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Spectral and radiometric calibration of consumer cameras (SPECTACLE).
Modelling Big Five Personality Inventory using Machine Learning algorithms
Raspberry PI Pan-Tilt-Camera Movement Control (Python/Javascript)
Algorithm to predict person's activity state based on smartphone data.
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
This is a project developed as part of the Foundations of Data science course at New York University
The python scripts used to validate the OutFin dataset.
Searching Efficient Models for Human Activity Recognition
BuStop is a ML-based framework to automatically detect different stay-location types for intra-city public bus travels through multi-modal sensing.
In this project, we design a robust activity recognition system based on a smartphone.