- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Matrix-Independent Highly Conductive Composites for Electrodes and Interconnects in Stretchable Electronics
摘要： Electrically conductive composites (ECCs) hold great promise in stretchable electronics due to their printability, facile preparation, elasticity, and possibility for large area fabrication. A high conductivity at steady state and during mechanical deformation is a critical property for ECCs, and extensive efforts have been made to improve the conductivity. However, most of those approaches are exclusively functional to a specific polymer matrix, restricting their capability to meet other requirements such as the mechanical, adhesive and thermomechanical properties. Here we report a generic approach to prepare ECCs with conductivity close to that of bulk metals and maintain their conductivity during stretching. This approach iodizes the surfactants on the commercial silver flakes, and subsequent photo exposure converts these silver iodide nanoparticles to silver nanoparticles. The ECCs based on silver nanoparticles-covered silver flakes exhibit high conductivity because of the removal of insulating surfactants as well as the enhanced contact between flakes. The treatment of silver flakes is independent of the polymer matrix and provides the flexibility in matrix selection. In the development of stretchable interconnects, ECCs can be prepared with the same polymer as the substrate to ensure strong adhesion between interconnects and the substrate. For the fabrication of on-skin electrodes, a polymer matrix of low modulus can be selected to enhance conformal contact with the skin for reduced impedance.
关键词： conductive composites,human-machine interface,on-skin electronics,electrophysiological monitoring,iodization,silver nanoparticles,silver flakes
更新于2025-11-14 17:28:48
-
[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Human-Machine Interface for Remote Training of Robot Tasks.
摘要： Regardless of their industrial or research application, the streamlining of robot operations is limited by the proximity of experienced users to the actual hardware. Be it massive open online robotics courses, crowd-sourcing of robot task training, or remote research on massive robot farms for machine learning, the need to create an apt remote Human-Machine Interface is quite prevalent. The paper at hand proposes a novel solution to the programming/training of remote robots employing an intuitive and accurate user-interface which offers all the benefits of working with real robots without imposing delays and inefficiency. The system includes: a vision-based 3D hand detection and gesture recognition subsystem, a simulated digital twin of a robot as visual feedback, and the “remote” robot learning/executing trajectories using dynamic motion primitives. Our results indicate that the system is a promising solution to the problem of remote training of robot tasks.
关键词： Human-Machine Interface,Robot Tasks,Hand Detection,Remote Robots,Remote Training,Dynamic Motion Primitives
更新于2025-09-23 15:22:29
-
Flexible Liquida??Filled Fiber Adapter Enabled Wearable Optical Sensors
摘要： Wearable optical sensors are attracting intensive research interests owing to their advantage of high sensitivity, fast response, and immunity to electromagnetic interferences. However, tunable optical properties and reconfigurable sensor structures remain great challenges for the wearable optical sensors. Herein, flexible liquid-filled fiber adapters (FLFFAs), which are sensitive to mechanical stimuli, are demonstrated. The novel FLFFA consists of a soft liquid-filled tubing and two silica optical fibers. The liquid core bestows the FLFFA both tunability and reconfigurability in sensing performance. Deformation of the tubing through bending or pressing results in wavelength-insensitive changes in light transmission. By measuring the output intensity, the FLFFA based sensors achieve high angle resolution (0.18°) and low detection limit (0.7 mN) for bending and pressure sensing, respectively. The superior sensing properties together with mechanical flexibility and robustness enable real-time monitoring of finger joint motion, respiration, and wrist pulse. Benefiting from an LED charge-coupled device (CCD) signal recording system, a 4 × 3 keyboard is realized by simultaneously measuring the output signals of 12 FLFFAs. The FLFFA provides a promising method to detect subtle physiological signals and may find applications in healthcare devices, artificial skins, and sensor networks.
关键词： wearable optical sensors,human–machine interface devices,physiological signal monitoring,liquid-filled fiber adapters
更新于2025-09-23 15:19:57