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Self-Healable Soft Ionotronic Skin for Gesture Recognition
Yanghong Zhang;Mengwei Liu;Zhitao Zhou;Yujia Zhang;Tiger H. Tao
2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
We report a self-healable soft body-integrated ionotronic skin (i-skin) for gesture recognition. The device is made of naturally extracted silk fibroin proteins in the format of hydrogel and functionalized by adding calcium ions and glycerin for high stretchability and conductivity. The silk-Ca2+-glycerin network has high stretchability (up to 600%) and low Young's modulus (0.2-0.3MPa) for conform...Show More
Programmable Degradation of Transient Soluble Silk Based Optical Devices via Thermal Nanoimprinting
2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)
Year: 2020 | Conference Paper |
We report a facile patterning technique for precise controlling the degradation of silk protein based optical micro devices by rapid thermal nanoimprinting for transient applications. The solubility of silk films strongly depends on the crystalline conformation of the silk proteins, which can be well tuned by the spatial and temporal modification during thermal treatment. Compared with the previou...Show More
Here we report nanolithography of silk proteins using ultrafast terahertz (THz) pulse with a center wavelength of ~300 μm. This is achieved by metamaterial enhanced local high-field THz field. The THz electric field (E-field) is localized inside the capacitive gaps of the gold split ring resonator (SRR) and enhanced by more than two orders of magnitude [1]. By adjusting the strength of the inciden...Show More
A data processing method for chemical industry based on sensor data and process monitoring
Haodong Chen;Qing He;Guan Guan;Xian Wu;Tao Xu;Yanghong Zhang;Haibing Wang
2016 IEEE International Conference on Information and Automation (ICIA)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples a...Show More
An improved TLD target tracking algorithm
2016 IEEE International Conference on Information and Automation (ICIA)
Year: 2016 | Conference Paper |
Cited by: Papers (6)
Target tracking has always been a hot research topic in the field of computer vision. Tracking-Learning-Detection (TLD) is a new algorithm for online learning tracking proposed by Zdenek Kalal. In the algorithm, the computation consuming of detection module is relatively large. To solve this problem and improve the algorithm, we proposed an online learning method to adaptively update the threshold...Show More
Background subtraction based on pixel clustering
Yanghong Zhang;Qing He;Haibin Wang;Guan Guan;Tao Xu;Haodong Chen
2016 IEEE International Conference on Information and Automation (ICIA)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Nowadays motion detection in video sequences is the basis for the high-level analytics and applications. After ViBe is proposed, the current mainstream detection algorithm is based on pixel level to construct the background model for the foreground / background segmentation. Influenced by this kind of algorithm, this paper proposes a spatiotemporal-based algorithm to construct an approximate preci...Show More
A visual target tracking algorithm based on improved Kernelized Correlation Filters
2016 IEEE International Conference on Mechatronics and Automation
Year: 2016 | Conference Paper |
Cited by: Papers (4)
Visual target tracking is one of fundamental research of computer vision field and play an important role in the surveillance application, but it is also one of the difficulties due to the instability of the tracking scene. In this paper, we analyze the major drawbacks of the original Kernelized Correlation Filter (KCF) tracker which causes tracking failure when target experience complicated scena...Show More
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