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Found 4 papers, 1 papers with code
Deep adaptative spectral zoom for improved remote heart rate estimation
The objective of our proposed model is to tailor the CZT to match the characteristics of each specific dataset sensor, facilitating a more optimal and accurate estimation of HR from the rPPG signal without compromising generalization across diverse datasets.
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss
We present a lightweight neural model for remote heart rate estimation focused on the efficient spatio-temporal learning of facial photoplethysmography (PPG) based on i) modelling of PPG dynamics by combinations of multiple convolutional derivatives, and ii) increased flexibility of the model to learn possible offsets between the facial video PPG and the ground truth.
Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset
Lie detection is considered a concern for everyone in their day to day life given its impact on human interactions.
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
This paper addresses these shortcomings by proposing a novel model that efficiently extracts both spatial and temporal features of the data by means of its enhanced temporal modelling based on latent features.
