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Outputs (52)

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. (2024). Innovative haptic-based system for upper limb rehabilitation in visually impaired individuals: a multilayer approach. Multimedia Tools and Applications, 83(21), 60537-60563. 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.

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.

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

Skin Identification Using Deep Convolutional Neural Network (2020)
Presentation / Conference Contribution
Oghaz, M. M. D., Argyriou, V., Monekosso, D., & Remagnino, P. (2020, December). Skin Identification Using Deep Convolutional Neural Network. Presented at ADVANCES IN VISUAL COMPUTING, ISVC 2019, PT I UNR Comp Vis Lab; Desert Res Inst; NASA; Ford; HP; Intel; BAE Syst; Delphi; Mitsubishi Elect Res Labs; GE; Toyota

Summarizing Videos with Attention (2019)
Presentation / Conference Contribution
Fajtl, J., Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2019, December). Summarizing Videos with Attention. Presented at COMPUTER VISION - ACCV 2018 WORKSHOPS