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ORCIDPhilip Schmidt 0001
Person information
- affiliation: Robert Bosch GmbH, Corporate Research, Renningen, Germany
- affiliation (PhD 2019): University of Siegen, Department of Electrical Engineering and Computer Science, Ubiquitous Computing, Siegen, Germany
- affiliation (until 2016): Heidelberg University, HCI, Heidelberg, Germany
Other persons with the same name
- Philip Schmidt 0002 — Technical University of Darmstadt, Department of Electrical Engineering and Information Technology, Germany
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2010 – 2019
- 2019
[b1]Philip Schmidt:
Wearable-based affect recognition. University of Siegen, Germany, 2019- [j2]Attila Reiss, Ina Indlekofer, Philip Schmidt, Kristof Van Laerhoven
:
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks. Sensors 19(14): 3079 (2019) - [j1]Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven:
Wearable-Based Affect Recognition - A Review. Sensors 19(19): 4079 (2019) - [c7]Philip Schmidt, Robert Dürichen, Attila Reiss, Kristof Van Laerhoven, Thomas Plötz:
Multi-target affect detection in the wild: an exploratory study. UbiComp 2019: 211-219 - [d2]Attila Reiss, Ina Indlekofer, Philip Schmidt:
PPG-DaLiA. UCI Machine Learning Repository, 2019
- 2018
- [c6]Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters:
Prediction of electrocardiography features points using seismocardiography data: a machine learning approach. UbiComp 2018: 96-99 - [c5]Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven:
Labelling Affective States "in the Wild": Practical Guidelines and Lessons Learned. UbiComp/ISWC Adjunct 2018: 654-659 - [c4]Attila Reiss, Philip Schmidt, Ina Indlekofer, Kristof Van Laerhoven:
PPG-based Heart Rate Estimation with Time-Frequency Spectra: A Deep Learning Approach. UbiComp/ISWC Adjunct 2018: 1283-1292 - [c3]Philip Schmidt, Attila Reiss, Robert Dürichen, Claus Marberger, Kristof Van Laerhoven:
Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection. ICMI 2018: 400-408 - [d1]Philip Schmidt, Attila Reiss:
WESAD (Wearable Stress and Affect Detection). UCI Machine Learning Repository, 2018 - [i1]Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven:
Wearable affect and stress recognition: A review. CoRR abs/1811.08854 (2018) - 2017
- [c2]Sebastian Münzner, Philip Schmidt, Attila Reiss, Michael Hanselmann, Rainer Stiefelhagen, Robert Dürichen:
CNN-based sensor fusion techniques for multimodal human activity recognition. ISWC 2017: 158-165 - 2016
- [c1]Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht:
Gaussian Process Density Counting from Weak Supervision. ECCV (1) 2016: 365-380
Coauthor Index
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