|Window size impact in human activity recognition|
O Banos, JM Galvez, M Damas, H Pomares, I Rojas
Sensors 14 (4), 6474-6499, 2014
|mHealthDroid: a novel framework for agile development of mobile health applications|
O Banos, R Garcia, JA Holgado-Terriza, M Damas, H Pomares, I Rojas, ...
International workshop on ambient assisted living, 91-98, 2014
|Daily living activity recognition based on statistical feature quality group selection|
O Banos, M Damas, H Pomares, A Prieto, I Rojas
Expert Systems with Applications 39 (9), 8013-8021, 2012
|Dealing with the effects of sensor displacement in wearable activity recognition|
O Banos, M Toth, M Damas, H Pomares, I Rojas
Sensors 14 (6), 9995-10023, 2014
|Design, implementation and validation of a novel open framework for agile development of mobile health applications|
O Banos, C Villalonga, R Garcia, A Saez, M Damas, JA Holgado-Terriza, ...
Biomedical engineering online 14 (2), S6, 2015
|A benchmark dataset to evaluate sensor displacement in activity recognition|
O Baños, M Damas, H Pomares, I Rojas, MA Tóth, O Amft
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 1026-1035, 2012
|Physiodroid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring|
O Banos, C Villalonga, M Damas, P Gloesekoetter, H Pomares, I Rojas
The Scientific World Journal 2014, 2014
|Human activity recognition based on a sensor weighting hierarchical classifier|
O Banos, M Damas, H Pomares, F Rojas, B Delgado-Marquez, ...
Soft Computing 17 (2), 333-343, 2013
|The Mining Minds Digital Health and Wellness Framework|
O Banos, MB Amin, WA Khan, M Afzal, M Hussain, BH Kang, S Lee
BioMedical Engineering OnLine 15 (1), 165-186, 2016
|On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition|
O Banos, M Damas, H Pomares, I Rojas
Sensors 12 (6), 8039-8054, 2012
|Mining minds: an innovative framework for personalized health and wellness support|
O Banos, MB Amin, WA Khan, T Ali, M Afzal, BH Kang, S Lee
2015 9th International Conference on Pervasive Computing Technologies for …, 2015
|Classification of MRI images for Alzheimer's disease detection|
LJ Herrera, I Rojas, H Pomares, A Guillén, O Valenzuela, O Baños
2013 International Conference on Social Computing, 846-851, 2013
|Kinect= imu? learning mimo signal mappings to automatically translate activity recognition systems across sensor modalities|
O Banos, A Calatroni, M Damas, H Pomares, I Rojas, H Sagha, JR Mill, ...
2012 16th International Symposium on Wearable Computers, 92-99, 2012
|On curating multimodal sensory data for health and wellness platforms|
M Amin, O Banos, W Khan, H Muhammad Bilal, J Gong, DM Bui, S Cho, ...
Sensors 16 (7), 980, 2016
|Multi-sensor fusion based on asymmetric decision weighting for robust activity recognition|
O Banos, M Damas, A Guillen, LJ Herrera, H Pomares, I Rojas, ...
Neural Processing Letters 42 (1), 5-26, 2015
|mDurance: a novel mobile health system to support trunk endurance assessment|
O Banos, J Moral-Munoz, I Diaz-Reyes, M Arroyo-Morales, M Damas, ...
Sensors 15 (6), 13159-13183, 2015
|MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition|
C Villalonga, H Pomares, I Rojas, O Banos
Neurocomputing 250, 76-100, 2017
|Human behavior analysis by means of multimodal context mining|
O Banos, C Villalonga, J Bang, T Hur, D Kang, S Park, V Le-Ba, M Amin, ...
Sensors 16 (8), 1264, 2016
|An innovative platform for person-centric health and wellness support|
O Banos, MB Amin, WA Khan, M Afzel, M Ahmad, M Ali, T Ali, R Ali, ...
International Conference on Bioinformatics and Biomedical Engineering, 131-140, 2015
|Smartphone location-independent physical activity recognition based on transportation natural vibration analysis|
T Hur, J Bang, D Kim, O Banos, S Lee
Sensors 17 (4), 931, 2017