Multimodal data fusion for Stress Detection Algorithm(novel)Development

I am in search of a proficient data fusion expert to create an advanced (novel)algorithm for detecting stress levels in individuals. This will require the fusion of video, sensor, and audio data modalities.

The project (should not have any plagiarism) specifically requires:
1. Development of an algorithm for the web platform.
2. Effective use of all three modalities:
- Video data: The algorithm should accurately analyze changes in facial expressions.
- Sensor data: It needs to detect and interpret irregularities in sensor data.
- Audio data: Should be capable of identifying distortions or anomalies in audio data, which may indicate stress.

Ideal freelancers for this project would be those with prior experience in data fusion and algorithm development, particularly within the fields of emotion recognition or health-related applications, and a strong knowledge of data analysis related to image processing, sensor data interpretation, and audio data analysis.

Dataset:StressID or any other which satisfies multimodality(sensor, audio, video)