A5058567634- Spectroscopy and Chemometric Analyses
- Identification and Quantification in Food
- Face and Expression Recognition
- Spider Taxonomy and Behavior Studies
- Bee Products Chemical Analysis
- EEG and Brain-Computer Interfaces
- Biometric Identification and Security
- Advanced Chemical Sensor Technologies
- Obstructive Sleep Apnea Research
- ECG Monitoring and Analysis
- Phonetics and Phonology Research
- Animal Vocal Communication and Behavior
- Sleep and Work-Related Fatigue
- Biochemical and Structural Characterization
- Photoacoustic and Ultrasonic Imaging
- Speech and Audio Processing
- Image Processing Techniques and Applications
- Insect and Arachnid Ecology and Behavior
- Hand Gesture Recognition Systems
- Advanced Image Processing Techniques
- Neural dynamics and brain function
- Speech Recognition and Synthesis
- Thermal Radiation and Cooling Technologies
- Functional Brain Connectivity Studies
- Image Retrieval and Classification Techniques
Universidad de Las Palmas de Gran Canaria
2011-2022
Conserving earth's biodiversity for future generations is a fundamental global task, where automated recognition of pollen species by means computer vision represents highly prioritized issue. This work focuses on analysis and classification stages. The morphological details the contour are proposed as grains discriminative features. approach has been developed robust identification based an HMM kernel. A Vector Support Machine was used classifier. principal contribution in this work, terms...
This work presents a novel communications technology named Thermal Camera Communication (TCC), which is analogous to Optical (OCC). Thermographic cameras and Peltier cells are proposed as receiver transmitter, respectively, changing completely their usual field of application. Furthermore, comprehensive characterization the Peltier–Thermal camera pair carried out, presenting bandwidth, achievable data rate under On-Off-Keying (OOK) modulation, noise characteristics, energy efficiency. A...
In a time when personal data circulates constantly between devices and within the cloud, biometric security systems represents one of most viable solutions. A relatively new modality based on individual's Electroencephalogram (EEG) is starting now to gain popularity among researchers. Its relevance relay mainly its prospects high robustness against intruders proliferation consumer EEG devices. this work we propose use real cepstrums as descriptors subject traits EEG. When evaluated with each...
The continuous development of thermographic technology has led to the overall improvement instruments used in medicine, surveillance, or military systems. However, imaging cameras still have a high cost compared other alternatives on market, such as visible light and much lower spatial resolution. Super-resolution is technique that improves visual quality an image through software processing. This work studies three neural networks architectures based deep learning capable performing...
Recently, hyper-spectral facial image capturing techniques have opened a new door for creating innovative aiming to improve these systems features. In our work, we developed verification approach based on Principal Component Analysis, and doing channel fusion (data fusion), in particular 5, 13, 14, 16, 24, 33, 34 channels, reaching an Equal Error Rate of 97.37%; showing good behavior the kind images.