DATASETS
COGBEACON: A MULTIMODAL DATASET FOR COGNITIVE FATIGUE RECOGNITION
Papakostas M, Rajavenkatanarayanan A, Makedon F. CogBeacon: A Multi-Modal Dataset and Data-Collection Platform for Modeling Cognitive Fatigue. Technologies. 2019; 7(2):46.
EMG DATASET - PHYSICAL FATIGUE DETECTION AND PREDICTION
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.
EEG DATASET - THE SEQUENCE LEARNING COGNITIVE TASK
Papakostas, Michalis, Konstantinos Tsiakas, Theodoros Giannakopoulos and Fillia Makedon. “Towards predicting task performance from EEG signals.” 2017 IEEE International Conference on Big Data (Big Data) (2017): 4423-4425.
Tsiakas, K., Abellanoza, C., Abujelala, M., Papakostas, M., Makada, T., & Makedon, F. Towards Designing a Socially Assistive Robot for Adaptive and Personalized Cognitive Training., Workshop on "Robots for Learning", HRI (2017), ACM
HUMAN ACTIVITY RECOGNITION - ANNOTATED RGB VIDEOS AND ACCELEROMETER DATA FOR FITNESS MONITORING
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.
COGNILEARN - RGB DATA OF PHYSICAL EXERCISES RELATED TO COGNITIVE ASSESSMENT
Gattupalli, S., Ebert, D., Papakostas, M., Makedon, F., & Athitsos, V. (2017, March). Cognilearn: A deep learning-based interface for cognitive behavior assessment. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (pp. 577-587). ACM.
HUMAN ACTIVITY RECOGNITION - ANNOTATED RGB VIDEOS OF INDOOR RECORDINGS
Papakostas, M., Giannakopoulos, T., Makedon, F., & Karkaletsis, V. (2016, November). Short-Term Recognition of Human Activities Using Convolutional Neural Networks. In Signal-Image Technology & Internet-Based Systems (SITIS), 2016 12th International Conference on (pp. 302-307). IEEE.
*If you found any of the above data helpful to your research please cite the corresponding paper/s