人工智能驱动的交互式可伸缩沉浸式显示器和可穿戴设备

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
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引用次数: 0

摘要

材料和电子技术的进步带来了无数潜在的扩展现实体验,而这在以前是不可能实现的。这包括游戏、元宇宙、健康、机器人和国防领域的应用。要采用这些技术,就必须大幅提高电子设备和系统的技术能力,以创造与人类视觉、传感、运动和认知能力相匹配的体验。本文介绍了在为不同应用开发高度逼真的身临其境体验方面取得的一些关键前沿技术进展。我们介绍了有助于创造新颖的高质量、高分辨率、高对比度和快速响应时间的显示技术,这些都是实现先进的近眼显示所必需的。我们报告了在可拉伸和柔性显示器方面的一些工作,这些显示器可用于这些近眼显示器以及与服装和身体组织连接的显示器,以收集健康数据和提供治疗应用。我们讨论了计算机视觉算法和以机器学习为动力的可穿戴技术,这些算法和技术能够准确捕捉复杂的手部和身体动作,从而实现丰富的互动体验。我们还讨论了这些技术在机器人和远程医疗方面的应用。我们报告了创建高度个性化和准确的边缘用户内容以及加强人工智能集成所需的一些机器学习、深度学习和联合学习技术。我们还讨论了用于收集和捕获电能的技术,以便为这些身临其境的体验提供动力。要为广泛的用户和应用创造高度身临其境的体验,就需要无缝集成这些技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence-Powered, Interactive, Stretchable, Immersive Displays and Wearables
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.
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