Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios

Abstract

Nowadays, the need for protective devices at man-machine interfaces is increasing in the fields of traffic, sports, construction, and military, etc. Dynamic pressure sensing technology with wide measuring range, high sensitivity, softness, and fast response is crucial for evaluation and optimization of the personal protective equipment under impact scenarios. However, current sensors hardly possess all the aforesaid required characteristics. For the first time, this article reports the evaluation and application of an innovative soft pressure sensor with modulus of 2 MPa, maximum pressure of 8 MPa, and over 500-Hz frequency. A theoretical model, taking strain rate into consideration, is established to characterize the dynamic sensing behavior. A sensing network in the form of smart clothing is developed and used in a sled crash test, which is a standard approach to evaluate the safety of automobiles in collisions. The pressure distribution over the dummy's surface during the crash is acquired in real-time, and compared with numerical simulations. This study is important to the study of occupant injury and crashworthiness design for vehicles, and it will benefit the automotive industry. With the built-in sensing network, the smart clothing has promising applications in the pressure mapping of 3D flexible man-machine interface under impact scenarios.

Porous Conductive Textiles for Wearable Electronics

“…Strain and pressure sensors have the ability to detect a range of human body movements, including large motions such as joint bending, as well as vital motions such as pulse, speech vibrations, facial expressions, and heartbeats, among others. As a result, by attaching strain and/or pressure sensors around human joints, it becomes feasible to monitor the joint kinematics, mechanical loadings, and pressure distribution, , allowing for the detection of motion abnormalities such as those found in arthritis and Parkinson’s disease. Similarly, when mounted on socks or insoles, the sensors can monitor and analyze plantar pressure and gait, , facilitating the detection of motion abnormalities for disease prediagnosis, prevention, or rehabilitation purposes.…”