology builds a prediction model by matching typical features to user categories.
The artificial intelligence can now be used to evaluate and classify new movement samples in close to real time.