Skin-Inspired Tactile Sensor on Cellulose Fiber Substrates with Interfacial Microstructure for Health Monitoring and Guitar Posture Feedback.
Rajat Subhra KarmakarChia-Pei ChuChia-Lin LiChun-Hway HsuehYing-Chih LiaoYen-Wen LuPublished in: Biosensors (2023)
Skin-inspired flexible tactile sensors, with interfacial microstructure, are developed on cellulose fiber substrates for subtle pressure applications. Our device is made of two cellulose fiber substrates with conductive microscale structures, which emulate the randomly distributed spinosum in between the dermis and epidermis layers of the human skin. The microstructures not only permit a higher stress concentration at the tips but also generate electrical contact points and change contact resistance between the top and bottom substrates when the pressure is applied. Meanwhile, cellulose fibers possessing viscoelastic and biocompatible properties are utilized as substrates to mimic the dermis and epidermis layers of the skin. The electrical contact resistances (ECR) are then measured to quantify the tactile information. The microstructures and the substrate properties are studied to enhance the sensors' sensitivity. A very high sensitivity (14.4 kPa -1 ) and fast recovery time (approx. 2.5 ms) are achieved in the subtle pressure range (approx. 0-0.05 kPa). The device can detect subtle pressures from the human body due to breathing patterns and voice activity showing its potential for healthcare. Further, the guitar strumming and chord progression of the players with different skill levels are assessed to monitor the muscle strain during guitar playing, showing its potential for posture feedback in playing guitar or another musical instrument.
Keyphrases
- ionic liquid
- healthcare
- soft tissue
- white matter
- wound healing
- endothelial cells
- aqueous solution
- health information
- molecular dynamics simulations
- multiple sclerosis
- skeletal muscle
- mental health
- high resolution
- mass spectrometry
- ms ms
- low cost
- risk assessment
- gold nanoparticles
- stress induced
- social media
- pluripotent stem cells
- neural network
- human health
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- amino acid