Emotion Sensing Facial Recognition

Emotion-sensing facial recognition GROUP 3

What is it all About?

 Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions.

New AI developments The emotion-detection and recognition market is growing in prominence and is expected to experience significant growth. $US 38 billion worldwide

“Wouldn’t it be great if your manager could know when you were a bit stressed-out, without you having to put it into words? And on the other side of the coin, surely management would benefit from knowing when an employee is too distracted to perform a task, and likely to commit a serious blunder?”

HOW?

Currently available in smartwatches and fitness trackers are able to detect stress level  through electrodermal activity by monitoring changes in heart rate and sweat – micro-changes of which we ourselves are unaware.

Emotion detection technology requires two techniques: • computer vision • machine learning algorithms.

1) Identify the emerging ethical dilemmas all about topic.

• Privacy • Security • Reability

What are the factors events led to this dilemma? I. They have access to your account II. a. the intensity of the expressions b. illumination effects c. gender of face d. image resolutions

What is the social implication of the dilemma? • The rights of the other individuals will be violated • The personal information at the person would be possibly taken without their permission • Invasion of privacy

Why is it important to question the moral and ethical issues surrounded innovation is S&T • To know if that innovation will really help individuals • To avoid violating the rights of individual • To know if it gives benefit to everyone

In the face of this dilemma, why is studying STS important?