Outputs (54)

Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach (2023)
Journal Article
Albusac, J., Herrera, V., Schez-Sobrino, S., Grande, R., Vallejo, D., & Monekosso, D. (2023). Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach. Multimedia Tools and Applications, https://doi.org/10.1007/s11042-023-17892-4

The integration of technology in healthcare has revolutionized physical rehabilitation of patients affected by neurological conditions, such as spinal cord injuries and strokes. However, a significant gap remains in addressing the needs of the visual... Read More about Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach.

Health-5G: A Mixed Reality-Based System for Remote Medical Assistance in Emergency Situations (2023)
Journal Article
García, F. M., Moraleda, R., Schez-Sobrino, S., Monekosso, D. N., Vallejo, D., & Glez-Morcillo, C. (2023). Health-5G: A Mixed Reality-Based System for Remote Medical Assistance in Emergency Situations. IEEE Access, 11, https://doi.org/10.1109/ACCESS.2023.3285420

Mixed reality is the combination of virtual and augmented reality to interactively and believably merge physical and computer-generated environments. This paper discusses the design of Health5G, a scalable mixed reality-based system that facilitates... Read More about Health-5G: A Mixed Reality-Based System for Remote Medical Assistance in Emergency Situations.

Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation (2023)
Journal Article
Herrera, V., Vallejo, D., Castro-Schez, J. J., Monekosso, D. N., de los Reyes, A., Glez-Morcillo, C., & Albusac, J. (2023). Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation. SoftwareX, 23, Article 101412. https://doi.org/10.1016/j.softx.2023.101412

In this article, we present a framework, called Rehab-Immersive (RI), for the development of virtual reality clinical applications as a complement to the rehabilitation of patients with spinal cord injuries. RI addresses the interaction of patients w... Read More about Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation.

Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine (2022)
Journal Article
Zarachoff, M. M., Sheikh-Akbari, A., & Monekosso, D. (2022). Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine. Applied Sciences, 12(4), Article 2033. https://doi.org/10.3390/app12042033

This paper introduces the Chainlet-based Ear Recognition algorithm using Multi-Banding and Support Vector Machine (CERMB-SVM). The proposed technique splits the gray input image into several bands based on the intensity of its pixels, similar to a hy... Read More about Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine.

A Fuzzy Recommendation System for the Automatic Personalization of Physical Rehabilitation Exercises in Stroke Patients (2021)
Journal Article
Gmez-Portes, C., Jesus Castro-Schez, J., Albusac, J., Monekosso, D. N., & Vallejo, D. (2021). A Fuzzy Recommendation System for the Automatic Personalization of Physical Rehabilitation Exercises in Stroke Patients. Mathematics, 9(12), Article 1427. https://doi.org/10.3390/math9121427

Skin Identification Using Deep Convolutional Neural Network (2020)
Conference Proceeding
Oghaz, M. M. D., Argyriou, V., Monekosso, D., & Remagnino, P. (2020). Skin Identification Using Deep Convolutional Neural Network. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, D. Ushizima, S. Chai, …P. Xu (Eds.), . https://doi.org/10.1007/978-3-030-33720-9%5C_14

A Distributed Gamified System Based on Automatic Assessment of Physical Exercises to Promote Remote Physical Rehabilitation (2020)
Journal Article
Schez-Sobrino, S., Vallejo, D., Monekosso, D., Glez-Morcillo, C., & Remagnino, P. (2020). A Distributed Gamified System Based on Automatic Assessment of Physical Exercises to Promote Remote Physical Rehabilitation. IEEE Access, 8, 91424-91434. https://doi.org/10.1109/access.2020.2995119

Latent Bernoulli Autoencoder (2020)
Conference Proceeding
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2020). Latent Bernoulli Autoencoder. In H. Daume, & A. Singh (Eds.),

Summarizing Videos with Attention (2019)
Conference Proceeding
Fajtl, J., Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2019). Summarizing Videos with Attention. In G. Carneiro, & S. You (Eds.), . https://doi.org/10.1007/978-3-030-21074-8%5C_4

Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA (2019)
Conference Proceeding
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2019). Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA.

Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation (2019)
Conference Proceeding
Schez-Sobrino, S., Monekosso, D. N., Remagnino, P., Vallejo, D., & Glez-Morcillo, C. (2019). Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation.

DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION (2018)
Conference Proceeding
Mandal, B., Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION.

Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues (2018)
Conference Proceeding
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2018). Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues.

2D Multi-Band PCA and its Application for Ear Recognition (2018)
Conference Proceeding
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2018). 2D Multi-Band PCA and its Application for Ear Recognition.

Superframes, A Temporal Video Segmentation (2018)
Conference Proceeding
Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). Superframes, A Temporal Video Segmentation.

AMNet: Memorability Estimation with Attention (2018)
Conference Proceeding
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). AMNet: Memorability Estimation with Attention. . https://doi.org/10.1109/cvpr.2018.00666

Weakly supervised activity analysis with spatio-temporal localisation (2016)
Journal Article
Gu, F., Sridhar, M., Cohn, A., Hogg, D., Florez-Revuelta, F., Monekosso, D., & Remagnino, P. (2016). Weakly supervised activity analysis with spatio-temporal localisation. Neurocomputing, 216, 778-789. https://doi.org/10.1016/j.neucom.2016.08.032

Fuzzy-Rough based Decision System for Gait adopting Instance Selection (2016)
Conference Proceeding
Jhawar, A., Chan, C. S., Monekosso, D., & Remagnino, P. (2016). Fuzzy-Rough based Decision System for Gait adopting Instance Selection.

Ambient Assisted Living (2015)
Journal Article
Monekosso, D., Florez-Revuelta, F., & Remagnino, P. (2015). Ambient Assisted Living. IEEE Intelligent Systems, 30(4), 2-6. https://doi.org/10.1109/mis.2015.63

Telemetry assisted frame registration and background subtraction in low-altitude UAV videos (2015)
Conference Proceeding
Tzanidou, G., Climent-Perez, P., Hummel, G., Schmitt, M., Stuetz, P., Monekosso, D. N., & Remagnino, P. (2015). Telemetry assisted frame registration and background subtraction in low-altitude UAV videos.

Guest Editorial Special Issue on Ambient-Assisted Living: Sensors, Methods, and Applications (2015)
Journal Article
Monekosso, D. N., Florez-Revuelta, F., & Remagnino, P. (2015). Guest Editorial Special Issue on Ambient-Assisted Living: Sensors, Methods, and Applications. IEEE Transactions on Human-Machine Systems, 45(5, SI), 545-549. https://doi.org/10.1109/thms.2015.2458019

Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition (2015)
Journal Article
Gu, F., Florez-Revuelta, F., Monekosso, D., & Remagnino, P. (2015). Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition. Sensors, 15(7), 17209-17231. https://doi.org/10.3390/s150717209

Telemetry-Based Search Window Correction for Airborne Tracking (2014)
Conference Proceeding
Climent-Perez, P., Lazaridis, G., Hummel, G., Russ, M., Monekosso, D. N., & Remagnino, P. (2014). Telemetry-Based Search Window Correction for Airborne Tracking. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. McMahan, J. Jerald, …M. Carlson (Eds.),

Detecting Events in Crowded Scenes using Tracklet Plots (2014)
Conference Proceeding
Climent-Perez, P., Mauduit, A., Monekosso, D. N., & Remagnino, P. (2014). Detecting Events in Crowded Scenes using Tracklet Plots. In S. Battiato, & J. Braz (Eds.),

Detection of salient regions in crowded scenes (2014)
Journal Article
Lim, M., Chan, C., Monekosso, D., & Remagnino, P. (2014). Detection of salient regions in crowded scenes. Electronics Letters, 50(5), 363-364. https://doi.org/10.1049/el.2013.3993

Multi-view event detection in crowded scenes using tracklet plots (2014)
Conference Proceeding
Climent-Perez, P., Monekosso, D. N., & Remagnino, P. (2014). Multi-view event detection in crowded scenes using tracklet plots. . https://doi.org/10.1109/icpr.2014.748

Robot Teams: Sharing Visual Memories (2014)
Conference Proceeding
Grech, R., Florez-Revuelta, F., Monekosso, D. N., & Remagnino, P. (2014). Robot Teams: Sharing Visual Memories. In M. Hsieh, & G. Chirikjian (Eds.), . https://doi.org/10.1007/978-3-642-55146-8%5C_26

Refined particle swarm intelligence method for abrupt motion tracking (2014)
Journal Article
Lim, M. K., Chan, C. S., Monekosso, D., & Remagnino, P. (2014). Refined particle swarm intelligence method for abrupt motion tracking. Information Sciences, 283, 267-287. https://doi.org/10.1016/j.ins.2014.01.003

Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms (2013)
Conference Proceeding
Mullen, R. J., Monekosso, D., Barman, S., & Remagnino, P. (2013). Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms. In A. Martinoli, F. Mondada, N. Correll, G. Mermoud, M. Egerstedt, M. Hsieh, …K. Stoy (Eds.),

The Visual Object Tracking VOT2013 challenge results (2013)
Conference Proceeding
Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Porikli, F., Cehovin, L., …Niu, Z. (2013). The Visual Object Tracking VOT2013 challenge results. . https://doi.org/10.1109/iccvw.2013.20

Ant algorithms for image feature extraction (2013)
Journal Article
Mullen, R. J., Monekosso, D. N., & Remagnino, P. (2013). Ant algorithms for image feature extraction. Expert Systems with Applications, 40(11), 4315-4332. https://doi.org/10.1016/j.eswa.2013.01.020

Data reconciliation in a smart home sensor network (2013)
Journal Article
Monekosso, D. N., & Remagnino, P. (2013). Data reconciliation in a smart home sensor network. Expert Systems with Applications, 40(8), 3248-3255. https://doi.org/10.1016/j.eswa.2012.12.037

A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets (2013)
Journal Article
Thida, M., Eng, H., Monekosso, D. N., & Remagnino, P. (2013). A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets. Applied Soft Computing, 13(6), 3106-3117. https://doi.org/10.1016/j.asoc.2012.05.019

The ``Good'' Brother: Monitoring People Activity in Private Spaces (2012)
Conference Proceeding
Padilla-Lopez, J. R., Florez-Revuelta, F., Monekosso, D. N., & Remagnino, P. (2012). The ``Good'' Brother: Monitoring People Activity in Private Spaces. In S. Omatu, J. Santana, S. Gonzalez, J. Molina, A. Bernardos, & J. Rodriguez (Eds.),

Building visual memories of video streams (2012)
Journal Article
Grech, R., Monekosso, D., & Remagnino, P. (2012). Building visual memories of video streams. Electronics Letters, 48(9), 487-U36. https://doi.org/10.1049/el.2011.3926

Multi-robot Teams for Environmental Monitoring (2011)
Book Chapter
Espina, M. V., Grech, R., De Jager, D., Remagnino, P., Iocchi, L., Marchetti, L., …King, C. (2011). Multi-robot Teams for Environmental Monitoring. In P. Remagnino, D. Monekosso, & L. Jain (Eds.), INNOVATIONS IN DEFENCE SUPPORT SYSTEMS - 3: INTELLIGENT PARADIGMS IN SECURITY (183-209)

A Vision-Based System for Object Identification and Information Retrieval in a Smart Home (2010)
Conference Proceeding
Grech, R., Monekosso, D., de Jager, D., & Remagnino, P. (2010). A Vision-Based System for Object Identification and Information Retrieval in a Smart Home. In B. DeRuyter, R. Wichert, D. Keyson, P. Markopoulos, N. Streitz, M. Divitini, …A. Gomez (Eds.),

Behavior Analysis for Assisted Living (2010)
Journal Article
Monekosso, D. N., & Remagnino, P. (2010). Behavior Analysis for Assisted Living. IEEE Transactions on Automation Science and Engineering, 7(4, SI), 879-886. https://doi.org/10.1109/tase.2010.2049840

Intelligent Environments: Methods, Algorithms and Applications (2009)
Book Chapter
Monekosso, D. N., Remagnino, P., & Kuno, Y. (2009). Intelligent Environments: Methods, Algorithms and Applications. In D. Monekosso, P. Remagnino, & Y. Kuno (Eds.), INTELLIGENT ENVIRONMENTS: METHODS, ALGORITHMS AND APPLICATIONS (1-11). https://doi.org/10.1007/978-1-84800-346-0%5C_1

The Analysis of Crowd Dynamics: From Observations to Modelling (2009)
Book Chapter
Zhan, B., Remagnino, P., Monekosso, D., & Velastin, S. (2009). The Analysis of Crowd Dynamics: From Observations to Modelling. In C. Mumford, & L. Jain (Eds.), COMPUTATIONAL INTELLIGENCE: COLLABORATION, FUSION AND EMERGENCE (441-472)

Augmenting Professional Training, an Ambient Intelligence Approach (2009)
Book Chapter
Zhan, B., Monekosso, D., Rush, S., Remagnino, P., & Velastin, S. (2009). Augmenting Professional Training, an Ambient Intelligence Approach. In D. Monekosso, P. Remagnino, & Y. Kuno (Eds.), INTELLIGENT ENVIRONMENTS: METHODS, ALGORITHMS AND APPLICATIONS (109-125). https://doi.org/10.1007/978-1-84800-346-0%5C_7

Anomalous Behavior Detection: Supporting Independent Living (2009)
Book Chapter
Monekosso, D. N., & Remagnino, P. (2009). Anomalous Behavior Detection: Supporting Independent Living. In D. Monekosso, P. Remagnino, & Y. Kuno (Eds.), INTELLIGENT ENVIRONMENTS: METHODS, ALGORITHMS AND APPLICATIONS (35-50). https://doi.org/10.1007/978-1-84800-346-0%5C_3

Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis (2009)
Conference Proceeding
Monekosso, D., & Remagnino, P. (2009). Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis. In M. Tscheligi, B. DeRuyter, P. Markopoulus, R. Wichert, T. Mirlacher, A. Meschtscherjakov, & W. Reitberger (Eds.),

Synthetic Training Data Generation for ADL Modeling (2009)
Conference Proceeding
Monekosso, D. N., & Remagnino, P. (2009). Synthetic Training Data Generation for ADL Modeling. In M. Schneider, A. Kroner, J. Alvarado, A. Higuera, J. Augusto, D. Cook, …V. Callaghan (Eds.), . https://doi.org/10.3233/978-1-60750-056-8-137

A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES (2009)
Conference Proceeding
Bloisi, D., Iocchi, L., Monekosso, D. N., & Remagnino, P. (2009). A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES.

A Multi-agent Architecture for Multi-robot Surveillance (2009)
Conference Proceeding
Vallejo, D., Remagnino, P., Monekosso, D. N., Jimenez, L., & Gonzalez, C. (2009). A Multi-agent Architecture for Multi-robot Surveillance. In N. Nguyen, R. Kowalczyk, & S. Chen (Eds.),

An Adaptive Tracker for Assisted Living (2009)
Conference Proceeding
Bloisi, D., Iocchi, L., Marchetti, L., Monekosso, D. N., & Remagnino, P. (2009). An Adaptive Tracker for Assisted Living. . https://doi.org/10.1109/avss.2009.96

Introducing Automation and Engineering for Ambient Intelligence (2009)
Journal Article
Remagnino, P., Monekosso, D. N., Kuno, Y., Trivedi, M. M., & Eng, H. (2009). Introducing Automation and Engineering for Ambient Intelligence. IEEE Transactions on Automation Science and Engineering, 6(4), 573-576. https://doi.org/10.1109/tase.2009.2022976

A review of ant algorithms (2009)
Journal Article
Mullen, R., Monekosso, D., Barman, S., & Remagnino, P. (2009). A review of ant algorithms. Expert Systems with Applications, 36(6), 9608-9617. https://doi.org/10.1016/j.eswa.2009.01.020

Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program (2009)
Journal Article
Owen, C. G., Rudnicka, A. R., Mullen, R., Barman, S. A., Monekosso, D., Whincup, P. H., …Paterson, C. (2009). Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program. Investigative Ophthalmology & Visual Science, 50(5), 2004-2010. https://doi.org/10.1167/iovs.08-3018

A Hierarchical Model-Based System for Discovering Atypical Behavior (2008)
Conference Proceeding
Monekosso, D. N. (2008). A Hierarchical Model-Based System for Discovering Atypical Behavior.

Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns (2008)
Conference Proceeding
Mullen, R. J., Monekosso, D., Barman, S., Remagnino, P., & Wilkin, P. (2008). Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stutzle, & A. Winfield (Eds.),

Detecting Activities for Assisted Living (2008)
Conference Proceeding
Monekosso, D., & Remagnino, P. (2008). Detecting Activities for Assisted Living. In M. Muhlhauser, A. Ferscha, & E. Aitenbichler (Eds.), . https://doi.org/10.1007/978-3-540-85379-4%5C_28

Crowd analysis: a survey (2008)
Journal Article
Zhan, B., Monekosso, D. N., Remagnino, P., Velastin, S. A., & Xu, L. (2008). Crowd analysis: a survey. Machine Vision and Applications, 19(5-6), 345-357. https://doi.org/10.1007/s00138-008-0132-4