Shen Sophia, Xiao Xiao, Yin Junyi, Xiao Xiao, Chen Jun
Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
Small Methods. 2022 Oct;6(10):e2200830. doi: 10.1002/smtd.202200830. Epub 2022 Sep 6.
The hands are used in all facets of daily life, from simple tasks such as grasping and holding to complex tasks such as communication and using technology. Finding a way to not only monitor hand movements and gestures but also to integrate that data with technology is thus a worthwhile task. Gesture recognition is particularly important for those who rely on sign language to communicate, but the limitations of current vision-based and sensor-based methods, including lack of portability, bulkiness, low sensitivity, highly expensive, and need for external power sources, among many others, make them impractical for daily use. To resolve these issues, smart gloves can be created using a triboelectric nanogenerator (TENG), a self-powered technology that functions based on the triboelectric effect and electrostatic induction and is also cheap to manufacture, small in size, lightweight, and highly flexible in terms of materials and design. In this review, an overview of the existing self-powered smart gloves will be provided based on TENGs, both for gesture recognition and human-machine interface, concluding with a discussion on the future outlook of these devices.
手在日常生活的各个方面都有应用，从诸如抓握和握持等简单任务到诸如交流和使用技术等复杂任务。因此，找到一种不仅能监测手部动作和手势，还能将这些数据与技术相结合的方法是一项有价值的任务。手势识别对于那些依靠手语进行交流的人来说尤为重要，但是当前基于视觉和基于传感器的方法存在诸多局限性，包括缺乏便携性、体积庞大、灵敏度低、成本高昂以及需要外部电源等，这使得它们在日常使用中不切实际。为了解决这些问题，可以使用摩擦纳米发电机（TENG）来制造智能手套，摩擦纳米发电机是一种基于摩擦电效应和静电感应的自供电技术，制造成本低、尺寸小、重量轻，并且在材料和设计方面具有高度灵活性。在这篇综述中，将基于摩擦纳米发电机对手部动作和人机界面的现有自供电智能手套进行概述，并对这些设备的未来前景进行讨论。
