Firmly focused on the future, Lojelis puts its digital and business expertise to work in research and development
Discover our 4 pillars of research and development
STRESS AND RELAXATION
Use of virtual reality to offer the user physical contact with his virtual environment, with the aim of having a positive impact on his period of relaxation.
WELL-BEING AND WORK
Application to create and test digital supports: reliable, to establish a diagnosis of Quality of Life within a company, and relevant, to prevent, accompany and develop the well-being at work of its employees.
STIGMATISATION AND MENTAL ILLNESS
Visualisation of the stigmatisation of patients suffering from a mental illness by health professionals and the various consequences generated.
IA & THERAPEUTIC EDUCATION
Digitalisation to improve patient follow-up, to individualise it using tools based on Artificial Intelligence (logical description of psychological and pedagogical principles) and, thus, to maintain motivation via a playful protocol (personal challenges and follow-up interviews).
GETTING BACK INTO SHAPE
Following neurological or muscular disorders, some people find their mobility and autonomy limited. This project, conducted in partnership with coaches, aims to exploit body-tracking technologies and augmented reality. The aim is to enable people to practice fitness exercises at home, receiving immediate feedback on their performance.
PROMOTING RUGBY
Experiencing something for yourself is one of the strongest ways to feel a commitment to an activity. This project proposes to use the immersion and sense of presence provided by virtual reality to take a user on a journey as a professional rugby player during a penalty kick.
MOTIVATION AND COMMITMENT
Based on theories and models from Cognitive and Social psychologies (eg, theories of fundamental needs and self-determination) and on Lojelis’ skills in Artificial Intelligence, this axis is devoted to the proposal, creation and evaluation of digital media: mascot, advice sheets, mini-games, etc. to motivate an individual to engage (more) in a task and to take into account the result of his engagement.
Currently, we are working on maintaining the motivation and commitment of a patient in his medical follow-up recovery process. In addition, our approach can also be extended to other areas, for example for an employee in his professional daily activity or an athletic during his training.
STRESS AND RELAXATION
Use of virtual reality to offer the user physical contact with his virtual environment, with the aim of having a positive impact on his period of relaxation.
WELL-BEING AND WORK
Application to create and test digital supports: reliable, to establish a diagnosis of Quality of Life within a company, and relevant, to prevent, accompany and develop the well-being at work of its employees.
STIGMATISATION AND MENTAL ILLNESS
Visualisation of the stigmatisation of patients suffering from a mental illness by health professionals and the various consequences generated.
IA & THERAPEUTIC EDUCATION
Digitalisation to improve patient follow-up, to individualise it using tools based on Artificial Intelligence (logical description of psychological and pedagogical principles) and, thus, to maintain motivation via a playful protocol (personal challenges and follow-up interviews).
GETTING BACK INTO SHAPE
Following neurological or muscular disorders, some people find their mobility and autonomy limited. This project, conducted in partnership with coaches, aims to exploit body-tracking technologies and augmented reality. The aim is to enable people to practice fitness exercises at home, receiving immediate feedback on their performance.
PROMOTING RUGBY
Experiencing something for yourself is one of the strongest ways to feel a commitment to an activity. This project proposes to use the immersion and sense of presence provided by virtual reality to take a user on a journey as a professional rugby player during a penalty kick.
MOTIVATION AND COMMITMENT
Based on theories and models from Cognitive and Social psychologies (eg, theories of fundamental needs and self-determination) and on Lojelis’ skills in Artificial Intelligence, this axis is devoted to the proposal, creation and evaluation of digital media: mascot, advice sheets, mini-games, etc. to motivate an individual to engage (more) in a task and to take into account the result of his engagement.
Currently, we are working on maintaining the motivation and commitment of a patient in his medical follow-up recovery process. In addition, our approach can also be extended to other areas, for example for an employee in his professional daily activity or an athletic during his training.
Artificial intelligence and the environment: making better use of our resources!
Our environmental approach aims to improve the management of our water resources. This is a problem that has been identified for years, but for which there are few solutions on the market today. Our aim is to use our business expertise and research to propose innovative solutions to address this issue, which is increasingly present in our society.
The interest of using Machine Learning algorithms in this context is:
Sustainable mobility is becoming increasingly important in the consciousness of users. Numerous solutions for all types of vehicles are currently being studied. For bikes or cars, we propose solutions in co-sharing for an intelligent use of the means of transport. However, always looking to the future, we also propose a solution for hydrogen vehicles, the future vehicles of tomorrow.
In order to predict this new hydrogen market, we propose long-term research and development innovations using AI. The interest of using artificial intelligence in this context is to:
FACILITATE THE DEVELOPMENT OF HYDROGEN
By improving exchanges between the various stakeholders (vehicle manufacturer, hydrogen supplier and end user)
OPTIMISING THE USE OF VEHICLES
By calculating the ideal route for the user and optimising hydrogen refill points
DEMOCRATISE THE USE OF HYDROGEN
By reducing the fear factors linked to the use of hydrogen and facilitating its daily use
Artificial intelligence is at the heart of our research and development programmes: machine learning and text mining feed the solutions provided by Lojelis.
The use of AI goes as far as the detection of emotions!
The interest of this line of research is to make data speak, as it is becoming increasingly important in all fields.
The objectives of this area are:
A lot of information is stored in text format (Word, PDF, etc.). The problem with this data is that it is unstructured and therefore not usable.
The objective of this axis is to be able to extract, structure and exploit unstructured or semi-structured textual data such as prescriptions and medical reports, CVs sent to the HR department and, of course, all textual data from forums and social networks.
As a common platform for solving logical, combinatorial and neuro-symbolic problems
As a logic programming formalism (symbolic AI), associated with powerful computing tools (solvers), ASP has reached a degree of maturity relevant to industrialists.
The objective of our work is:
It has been established that emotions are at the centre of our decision-making, our behaviour and certain pathologies. It is therefore important to identify them, and even to try to control them.
Emotions are expressed through different modalities, for example, facial expression, voice intonation, gestures, etc. None of these modalities taken separately is dominant; on the contrary, it seems that they must be merged, corroborated, prioritised...
The objective of this topic is to propose artificial intelligence-based approaches for the detection and automatic recognition of emotions, more particularly for facial, vocal and textual modalities.
The interest of this line of research is to make data speak, as it is becoming increasingly important in all fields.
The objectives of this area are:
A lot of information is stored in text format (Word, PDF, etc.). The problem with this data is that it is unstructured and therefore not usable.
The objective of this axis is to be able to extract, structure and exploit unstructured or semi-structured textual data such as prescriptions and medical reports, CVs sent to the HR department and, of course, all textual data from forums and social networks.
As a common platform for solving logical, combinatorial and neuro-symbolic problems
As a logic programming formalism (symbolic AI), associated with powerful computing tools (solvers), ASP has reached a degree of maturity relevant to industrialists.
The objective of our work is:
It has been established that emotions are at the centre of our decision-making, our behaviour and certain pathologies. It is therefore important to identify them, and even to try to control them.
Emotions are expressed through different modalities, for example, facial expression, voice intonation, gestures, etc. None of these modalities taken separately is dominant; on the contrary, it seems that they must be merged, corroborated, prioritised…
The objective of this topic is to propose artificial intelligence-based approaches for the detection and automatic recognition of emotions, more particularly for facial, vocal and textual modalities.