Sightcorp logo

Emotion Detection

Everything about Emotion Detection

What is Emotion Detection?

Emotion detection, which is also known as emotion recognition is a technique used to recognize the emotions or feelings on a human face using hi-tech image processing software. The most common and spontaneous way to identify emotions is via facial detection in photos and videos. Developers have been combining sophisticated procedures with image processing systems to understand more about what an image or a video of a person’s face tells us about how he or she is feeling. Emotion recognition can identify basic facial expressions for emotion to know if someone is sad, happy, angry or sad. And with more development in technology, emotion detection software has become very advanced. It can also capture what specialists refer to “micro-expressions” or body language signals that may reveal a person’s feelings without his or her knowledge.

Why is Emotion Detection important?

Why are companies and businesses interested in detecting emotions? One main importance of emotion detection is to improve the customer’s experience. The primary goal of each business is to offer quality goods and services that the customer will enjoy and fulfill his or her expectations. Through emotion detection, a company can improve their services without the need to formally and continuously ask for clients’ feedback.

What are the possible applications of Facial Emotion Detection Software?

Emotional detection can be applied to a wide variety of businesses. It is a tool that works for everyone, regardless of the industry or sector you’re in. Below are some examples:

• to understand whether the students are engaged, bored, or confused.

Retail and Hospitality:
• to gain insight into what customers like, to improve the experiences of guests, create effective marketing campaigns and loyalty programs.

Entertainment and Gaming:
• to monitor whether the players or audience are having a good time or not and create more engaging content.

Assistive Technology:
• to help persons with autism understand other people’s feelings or to assist teachers in supporting children with disabilities in the classroom.

Public Safety:
• to detect malicious intents in public spaces and take prompt action against them

• to identify the emotional state of patients, especially when they are not able to communicate verbally, and allow clinicians to provide the necessary treatments and aids.

Law enforcement:
• law enforcers can use emotion recognition software to try to get more information about someone during interrogation.

Here are other articles that you might find interesting:
Image recognition
Age Identifier
Retail Analytics


Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.