A new method for heart rate monitoring during physical exercise using photoplethysmographic signals. - Tim Schäck; Christian Sledz; Michael Muma; Abdelhak M. Zoubir (EUSIPCO, 2015)

A procedure to locate the eyelid position in noisy videokeratoscopic images. - Tim Schäck; Michael Muma; Weaam Alkhaldi; Abdelhak M. Zoubir (EURASIP J. Adv. Signal Process., 2016)

Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones. - Tim Schäck; Yosef Safi Harb; Michael Muma; Abdelhak M. Zoubir (EMBC, 2017)

Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals. - Tim Schäck; Michael Muma; Abdelhak M. Zoubir (EUSIPCO, 2017)

Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice. - Tim Schäck; Michael Eric Muma; Abdelhak M. Zoubir (IEEE Signal Process. Mag., 2017)

Hands-on in Signal Processing Education at Technische Universitat Darmstadt. - Tim Schäck; Michael Muma; Abdelhak M. Zoubir (ICASSP, 2018)

Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. - Tim Schäck; Michael Muma; Mengling Feng; Cuntai Guan; Abdelhak M. Zoubir (IEEE Trans. Biomed. Eng., 2018)

Camera-based Driver Drowsiness State Classification Using Logistic Regression Models. - Mohamed Hedi Baccour; Frauke Driewer; Tim Schäck; Enkelejda Kasneci (SMC, 2020)

Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm. - Mariella Dreissig; Mohamed Hedi Baccour; Tim Schäck; Enkelejda Kasneci (SSCI, 2020)

Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines. - Mohamed Hedi Baccour; Frauke Driewer; Tim Schäck; Enkelejda Kasneci (IEEE Trans. Intell. Transp. Syst., 2022)