How to prevent a nasty accident while looking like a robot

A pair of robotics specialists at Texas A&M University are using facial recognition software to help prevent an accident that could have left one of their patients with serious facial injuries.

Dr. Amy Kudlinski, an assistant professor of mechanical engineering and associate professor of engineering, says her research group is using a facial recognition algorithm to analyze pictures of human facial expressions to determine which parts of the face are linked to injuries.

The software automatically analyzes the facial features and determines the degree of facial contortions and the degree to which the muscles are extended.

She says it’s not just facial expressions that are being used to analyze the facial expressions of a person, but the movements of their limbs as well.

The algorithm will identify the facial contorts, which can indicate a possible injury to the body.

She says her team is also using a computer model of a robot that can be used to determine whether the robot is capable of taking care of the patient.

Kudlinsky says facial recognition can be applied to a variety of types of injuries, including cuts, scrapes and scrapes on the skin.

She adds that the technology is not limited to robotic surgeries, and could be used in any surgical procedure that involves manipulation of the body and the face.