Machine-Learning-Assisted Recognition on Bioinspired Soft Sensor Arrays

Abstract

Soft interfaces with self-sensing capabilities play an essential role in environment awareness and reaction. The growing overlap between materials and sensory systems has created a myriad of challenges for sensor integration, including the design of a multimodal sensory, simplified system design capable of high spatiotemporal sensing resolution and efficient processing methods. Here we report a bioinspired soft sensor array (BOSSA) that integrates pressure and material sensing capabilities based on the triboelectric effect. Cascaded row + column electrodes embedded in low-modulus porous silicone rubber allow rich information to be captured from the environment and further analyzed by data-driven algorithms (multilayer perceptrons) to extract higher level features. BOSSA demonstrates the ability to identify 10 users (98.9%) and identify the placement or extraction of 10 objects (98.6%). Moreover, its scalable fabrication facilitates large-area sensor arrays with high spatiotemporal resolution and multimodal sensing abilities yet with a less complex system architecture. These features may be promising in the development of immersive sensing networks for intelligent monitoring and stimuli response in smart home/industry applications.

Recent Progress in Flexible Pressure Sensor Arrays

“…A cross-locating technology was utilized to realize rapid pressure mapping. A triboelectric sensor array with a simple structure based on cascaded row + column electrodes embedded in porous silicone rubber with a low modulus was investigated [ 96 ]. A textile coated with copper was shaped as rows + columns by using laser cutting and was embedded between porous silicone rubber and silicone substrate.…”

2D tribotronic transistors

“…With the rapid development of self-powered sensors and systems, the TENG itself has already been successfully applied in different types of sensors (e.g. flexible sensors [76], pressure sensors [77], biological sensors [78]) and has made significant contributions and achievements in the Human Machine Interface [79,80]. In Contrast, a 2D tribotronic transistor is a device that regulates the electrical transport capability of a semiconductor through an electric field, and intelligent sensors are one of the important directions of its functional application research.…”

Self‐Powered Smart Gloves Based on Triboelectric Nanogenerators

“…[117][118][119][120] In fact, many TENGs have been developed for a wide variety of purposes in the field of wearable biosensors such as cardiovascular monitoring, [121][122][123][124][125][126][127][128][129] respiration monitoring, [94,[130][131][132][133] breath gas analysis, [134][135][136][137][138] sleep monitoring, [130][131][132][133][134][135][136][137][138][139][140][141] wound healing, [142][143][144][145][146][147] acoustic monitoring, [148] and environment monitoring. [149][150][151] As a result of its excellent properties, TENG-based devices are a great alternative to resolve some of the limitations that come with currently existing gesture recognition devices and HMI systems (Figure 1).…”

“…[ 117–120 ] In fact, many TENGs have been developed for a wide variety of purposes in the field of wearable biosensors such as cardiovascular monitoring, [ 121–129 ] respiration monitoring, [ 94,130–133 ] breath gas analysis, [ 134–138 ] sleep monitoring, [ 130–141 ] wound healing, [ 142–147 ] acoustic monitoring, [ 148 ] and environment monitoring. [ 149–151 ]…”