A5013018168- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Cell Image Analysis Techniques
- 3D Printing in Biomedical Research
- Biometric Identification and Security
- Neural Networks and Applications
- Hand Gesture Recognition Systems
- Photoreceptor and optogenetics research
- Advanced Fluorescence Microscopy Techniques
- Advanced Memory and Neural Computing
- Evacuation and Crowd Dynamics
- EEG and Brain-Computer Interfaces
- stochastic dynamics and bifurcation
- Indoor and Outdoor Localization Technologies
- E-Learning and Knowledge Management
- Evolutionary Psychology and Human Behavior
- Robotics and Sensor-Based Localization
- Gaze Tracking and Assistive Technology
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Educational Technology in Learning
- Higher Education Teaching and Evaluation
- Face and Expression Recognition
- Knowledge Societies in the 21st Century
- User Authentication and Security Systems
Universidad Politécnica de Madrid
2012-2019
Universitat de Miguel Hernández d'Elx
2013
National University of Distance Education
2010-2011
In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution assemblies living neurons, as they self-organize collections separated cells into elaborated, clustered, networks. At all different stages culture's development, identification neurons' and neurites' location by means a dedicated software allows ultimately extract an adjacency matrix each image culture. turn, systematic statistical analysis...
Keystroke dynamics biometrics through computers are based in the time that users need to press and hold keys often present too small amount of information. This limitation is eliminated environment mobile devices due a variety sensors (accelerometers, gyroscopes, pressure finger size) can be used acquire useful information from users. These data have been acquired within scenario typing 4-digit PIN order analyze possibilites reinforcing security devices. A database with keystroke patterns...
Abstract Large scale phase‐contrast images taken at high resolution through the life of a cultured neuronal network are analyzed by graph‐based unsupervised segmentation algorithm with very low computational cost, scaling linearly image size. The processing automatically retrieves whole structure, an object whose mathematical representation is matrix in which nodes identified neurons or neurons' clusters, and links reconstructed connections between them. also able to extract any other...
Unconstrained and contact-free hand recognition problem with mobile devices is not solved yet because these systems have to deal hard problems like different backgrounds illumination. Algorithms perform an image segmentation in order create regions the same semantic meaning are a work progress. Graph theory has been used successfully reach good many fields but algorithms computational demanding (time memory) making it very difficult use on platforms. New needed adapt biometric technologies...
This paper introduces a new biorobotic system using human neuroblastoma cultures and centre of area learning for basic robotic guidance. Multielectrode Arrays Setups have been designed direct culturing neural cells over silicon or glass substrates, providing the capability to stimulate record simultaneously populations cells. The main objective this work will be control robot biological neuroprocessor simple scheme. final could applied testing how chemicals affect behaviour establish basis...
Purpose–This study explores the feasibility and effectiveness of utilizing a deep learning algorithm integrated into an AI robot to provide mental health support. Method–The research employs techniques machine algorithms develop AI-powered capable understanding responding human emotions needs. The is trained on diverse dataset health-related information, including text, audio, visual inputs, enhance its comprehension response capabilities. Results–Initial testing demonstrates promising...
Synchronization is one of the central phenomena involved in information processing living systems. It known that nervous system requires coordinated activity both local and distant neural populations. Such an interplay allows to merge different modalities a whole supporting high-level mental skills as understanding, memory, abstraction, etc. Though, biological processes underlying synchronization brain are not fully understood there have been reported variety mechanisms types at theoretical...
The traditional location based services (LSB) applications that require pedestrians’ position, developments in pedestrian positioning systems present a great potential to assist users with special needs, e.g., people spatial disorientation issues. In episode person hesitates about her/his surroundings or gets lost otherwise familiar environments. Research dead reckoning has shown outstanding results the user’s position on human locomotion patterns. this paper, we leverage advances personal...