Video Data Analysis, Feature extraction from human videos, computer vision tasks
Budget: $30 – $250 USD
Require a skilled professional in computer vision.
I have public videos from YouTube which you can use to follow the project. In these videos, children are playing games. We need the following features to find the severity/confidence scores (0-9, where 0 is non-Autism and 1-9 represents increasing severity) by using any technique or model (pre-trained / ML / DL) so that we can find the individuals with autism levels (such as severe autism, mild, medium, lower, or no autism, etc). For example, maybe you can see Face landmark detection (https://developers.google.com/mediapipe/solutions/vision/face_landmarker) that has a confidence score. I expect you will find a better technique.
By applying the following feature techniques: facial expression analysis, gaze analysis, body movement analysis, speech and language processing, social interaction metrics, activity recognition, contextual information integration, and temporal dynamics analysis, all aimed at extracting comprehensive features from human video data to identify autism spectrum disorder.
If you have work experience in computer vision, machine, and deep learning, specifically on video datasets, please let me know with a few of your sample works. We can discuss the task details, time, and budget in a virtual meeting.
Ideal Skills:
- Proficiency in computer vision, particularly in extracting features from videos
- Experience with facial recognition systems
- Experience with action recognition algorithms and more
I have public videos from YouTube which you can use to follow the project. In these videos, children are playing games. We need the following features to find the severity/confidence scores (0-9, where 0 is non-Autism and 1-9 represents increasing severity) by using any technique or model (pre-trained / ML / DL) so that we can find the individuals with autism levels (such as severe autism, mild, medium, lower, or no autism, etc). For example, maybe you can see Face landmark detection (https://developers.google.com/mediapipe/solutions/vision/face_landmarker) that has a confidence score. I expect you will find a better technique.
By applying the following feature techniques: facial expression analysis, gaze analysis, body movement analysis, speech and language processing, social interaction metrics, activity recognition, contextual information integration, and temporal dynamics analysis, all aimed at extracting comprehensive features from human video data to identify autism spectrum disorder.
If you have work experience in computer vision, machine, and deep learning, specifically on video datasets, please let me know with a few of your sample works. We can discuss the task details, time, and budget in a virtual meeting.
Ideal Skills:
- Proficiency in computer vision, particularly in extracting features from videos
- Experience with facial recognition systems
- Experience with action recognition algorithms and more