The affective computing offers an AI-based tool to detect the emotional status of people in a non-obtrusive way and provide adequate actions to change it or to reinforce motivation in case that emotions with a bad polarity are found.
Addressing target audiences and expressing needs
- Help in technical expertise
- Use of research Infrastructure
- Collaboration
We are looking for the possibilities of exploitation of this tool:
– In the case of HIB, we plan to leverage the knowledge derived from the implementation of the classifier of emotion based on visual features to extend the functionalities of our current solutions.
– In the case of JSI, they plan to use this information to extend their current portfolio of research and help in technical expertise.
Also, we plan to jointly use this tool as an element for mutual collaboration in future research projects.
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
This model has been already integrated in the final prototype of WellCo and validated in real scenarios with elderly people in Italy, Denmark and Spain.
The next steps are the extension of the model to other languages and the improvement of the model, both in terms of accuracy and performance
Emotional status is an independt module that coul be integrated in other architectures.
