Engineering Commons^™

Revolutionising Engineering Education: Creating Photorealistic Virtual Human Lecturers Using Artificial Intelligence And Computer Generated Images, Johannes H Moolman, Fiona Boyle, Joseph Walsh

Research Papers

The COVID-19 pandemic has disrupted traditional classroom learning, making virtual and remote education increasingly important. In this context, the use of photorealistic virtual humans, or avatars, powered by Artificial Intelligence (AI) can offer an immersive and engaging environment for delivering traditional classroom-based lectures. This paper proposes a process that combines AI and Computer-Generated Images (CGI) to create photorealistic virtual human lecturers for educational purposes.

The proposed process flow involves generating audio from text inputs, which is passed to a 3-Dimensional (3D) facial animation rig that matches lip, tongue, eye and facial movements to the audio using AI. This generates a …

Insider Action Research On Ai Needs Within The Eit Innoenergy Ecosystem, Inge De Waard, Albert Gonzalez, Anouk Gelan

Practice Papers

This practice paper describes an ongoing insider action research within the EIT InnoEnergy ecosystem. Its goal is to inspire teaching staff from the seven EIT InnoEnergy double degree Master of Science programmes to integrate Artificial Intelligence (AI) tools and knowledge into their courses based on joint learning. This insider action research runs from 2023 to the end of 2024. In late 2022, a problem statement of ‘AI tools for Education’ was identified by EIT InnoEnergy teachers as being crucial for their future learning and teaching processes. To align the needs of teaching staff with the complexity of emerging AI tools, …

Cook-Gen: Robust Generative Modeling Of Cooking Actions From Recipes, Revathy Venkataramanan, Kaushik Roy, Kanak Ray, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

As people become more aware of their food choices, food computation models have become increasingly popular in assisting people in maintaining healthy eating habits. For example, food recommendation systems analyze recipe instructions to assess nutritional contents and provide recipe recommendations. The recent and remarkable successes of generative AI methods, such as auto-regressive large language models, can lead to robust methods for a more comprehensive understanding of recipes for healthy food recommendations beyond surface-level nutrition content assessments. In this study, we explore the use of generative AI methods to extend current food computation models, primarily involving the analysis of nutrition and …

A-Eye Tech: Framework To Evaluate An Ai Construction Visibility Platform, Ahmed Hassan, Alan V. Hore, Mark Mulville

Conference Papers

The authors present the early stages of an Irish government-funded project, A-EYE. This disruptive technology seeks to create a construction visualisation platform that enables measurable productivity advantages through passive data capture and real-time delivery of mission-critical information in an accessible form. The authors outline how they will utilise data captured during construction site operations using camera and sensor equipment to monitor construction resources and processes. Moreover, the positive impact of easy access to visualised data on collaboration between construction stakeholders is discussed. Extensive user-experience research data will be captured after deploying the technology on live projects to create interactive dashboards …