Tim Schäck

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 11

Top Topics

Computationally Efficient

Top Venues

Publications

Mohamed Hedi Baccour, Frauke Driewer, Tim Schäck, Enkelejda Kasneci
Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Mariella Dreissig, Mohamed Hedi Baccour, Tim Schäck, Enkelejda Kasneci
Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm. SSCI (2020)
Mohamed Hedi Baccour, Frauke Driewer, Tim Schäck, Enkelejda Kasneci
Camera-based Driver Drowsiness State Classification Using Logistic Regression Models. SMC (2020)
Mariella Dreissig, Mohamed Hedi Baccour, Tim Schäck, Enkelejda Kasneci
Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm. CoRR (2020)
Tim Schäck, Michael Muma, Abdelhak M. Zoubir
Hands-on in Signal Processing Education at Technische Universitat Darmstadt. ICASSP (2018)
Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Tim Schäck, Yosef Safi Harb, Michael Muma, Abdelhak M. Zoubir
Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones. EMBC (2017)
Tim Schäck, Michael Eric Muma, Abdelhak M. Zoubir
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice. IEEE Signal Process. Mag. 34 (1) (2017)
Tim Schäck, Michael Muma, Abdelhak M. Zoubir
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals. EUSIPCO (2017)
Tim Schäck, Michael Muma, Weaam Alkhaldi, Abdelhak M. Zoubir
A procedure to locate the eyelid position in noisy videokeratoscopic images. EURASIP J. Adv. Signal Process. 2016 (2016)
Tim Schäck, Christian Sledz, Michael Muma, Abdelhak M. Zoubir
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals. EUSIPCO (2015)