Deep Learning-Assisted Triboelectric Smart Mats for Personnel Comprehensive Monitoring toward Maritime Safety

Abstract

Monitoring the crew of a ship can be performed by combining sensors and artificial intelligence methods to process sensing data. In this study, we developed a deep learning (DL)-assisted minimalist structure triboelectric smart mat system for obtaining abundant crew information without the privacy concerns of taking video. The smart mat system is fabricated using a conductive sponge with different filling rates and a fluorinated ethylene propylene membrane. The proposed dual-channel measurement method improves the stability of the generated signal. Comprehensive crew and cargo monitoring, including personnel and status identification, as well as positioning and counting functions are realized by the DL-assisted triboelectric smart mat system according to the analysis of instant sensory data. Real-time monitoring of crews through fixed and mobile devices improves the ability and efficiency of handling emergencies. The smart mat system provides privacy concerns and an effective way to build ship Internet of Things and ensure personnel safety.

Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics

“…Machine learning is a powerful analytical tool that is widely used in the Internet of things (IoT), 133–142 wearable sensors, 143–158 human–machine interaction (HMI), 159–169 and smart sensing. 154,155,170–184 According to the function of the algorithm and the problem it solves, machine learning can be divided into classification, regression, clustering, and dimensionality reduction, as shown in Fig.…”

“…Machine learning is a powerful analytical tool that is widely used in the Internet of things (IoT), [133][134][135][136][137][138][139][140][141][142] wearable sensors, [143][144][145][146][147][148][149][150][151][152][153][154][155][156][157][158] human-machine interaction (HMI), [159][160][161][162][163][164][165][166][167][168][169] and smart sensing. 154,155,[170][171][172][173][174][175][176][177][178][179][180]…”

Self‐Powered Position Monitoring System Based on Insole‐Type Wearable Triboelectric Nanogenerator and Bluetooth Beacon

“…With the advancement of internet of things and wireless sensing technology, the need for personnel track and position monitoring are greatly increasing. [1][2][3] Commercial Global positioning system (GPS) and Global system for mobile communications DOI: 10.1002/admt.202300487 (GSM) position methods cannot meet the demand for low power consumption and three-dimensional indoor location monitoring. Therefore, it cannot meet the needs of indoor positioning environments in some specific scenarios, such as office buildings and exhibition halls.…”

Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth

“…[75][76][77][78] Machine learning (ML) integrated TENGs are also successfully demonstrated for individual recognition, gesture recognition, object recognition, etc., matching the current development of green earth with high intelligence. [63,64,[79][80][81][82][83] Overall, in the built-up of IoT integrated green earth, TENG technology can effectively contribute to either sensing modules or power supply modules in every aspect of the green earth.…”