Operator training framework for hybrid environments: An Augmented Reality module using machine learning object recognition

Apostolopoulos, George; Andronas, Dionisis; Fourtakas, Nikos; Makris, Sotiris

doi:10.1016/j.procir.2022.02.162

Cited by 11 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Immersive experiences may help companies respond to the industry's requirement for more engaging training methodologies. Overall, the data support the idea that a growing number of immersive technologies are being used for operator training [48,49]. It is projected that the number of immersive training apps will continue to rise in the coming years.…”

Section: Personnel Trainingsupporting

confidence: 56%

“…Some researchers try to find solutions to address this new challenge and analyse the advantages and possibilities of new training methodologies. Another study introduced an approach for familiarising both low-and high-experience workers with Industry 4.0 hybrid workstations and assembly procedures using an intuitive training methodology [48]. Furthermore, they propose that the training should be performed on site, at the physical workstation during production, to accelerate learning.…”

Section: Personnel Trainingmentioning

confidence: 99%

“…Another contemporary technology, AR, has been used for personnel training. AR overlays virtual information with the real world and shows it simultaneously as a real-time interaction [48,52]. In most literature applications, AR has been used to familiarise operators with assembly operations and digital technologies.…”

Section: Personnel Trainingmentioning

confidence: 99%

See 2 more Smart Citations

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0

Fraile,

Psarommatis,

Alarcón

et al. 2023

Computers

View full text Add to dashboard Cite

Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0.

show abstract

Section: Personnel Trainingsupporting

confidence: 56%

Section: Personnel Trainingmentioning

confidence: 99%

See 1 more Smart Citation

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0

Fraile,

Psarommatis,

Alarcón

et al. 2023

Computers

View full text Add to dashboard Cite

show abstract

“…The ability of these models to learn and adapt to different movement patterns has opened up new possibilities for personalized exercise monitoring. However, the reliance on large, diverse datasets for training these models presents its own set of challenges, particularly in ensuring the representation of a broad range of movement types and exercise forms [21].…”

Section: Deep Learning and Physical Activity Recognitionmentioning

confidence: 99%

Development of Deep Learning Enabled Augmented Reality Framework for Monitoring the Physical Quality Training of Future Trainers-Teachers

Tileubay,

Yerekeshova,

Baiganova

et al. 2024

IJACSA

View full text Add to dashboard Cite

The fusion of augmented reality (AR) and deep learning technologies has ushered in a transformative era in the realm of real-time physical activity monitoring. This research paper introduces a system that harnesses the capabilities of PoseNet-based skeletal keypoint extraction and deep neural networks to achieve unparalleled accuracy and real-time functionality in the identification and classification of a wide spectrum of physical activities. With an impressive accuracy rate of 98% within 100 training epochs, the system proves its mettle in precise activity recognition, making it invaluable in domains such as fitness training, physical education, sports coaching, and home-based fitness. The system's real-time feedback mechanism, bolstered by AR technology, not only enhances user engagement but also motivates users to optimize their exercise routines. This paper not only elucidates the system's architecture and functionality but also highlights its potential applications across diverse fields. Furthermore, it delineates the trajectory of future research avenues, including the development of advanced feedback mechanisms, exploration of multi-modal sensing techniques, personalization for users, assessment of long-term impacts, and endeavors to ensure accessibility, inclusivity, and data privacy. In essence, this research sets the stage for the evolution of real-time physical activity monitoring, offering a compelling framework to improve fitness, physical education, and athletic training while promoting healthier lifestyles and the overall well-being of individuals worldwide.

show abstract

“…Dimitropoulos et al 31 proposed a flexible framework that provided the necessary tools and functionalities allowing non expert users to create 1:1 replicas of industrial shop floors in a non-time-consuming way. Apostolopoulos et al 32 presented a novel operator training framework based on Augmented Reality (AR) technology. Michalos et al 33 proposed a method to analyze and enhance industrial workplaces using immersive virtual reality.…”

Section: Introductionmentioning

confidence: 99%

Design and application of virtual simulation teaching platform for intelligent manufacturing

Zheng,

Yang,

Lou

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Aiming at the practical teaching of intelligent manufacturing majors faced with lack of equipment, tense teachers and other problems such as high equipment investment, high material loss, high teaching risk, difficult to implement internship, difficult to observe production, difficult to reproduce the results, and so on, we take the electrical automation technology, mechatronics technology and industrial robotics technology majors of intelligent manufacturing majors as an example, and design and establish a virtual simulation teaching platform for intelligent manufacturing majors by using the cloud computing platform, edge computing technology, and terminal equipment synergy. The platform includes six major virtual simulation modules, including virtual simulation of electrician electronics and PLC control, virtual and real combination of typical production lines of intelligent manufacturing, dual-axis collaborative robotics workstation, digital twin simulation, virtual disassembly of industrial robots, virtual simulation of magnetic yoke axis flexible production line. The platform covers the virtual simulation teaching content of basic principle experiments, advanced application experiments, and advanced integration experiments in intelligent manufacturing majors. In order to test the effectiveness of this virtual simulation platform for practical teaching in engineering, this paper organizes a teaching practice activity involving 246 students from two parallel classes of three different majors. Through a one-year teaching application, we analyzed the data on the grades of 7 core courses involved in three majors in one academic year, the proportion of participation in competitions and innovative activities, the number of awards and certificates of professional qualifications, and the subjective questionnaires of the testers. The analysis shows that the learners who adopt the virtual simulation teaching platform proposed in this paper for practical teaching are better than the learners under the traditional teaching method in terms of academic performance, proportion of participation in competitions and innovative activities, and proportion of awards and certificates by more than 13%, 37%, 36%, 27% and 22%, respectively. Therefore, the virtual simulation teaching platform of intelligent manufacturing established in this paper has obvious superiority in solving the problem of "three highs and three difficulties" existing in the practical teaching of engineering, and according to the questionnaire feedback from the testers, the platform can effectively alleviate the shortage of practical training equipment, stimulate the interest in learning, and help to broaden and improve the knowledge system of the learners.

show abstract

Operator training framework for hybrid environments: An Augmented Reality module using machine learning object recognition

Cited by 11 publications

References 19 publications

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0

Development of Deep Learning Enabled Augmented Reality Framework for Monitoring the Physical Quality Training of Future Trainers-Teachers

Design and application of virtual simulation teaching platform for intelligent manufacturing

Contact Info

Product

Resources

About