{"title":"Artificial Intelligence-Powered, Interactive, Stretchable, Immersive Displays and Wearables","authors":"Peyman Servati;Arvin Tashakori;Wenwen Zhang;Yan Wang;Zenan Jiang;Amir Servati;Harishkumar Narayana;Saeid Soltanian;Neha Suvindran;Hyejeong Choi;Menglei Hu;Qi Wang;Yi-Chieh Wang;Morteza Lotfi;Gongbo Yang","doi":"10.1109/OJID.2024.3460744","DOIUrl":null,"url":null,"abstract":"Advances in materials and electronics technologies are enabling a myriad of potential extended reality experiences that were not possible before. This includes applications in gaming, metaverse, health, robotics, and defense. For these technologies to be adopted significant improvement in technical capabilities of the electronic devices and systems are necessary for creating experiences that match human visual, sensing, movement, and cognition capabilities. This paper presents some of the critical advances at the forefront of the technology for development of highly realistic immersive experiences for different applications. We present display technologies that help in creating novel high quality, high resolution, high contrast ratio with fast response time needed for implementation of advanced near eye displays. We report some of the works in stretchable and flexible displays that can be adopted in these near eye displays as well as those interfaced with clothing and body tissue for collection health data and delivering therapeutic applications. We discuss computer vision algorithms and wearable technologies powered by machine learning to enable accurate capturing of complex hand and body movements to enable rich interactive experiences. Applications of these technologies for robotics and remote health is discussed. We report some of the machine learning, deep learning and federated learning technologies needed for creating highly personalized and accurate edge user content and enhancing artificial intelligence integration. We also discuss technologies used for harvesting and capturing of electrical energy for powering these immersive experiences. For creating highly immersive experiences for wide range of users and applications seamless integration of these technologies are needed.","PeriodicalId":100634,"journal":{"name":"IEEE Open Journal on Immersive Displays","volume":"1 ","pages":"173-186"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680569","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal on Immersive Displays","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10680569/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Advances in materials and electronics technologies are enabling a myriad of potential extended reality experiences that were not possible before. This includes applications in gaming, metaverse, health, robotics, and defense. For these technologies to be adopted significant improvement in technical capabilities of the electronic devices and systems are necessary for creating experiences that match human visual, sensing, movement, and cognition capabilities. This paper presents some of the critical advances at the forefront of the technology for development of highly realistic immersive experiences for different applications. We present display technologies that help in creating novel high quality, high resolution, high contrast ratio with fast response time needed for implementation of advanced near eye displays. We report some of the works in stretchable and flexible displays that can be adopted in these near eye displays as well as those interfaced with clothing and body tissue for collection health data and delivering therapeutic applications. We discuss computer vision algorithms and wearable technologies powered by machine learning to enable accurate capturing of complex hand and body movements to enable rich interactive experiences. Applications of these technologies for robotics and remote health is discussed. We report some of the machine learning, deep learning and federated learning technologies needed for creating highly personalized and accurate edge user content and enhancing artificial intelligence integration. We also discuss technologies used for harvesting and capturing of electrical energy for powering these immersive experiences. For creating highly immersive experiences for wide range of users and applications seamless integration of these technologies are needed.