Four UJI projects apply artificial intelligence and remote sensing to improve cognitive capacity, human behaviour monitoring, labour intermediation and overcome spatial-spectral limitations



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## Four UJI projects apply artificial intelligence and remote sensing to improve cognitive capacity, human behaviour monitoring, labour intermediation and overcome spatial-spectral limitations

24/01/2023 |
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* [![ pei-computacio-dret _y5a67012](/com/investigacio/arxiu/noticies/2023/1/pei-computacio-dret/_y5a67012.jpg)](#)

Research staff from the GIANT (Machine Learning for Intelligent Environments), TKBG (Temporal Knowledge Bases), eVis (Visual Engineering) and DTSS (Labour Law, Social Security and Occupational Risk Prevention) groups have obtained more than two hundred and fifty thousand euros in the last competitive call of the Spanish Plan for Scientific, Technical and Innovation Research 2021-2023 for the development of four research projects that will apply artificial intelligence for the digital monitoring of human behaviour, the cognitive capacities of adolescents, the improvement of public labour intermediation and telediction to overcome the spatial-spectral and temporal limitations of this remote detection tool.

The study "Localisation and integrated detection for digital monitoring of human behaviour" led by Raúl Montoliu Colás and Óscar Belmonte Fernández of [GIANT - Research Group in Machine Learning for Intelligent Environments](https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=286) and the [University Institute of New Imaging Technologies (INIT)](https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=INIT) has a budget of 115,071 euros to provide novel sensory system solutions to detect the location and some physical and physiological states of the people being monitored (tremors, movements, etc.) and behavioural states such as the repetition of routines.

To this end, the research will focus on the analysis of data obtained from sensor networks and their modelling, as well as the digitisation of questionnaires, in order to find behavioural patterns to assess the state of physical, cognitive and social fragility of a person. The subproject also includes collaboration with the other teams in the consortium for the development of two applications: quality of human movement and digital monitoring of daily activities, especially among the elderly.

The project "Explainable artificial intelligence to enhance education and social welfare" led by Rafael Berlanga Llavori and Zoe Falomir Llansola, from the [TKBG - Temporal Knowledge Bases Group](https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=008) has obtained funding of 98,494 euros to improve the cognitive abilities of adolescents by means of Explainable Artificial Intelligence (XAI), new intelligent agents capable of helping their users to make decisions and explain such decisions explicitly.

XAI4SOC-UJI proposes two main mechanisms of interaction with XAI agents: cognitive video games to improve the spatial cognitive abilities of secondary school students and conversational systems for the recognition and management of emotions in adolescents. The project tasks are carried out in collaboration with several secondary schools in Castelló and with the spin-off SemanticBots for the development of chatbots.

The study "Inter-sensor data fusion for spectral-spatial products made in Sentinel/Flex" led by Filiberto Pla of the [Visual Engineering Group - eVis](http://www.vision.uji.es/index.php3) of the [University Institute of New Imaging Technologies (INIT)](https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=INIT), who has collaborated on projects related to these two missions, proposes to develop a data fusion utility to explore the synergies between the FLEX (Fluorescence Explorer designed to remotely measure the photosynthetic activity of vegetation) and Sentinel (Earth observation programme) missions to generate improved higher-level products that could overcome the current spatial-spectral and temporal limitations of the remote sensing data from these missions.

With 36,300 euros in funding, INTERSEN aims to combine the robustness of Sentinel-1 to atmospheric phenomena, the higher spatial resolution of Sentinel-2, as well as the wider spectral range and higher temporal resolution of Sentinel-3, and the hyperspectral resolution of FLEX, to complement one image with another using specialised algorithms that can produce improved images for accurate product maps of the Earth's surface.

The project "Artificial intelligence for the improvement of public labour intermediation" led by Arantzazu Vicente Palacio of the [DTSS group - Labour Law, Social Security and Occupational Risk Prevention](https://www.uji.es/serveis/ocit/base/grupsinvestigacio/detall?codi=060), and endowed with 36,033 euros, aims to provide LABORA (Valencian Employment Service) with an artificial intelligence application that allows them to improve their effectiveness and efficiency in the labour intermediation activity they carry out to overcome the challenge of the different needs of the actors in the labour market.

Artificial intelligence can be very useful in the generation of knowledge and the processing of data to evolve towards a full employment society. The application can also be used by other public employment services after the initial testing phase by LABORA, as it will be accompanied by an explanatory model associated with the learning model (Explainable AI) that allows explaining the algorithm's decisions and, therefore, adapting it to the needs of each labour market.

**SPANISH RESEARCH PLAN**

The researchers of the Universitat Jaume I of Castelló have obtained 4.17 million euros from the Spanish Research Agency, two more than in the previous call, for the development of 38 new research projects of the Spanish Plan for Scientific, Technical and Innovation Research 2021-2023, which focuses its objectives on the most strategic sectors for recovery, such as health, ecological transition and digitalisation.

The success rate (number of projects approved out of the total submitted) stands at 70% (the national average is 50%) and with an average funding per project of around 110,000 euros and 14 more projects than in the previous edition. With the 2021 call, the Universitat Jaume I reaches 23.7 million euros of funding for R&D&I since the creation of the Spanish Strategy for Science, Technology and Innovation a decade ago.

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