Publication | Closed Access
Highly Stretchable, Hysteresis-Free Ionic Liquid-Based Strain Sensor for Precise Human Motion Monitoring
410
Citations
44
References
2016
Year
EngineeringWavy StructureMechanical EngineeringWearable TechnologyChemical ActuatorBiomedical EngineeringSoft MatterSensor TechnologyFlexible SensorKinesiologySoft RoboticsHuman MotionHealth SciencesMaterials ScienceEthylene Glycol/sodium ChlorideCost-effective Ionic LiquidWearable ElectronicsFlexible ElectronicsBioelectronicsHighly StretchableSensor DesignWearable Sensor
The sensor was fabricated from a low‑cost ethylene glycol/sodium chloride ionic liquid and a wavy fluidic channel that reduces hysteresis through elastomer viscoelastic relaxation. Simulations and experiments confirm that the wavy ILBW sensor exhibits negligible hysteresis, low overshoot, and high durability, making it suitable for precise strain monitoring in applications such as human motion tracking, healthcare, VR, and smart textiles.
A highly stretchable, low-cost strain sensor was successfully prepared using an extremely cost-effective ionic liquid of ethylene glycol/sodium chloride. The hysteresis performance of the ionic-liquid-based sensor was able to be improved by introducing a wavy-shaped fluidic channel diminishing the hysteresis by the viscoelastic relaxation of elastomers. From the simulations on visco-hyperelastic behavior of the elastomeric channel, we demonstrated that the wavy structure can offer lower energy dissipation compared to a flat structure under a given deformation. The resistance response of the ionic-liquid-based wavy (ILBW) sensor was fairly deterministic with no hysteresis, and it was well-matched to the theoretically estimated curves. The ILBW sensors exhibited a low degree of hysteresis (0.15% at 250%), low overshoot (1.7% at 150% strain), and outstanding durability (3000 cycles at 300% strain). The ILBW sensor has excellent potential for use in precise and quantitative strain detections in various areas, such as human motion monitoring, healthcare, virtual reality, and smart clothes.
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