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Your search keyword '"Zhao, Zhang-yan"' showing total 14 results
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14 results on '"Zhao, Zhang-yan"'

5. Difference Between Atomic Layer Deposition TiAl and Physical Vapor Deposition TiAl in Threshold Voltage Tuning for Metal Gated NMOSFETs

Author

Xue-Jiao Wang, Zhao-Yang Li, Han-Lun Cai, Yu-Long Jiang, Zhao-Zhang Yan, and Jing Wan

Subjects
Metal, Atomic layer deposition, Materials science, visual_art, Physical vapor deposition, Electrode, visual_art.visual_art_medium, Analytical chemistry, Electrical and Electronic Engineering, Layer (electronics), Electronic, Optical and Magnetic Materials, Threshold voltage
Abstract

In this work, the influence of TiAl gate electrode fabricated by atomic layer deposition (ALD) and physical vapor deposition (PVD) on threshold voltage ( $\text{V}_{\text {t}}$ ) for metal-gated NMOSFETs is respectively investigated. Compared to ALD TiAl, the 200 mV lower $\text{V}_{\text {t}}$ for PVD TiAl is demonstrated and attributed to the oxidation of TiAl with a strong segregation of Ti near TiAl/TaN interface. It is further revealed that by changing the thickness of the first layer ALD TiAl film, the multi- $\text{V}_{\text {t}}$ can be easily obtained within a range of 200 mV using an ALD TiAl /PVD TiAl double layer gate electrode.

Published
2021

6. Research on Gesture Definition and Electrode Placement in Pattern Recognition of Hand Gesture Action SEMG

Author

Zhang, Xu, Chen, Xiang, Zhao, Zhang-yan, Tu, You-qiang, Yang, Ji-hai, Lantz, Vuokko, Wang, Kong-qiao, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Zhang, David, editor

Published
2007
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7. An Adaptive Feature Extractor for Gesture SEMG Recognition

Author

Zhang, Xu, Chen, Xiang, Zhao, Zhang-yan, Li, Qiang, Yang, Ji-hai, Lantz, Vuokko, Wang, Kong-qiao, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Zhang, David, editor

Published
2007
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9. Feasibility of building robust surface electromyography-based hand gesture interfaces

Author

Wang Kongqiao, Vuokko Lantz, Zhang Xu, Yang Jihai, Chen Xiang, and Zhao Zhang-Yan

Subjects
Adult, Male, Surface Properties, InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI), Computer science, Speech recognition, Feature extraction, Electromyography, Application software, computer.software_genre, Pattern Recognition, Automated, User-Computer Interface, Artificial Intelligence, medicine, Humans, Computer vision, Electrodes, Gestures, medicine.diagnostic_test, business.industry, Signal Processing, Computer-Assisted, Hand, Robot control, Female, Artificial intelligence, User interface, business, computer, Algorithms, Software, Gesture
Abstract

This study explored the feasibility of building robust surface electromyography (EMG)-based gesture interfaces starting from the definition of input command gestures. As a first step, an offline experimental scheme was carried out for extracting user-independent input command sets with high class separability, reliability and low individual variations from 23 classes of hand gestures. Then three types (same-user, multi-user and cross-user test) of online experiments were conducted to demonstrate the feasibility of building robust surface EMG-based interfaces with the hand gesture sets recommended by the offline experiments. The research results reported in this paper are useful for the development and popularization of surface EMG-based gesture interaction technology.

Published
2009

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