Self-training using extended reality wearable technology

About the project

The training process of a manufacturing operator is usually long and complex, involving time, resources, and expert trainers. SELFEX offers a new approach that aims to improve training processes in manufacturing industries. 

By using wearable finger tracking gloves, trackers and XR devices, SELFEX allows a self-training procedure that provides a quantifiable degree of operator readiness to execute the work in line. This new approach can be implemented in many industrial fields, specially when dealing with task requiring high manual dexterity. 

Purpose of the project

Boost the solution for self-training using wearable finger-tracking gloves, trackers and AR, regarding: 

• An improved estimation of similarity of executions, using AI algorithms. 
• provide new functionalities using a VR device to improve the usability, and in general,
• productizing the solution. 
• validating the solution in two manufacturing environments. 
• develop and run the business exploitation of the solution. 

Societal impact

SELFEX aims to reduce costs related with training processes and can contribute to retain and promote knowledge within the factory, thus ensuring its transfer and generational succession. 

Main results & insights

The main result is the development of the platform with a series of functionalities that allow a TRL 9 regarding software-based aspects, such as HMI, data management, documentation, among others. One important step is the usage of a cloud instance of the platform, as a complementary option to the local one. 

Quote from the Activity Leader