Papakostas M, Rajavenkatanarayanan A, Makedon F. CogBeacon: A Multi-Modal Dataset and Data-Collection Platform for Modeling Cognitive Fatigue. Technologies. 2019; 7(2):46.
The CogBeacon Platform: DOWNLOAD CODE - (python)
Benchmark Analysis: DOWNLOAD CODE+DATASET - (python)
Papakostas, Michalis, et al. "Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation." Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 2019.
DOWNLOAD CODE - (python)
Papakostas, Michalis, and Theodoros Giannakopoulos. "Speech-Music Discrimination Using Deep Visual Feature Extractors." Expert Systems with Applications (2018).
DOWNLOAD CODE - (python)
Papakostas, Michalis, et al. "Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition." Computation 5.2 (2017): 26.
DOWNLOAD CODE - (python)
Papakostas, Michalis, et al. "Towards predicting task performance from EEG signals." Big Data (Big Data), 2017 IEEE International Conference on. IEEE, 2017.
DOWNLOAD CODE - (python)
Papakostas, Michalis, Theodore Giannakopoulos, and Vangelis Karkaletsis. "A Fitness Monitoring System based on Fusion of Visual and Sensorial Information." Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 2017.
DOWNLOAD CODE - (python)
Papakostas, Michalis, et al. "Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies." Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 2015.
DOWNLOAD CODE - (matlab)
*If you found any the implementations above helpful to your research please cite the corresponding paper/s