Details
Poster
Presenter(s)
![Edwin Arkel Rios Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/23001.jpg?h=04d92ac6&itok=44yqKb9s)
Display Name
Edwin Arkel Rios
- Affiliation
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AffiliationNational Chiao Tung University
- Country
Abstract
Extensive study on the effects of one of the most important design parameters in Remote Photoplethysmosgraphy (RPPG) systems, sliding window (SW) size, for a variety of algorithms, in order to quantify the trade-off between computational cost in time and accuracy in root-mean-squared-error (RMSE), using a standardized public database. We also studied how different face detection and region-of-interest selection affected these results. Finally, based on these, we came up with a new and simple metric that takes into account both computation and accuracy.