Philip Schmidt

According to our database, Philip Schmidt authored at least 13 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

PPG-DaLiA.

Attila Reiss, Ina Indlekofer, Philip Schmidt

Dataset, July, 2019

Wearable-based affect recognition.

Philip Schmidt

PhD thesis, 2019

Wearable-Based Affect Recognition - A Review.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

Sensors, 2019

Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks.

Attila Reiss, Ina Indlekofer, Philip Schmidt, Kristof Van Laerhoven

Sensors, 2019

Multi-target affect detection in the wild: an exploratory study.

Philip Schmidt, Robert Dürichen, Attila Reiss, Kristof Van Laerhoven, Thomas Plötz

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

WESAD (Wearable Stress and Affect Detection).

Philip Schmidt, Attila Reiss

Dataset, September, 2018

Wearable affect and stress recognition: A review.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

CoRR, 2018

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection.

Philip Schmidt, Attila Reiss, Robert Dürichen, Claus Marberger, Kristof Van Laerhoven

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Labelling Affective States "in the Wild": Practical Guidelines and Lessons Learned.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

PPG-based Heart Rate Estimation with Time-Frequency Spectra: A Deep Learning Approach.

Attila Reiss, Philip Schmidt, Ina Indlekofer, Kristof Van Laerhoven

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Prediction of electrocardiography features points using seismocardiography data: a machine learning approach.

Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2017

CNN-based sensor fusion techniques for multimodal human activity recognition.

Sebastian Münzner, Philip Schmidt, Attila Reiss, Michael Hanselmann, Rainer Stiefelhagen, Robert Dürichen

Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016

Gaussian Process Density Counting from Weak Supervision.

Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2016, 2016