DisCoach is a project led by Julien Longhi. It aims to analyze coaches' speech and athletes' feedback in order to optimize their performance in competition. This project was the winner of the latest call for projects SHS Innovations and Society which aims to enhance the value of HSS, and to achieve a degree of maturity likely to lead to more substantial funding or to the creation of a company.
Could you describe yourself in a few words?
My name is Julien Longhi and I'm a university professor in language sciences at CY, and a specialist in applied linguistics (discourse analysis and digital humanities in particular). I'm director of the AGORA laboratory, and teach in the Multimedia and Internet Professions department of the IUT. I'm passionate about linguistics, and above all its various practical applications. As a teacher and researcher, I'm keen to promote the full potential of my discipline, and to contribute to the development of innovative projects based on language data.
Could you present your technology and at what stage is it (TRL)?
The project is still in the pre-maturation phase, and a pre-project has enabled us to validate a number of protocols (capture, transcription) and analyses. We now need to find the right technologies to automate the analyses, and the right way to embed the technology in an interactive application. In short, the idea and methodology have reached an interesting stage of maturation, and the prototyping phase will enable us to test the tool in real-life conditions, and get feedback from users. Previous work on sports motivation and its links with performance also forms the basis of this technology. This work was supported by the CY Fondation (recruitment of a Master's intern).
How is this technology valued?
It is supported by the PUI CY Transfer, and also by different partners, such as Departmental table tennis committee of the Val d'Oise, several coaches are also involved, and contacts have been made with other authorities. The various technological building blocks can also be promoted scientifically (conferences, articles), since this is an original use of AI, in an interdisciplinary context linked to linguistics.
Want to know more?
Discover some of Julien Longhi's articles and other projects.
