Human-interactive drone system remotely controlled by printed strain/pressure sensors consisting of carbon-based nanocomposites. (29th September 2019)

• Record Type: Journal Article
• Authors: Kang, Byeong-Cheol; Ha, Tae-Jun
• Is Part Of: Composites science and technology. Volume 182(2019)
• Publication Date: 2019-09-29
• Subjects: Carbon nanotube -- Structural integration -- Human-interactive drone remote controller -- Nanocomposites -- Waterproof -- All-solution-process; Composite materials -- Periodicals; Composite materials; Fibrous composites; Periodicals; 620.118
• DOI: 10.1016/j.compscitech.2019.107784
• Languages: English
• ISSNs: 0266-3538

Abstract

Abstract: We demonstrate human-interactive drone remote control system consisting of high-performance printed strain/pressure sensors with carbon-based nanocomposites, fabricated by all-solution-process at 80 °C. The armband-type drone remote control system was designed by a main control operation module, a sensing module and a signal processing module at an overall size of 12 cm × 7 cm x 1.5 cm (width x length x height). Rapid and accurate sensing properties of the sensing module were realized by the structural integration of nanocomposites on flexible/stretchable substrates attached to the human body. Furthermore, simultaneous visualization of processed data on the user's smartphone with an Android application by detecting the movements of human-body in real-time can open up new routes for the upcoming internet of things platform based on nanocomposition in industries. Notably, it is the feasible demonstration of a system-level drone remote controller operated by signal processing in real-time from highly sensitive printed strain/pressure sensors with carbon-based nanocomposites, exhibiting important functionality of waterproof and electric-isolation for human-interactive electronics. Graphical abstract: Image 1 Highlights: We investigate carbon-based nanocomposites for human-interactive drone control system consisting of the printed sensors. Outstanding sensing performance was realized by structural integration of CNT with metal nanoparticles. We also demonstrate simultaneous visualization on the user's smartphone with designed algorithm for IoT platform.