Oresti Banos

activity recognition wearable sensors mhealth digital health human behavior human behaviour ontology emotion recognition mobile health motion sensors sensor displacement android wearable computing health devices smartphones machine learning cognitive assessment smart coaching motivational messages smartphone emg sensors context-awareness quantified self big data sensor selection sensor placement ontologies human anatomy sensor fusion sensor network kinect hci transfer learning weighted decision mobile computing windowing human behavior inference segmentation lifestyle iot e-coaching mobile phone social computing sensors ecg eeg speech recognition facial expression recognition affective computing ai artificial intelligence biodata smart tech signal processing biosignal natural language processing mobile sens- ing arm mobility energy expenditure smartwatch kinematics sensors heart rate sensor breast cancer android wear mhealth system publications ipr patents innovation performance status cancer physical activity wearables gamification anterior cruciate ligament patellofemoral pain syndrome frontal plane projection angle reflective markers depth video knee alignment human behavior identication context recognition onto- logical reasoning context inference inertial sensors physical therapy trunk endurance social analysis location detection ensemble methods data fusion social networks big knowledge personalized recommendations cloud computing user experience user interface big information knowledge bases coefficients quantization optimal color-channel selection discrete wavelet transform digital image watermarking mhealth framework portable sensors biomedical sensors hierarchical weighted classifier ambient sensors sensor anomalies real-world activity recognition decision fusion meta-classifier gesture recognition imu fitness exercises benchmark dataset hierarchical classification binary classification multisource fusion e-monitoring knowledge extraction feature selection ambulatory monitoring e-health physiological monitoring app ehealth window size inertial sensing