A knitted glove sensing system with compression strain for finger movements

Abstract

Development of a fabric structure strain sensor has received considerable attention due to its broad application in healthcare monitoring and human-machine interfaces. In the knitted textile structure, it is critical to understand the surface structural deformation from a different body motion, inducing the electrical signal characteristics. Here, we report the electromechanical properties of the knitted glove sensing system focusing on the compressive strain behavior. Compared with the electrical response of the tensile strain, the compressive strain shows much higher sensitivity, stability, and linearity via different finger motions. Additionally, the sensor exhibits constant electrical properties after repeated cyclic tests and washing processes. The proposed knitted glove sensing system can be readily extended to a scalable and cost-effective production due to the use of a commercialized manufacturing system.

Interactive hand pose estimation using a stretch-sensing soft glove

“…Starting with [Lorussi et al 2005], many different strain sensor gloves, glove parts, or novel sensors tailored for hand capture have been proposed. Most of the presented strain sensor gloves are resistive [O'Connor et al 2017;Michaud et al 2016;Hammond et al 2014;Lorussi et al 2005;Park et al 2017;Ryu et al 2018;Chossat et al 2015], either using a piezoresistive material, an elastic conductive yarn or conductive liquid channels. Liquid sensors are superior in terms of hysteresis, but their fabrication is often highly involved.…”

“…At most 15 strain sensors are used for a full glove by [Park et al 2017], including abduction sensors. This is still significantly less than the amount of DoFs of a full hand; therefore many of the suggested designs are only demonstrated in the context of gesture recognition [Ryu et al 2018;O'Connor et al 2017;Hammond et al 2014;Lorussi et al 2005] and are not suitable for continuous full hand pose estimation. Some works show pose capture of a part of the hand [Michaud et al 2016;Park et al 2017].…”

Human Motion Recognition of Knitted Flexible Sensor in Walking Cycle

“…A big difference is observed between the upper and lower steps in S3 and S10, whereas the change of resistance is similar in S5 and S9. Although fabric sensors have shown excellent performance in human motion recognition and other fields, most sensors are single or integrated as additive parts in the test [5,40]. In this work, conductive yarns were directly positioned and knitted into elastic leggings to test different area sensors and determine the best sensor area.…”

“…Flexible conductive materials can potentially be applied in human motion sensors, health monitoring for medical monitoring systems such as respiratory rate, heart rate and body posture to human-machine interface and wearable integrated devices that have attracted widespread attention [1][2][3][4][5][6][7][8][9][10]. Most common flexible sensors are made of conductive metal nanoparticles, metal films, carbon nanotubes and graphene [11,12].…”

“…In the design of a strain sensor corresponding to human movement, the following key factors must be considered-large strain range, fast recovery deformation and high sensitivity [15][16][17]. Some special sensors (such as electromyographic signal) can be used to sense the activity of muscle and have great potential for human movement detection [5,18,19]. However, most of these systems require additional hardware that increases the costs, reduces user comfort and are not easily integrated into other wearable devices [20].…”