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Identifying micro facial expressions can lead to a life-changing diagnosis for a person with mental health problems.

To capture and process these tiny expressions, Taylor’s University turned to artificial intelligence (AI) to observe and interpret the emotions of people with mental illness and special needs.

Using emotion recognition software and machine learning, the university’s research is changing the way mental health is diagnosed and treated.

Access this case study to discover how AI infrastructures and platforms are being deployed around the world to accelerate medical breakthroughs and improve healthcare outcomes.

Vendor:

Hewlett Packard Enterprise

Posted:

Feb 3, 2022

Published:

Feb 3, 2022

Format:

HTML

Type:

Case Study