Open riyasachdeva04 opened 1 year ago
I would like to work on this under GSSOC'23. @akshitagupta15june
I would like to work on this, frankly I don't know much but I will learn and do. I am a newbie(first year UG student). I want to learn and grow. please give me the opportunity to learn and experience
Hi, I am a GSSOC'23 contributor and I have working experience in machine learning and deep learning. I would like to work on this issue, please consider it.
I would like to work on this issue .Can you assign me
Is your feature request related to a problem? Please describe. I want to add a feature for detecting nervousness in the project that utilizes OpenCV as the primary computer vision library. The feature aims to analyze specific facial cues, such as eye blinks, breathing speed, eyebrow twitching, and sweating, to determine if a person appears nervous. It can find potential use cases in various fields, including psychology, human-computer interaction, and video analysis for detecting emotions.
Solution and approach Outlined below are the main steps and requirements for implementing the nervousness detection feature using OpenCV:
Facial Landmark Detection: Integrate a facial landmark detection model, such as dlib's facial landmark predictor, within the project. This model will accurately identify and locate key facial landmarks like eyes, eyebrows, and nose.
Feature Extraction: Implement the extraction of relevant facial landmarks associated with nervousness, such as eye blinks, eyebrow movements, and other potential cues. This step would involve identifying the specific landmarks that correspond to these cues and extracting their positional data.
Analysis and Nervousness Detection: Develop algorithms or rules to analyze the extracted facial landmarks using OpenCV functionalities. For instance, counting the number of eye blinks over a certain period or monitoring eyebrow movements. Please note that the analysis should take into account individual differences and environmental factors that may affect the reliability of the cues.
Visual Feedback: Provide visual feedback using OpenCV's drawing functionalities to indicate the detection of nervousness. This could involve drawing bounding boxes around the detected faces or displaying alerts when nervousness is detected.
I firmly believe that incorporating this nervousness detection feature using OpenCV would greatly enhance the functionality and applicability of our face detection project.
If this request aligns with your project's goals, I am willing to contribute to the implementation of this feature. I have experience working with OpenCV and am excited to collaborate with your team on this development.