IMPLEMENTATIONS

COGBEACON: A MULTI-MODAL DATASET & DATA COLLECTION PLATFORM FOR MODELING COGNITIVE FATIGUE

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)

PHYSICAL FATIGUE MONITORING BASED ON EMG WEARABLES AND SUBJECTIVE USER REPORTS

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)

SPEECH-MUSIC DISCRIMINATION USING CNNs

Papakostas, Michalis, and Theodoros Giannakopoulos. "Speech-Music Discrimination Using Deep Visual Feature Extractors." Expert Systems with Applications (2018).

DOWNLOAD CODE - (python)

EMOTION RECOGNITION FROM SPEECH USING CNNs

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)

PREDICTING  PERFORMANCE ON COGNITIVE TASK USING EEG SIGNALS

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)

MULTI-MODAL ACTIVITY RECOGNITION 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.

DOWNLOAD CODE - (python)

MOTION TRACKING

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