Name
Title | ||
|---|---|---|
A Fuzzy Logic Approach in Emotion Detection and Recognition and Formulation of an Odor-Based Emotional Fitness Assistive System. |
Abstract | ||
|---|---|---|
This paper aims at a Fuzzy relational approach for similar emotions expressed by different subjects by facial expressions and predefined parameters. Different Facial attributes contribute to a wide variety of emotions under varied circumstances. These same features also vary widely from person to person, introducing uncertainty to the process. Facial features like eye-opening, mouth-opening and length of eye-brow constriction from localized areas from a face are Fuzzified and converted into emotion space by employing relational models. This is dealt with Fuzzy Type-2 logic, which reigns supreme in reducing uncertainty. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.4018/IJSE.2015070102 | IJSE |
Field | DocType | Volume |
Fuzzy classification,Emotion recognition,Fuzzy logic,Psychology,Emotion detection,Facial expression,Artificial intelligence,Machine learning | Journal | 6 |
Issue | Citations | PageRank |
2 | 3 | 0.38 |
References | Authors | |
21 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudipta Ghosh | 1 | 3 | 1.39 |
| Debasish Kundu | 2 | 3 | 0.38 |
| Gopal Paul | 3 | 4 | 1.41 |