Spectral and radiometric calibration of consumer cameras (SPECTACLE).
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Updated
Oct 9, 2024 - Python
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)
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
Algorithm to predict person's activity state based on smartphone data.
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.
The python scripts used to validate the OutFin dataset.
Searching Efficient Models for Human Activity Recognition
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