Nothing Special   »   [go: up one dir, main page]

Yang et al., 2020 - Google Patents

Wireless Ti3C2T x MXene strain sensor with ultrahigh sensitivity and designated working windows for soft exoskeletons

Yang et al., 2020

Document ID
6652392484723854173
Author
Yang H
Xiao X
Li Z
Li K
Cheng N
Li S
Low J
Jing L
Fu X
Achavananthadith S
Low F
Wang Q
Yeh P
Ren H
Ho J
Yeow C
Chen P
Publication year
Publication venue
ACS nano

External Links

Snippet

Emerging soft exoskeletons pose urgent needs for high-performance strain sensors with tunable linear working windows to achieve a high-precision control loop. Still, the state-of- the-art strain sensors require further advances to simultaneously satisfy multiple sensing …
Continue reading at pubs.acs.org (other versions)

Similar Documents

Publication Publication Date Title
Yang et al. Wireless Ti3C2T x MXene strain sensor with ultrahigh sensitivity and designated working windows for soft exoskeletons
Zhang et al. Wearable pressure sensor array with layer-by-layer assembled MXene nanosheets/Ag nanoflowers for motion monitoring and human–machine interfaces
Peng et al. Conductive polymer nanocomposites for stretchable electronics: material selection, design, and applications
Dong et al. Highly sensitive and stretchable MXene/CNTs/TPU composite strain sensor with bilayer conductive structure for human motion detection
Lai et al. Emerging MXene‐Based Flexible Tactile Sensors for Health Monitoring and Haptic Perception
Li et al. Recent advances of carbon-based flexible strain sensors in physiological signal monitoring
Li et al. Strain sensor with both a wide sensing range and high sensitivity based on braided graphene belts
Guan et al. Flexible piezoresistive sensors with wide-range pressure measurements based on a graded nest-like architecture
Ma et al. Highly sensitive and large-range strain sensor with a self-compensated two-order structure for human motion detection
Lu et al. Design of helically double-leveled gaps for stretchable fiber strain sensor with ultralow detection limit, broad sensing range, and high repeatability
Sun et al. A highly sensitive and stretchable yarn strain sensor for human motion tracking utilizing a wrinkle-assisted crack structure
Chen et al. Touchpoint-tailored ultrasensitive piezoresistive pressure sensors with a broad dynamic response range and low detection limit
Yang et al. Hierarchically microstructure-bioinspired flexible piezoresistive bioelectronics
Yang et al. Graphene textile strain sensor with negative resistance variation for human motion detection
Zhao et al. Strain-discriminable pressure/proximity sensing of transparent stretchable electronic skin based on PEDOT: PSS/SWCNT electrodes
Choi et al. Synergetic effect of porous elastomer and percolation of carbon nanotube filler toward high performance capacitive pressure sensors
Li et al. Wearable, washable, and highly sensitive piezoresistive pressure sensor based on a 3D sponge network for real-time monitoring human body activities
Mousavi et al. Direct 3D printing of highly anisotropic, flexible, constriction-resistive sensors for multidirectional proprioception in soft robots
Qiu et al. Rapid-response, low detection limit, and high-sensitivity capacitive flexible tactile sensor based on three-dimensional porous dielectric layer for wearable electronic skin
Zhao et al. 3D dielectric layer enabled highly sensitive capacitive pressure sensors for wearable electronics
Kim et al. Wearable and transparent capacitive strain sensor with high sensitivity based on patterned Ag nanowire networks
Nur et al. A highly sensitive capacitive-type strain sensor using wrinkled ultrathin gold films
Kong et al. Skin-inspired hair–epidermis–dermis hierarchical structures for electronic skin sensors with high sensitivity over a wide linear range
Jiang et al. Highly compressible and sensitive pressure sensor under large strain based on 3D porous reduced graphene oxide fiber fabrics in wide compression strains
Hwang et al. Transparent stretchable self-powered patchable sensor platform with ultrasensitive recognition of human activities