Chen Min, Liu Jia, Li Pan, Gharavi Hamid, Hao Yixue, Ouyang Jingyu, Hu Jiayu, Hu Long, Hou Chong, Humar Iztok, Wei Lei, Yang Guang-Zhong, Tao Guangming
Wuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899-8920, USA.
Innovation (Camb). 2022 Oct 14;3(6):100340. doi: 10.1016/j.xinn.2022.100340. eCollection 2022 Nov 8.
With the advent of the Internet of Everything, people can easily interact with their environments immersively. The idea of pervasive computing is becoming a reality, but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction, it is difficult to ensure comfort, esthetics, and privacy in smart spaces. Motivated by the rapid developments in intelligent fabric technology in the post-Moore era, we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces. We discuss the core notion and benefits of fabric computing, including its implementation, challenges, and future research opportunities.
随着万物互联时代的到来,人们能够轻松地与周围环境进行沉浸式互动。普适计算的理念正在成为现实,但由于携带基于硅的实体设备存在不便,且缺乏用于人机交互的细粒度传感能力,因此在智能空间中难以确保舒适性、美观性和隐私性。受后摩尔时代智能织物技术快速发展的推动,我们提出了一种新颖的计算方法,该方法引发了由织物计算驱动的范式转变,并倡导生活空间中非芯片传感的新概念。我们讨论了织物计算的核心概念和优势,包括其实现方式、挑战以及未来的研究机会。