Human–Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning-Reference-Cited by-同舟云学术

Human–Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning

Published:2023-03-22 Issue:13 Volume:15 Page:17009-17018
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Luo Hao¹²,Du Jingyi¹²,Yang Peng²³,Shi Yuxiang²³^ORCID,Liu Zhaoqi²³,Yang Dehong²³,Zheng Li¹,Chen Xiangyu²³^ORCID,Wang Zhong Lin²³^ORCID

Affiliation:

1. College of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China

2. Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, PR China

3. School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, PR China

Funder

Ministry of Science and Technology of the People's Republic of China

Beijing Municipal Science and Technology Commission

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Shanghai Municipal Education Commission

National Natural Science Foundation of China

Beijing Nova Program

Young Top-Notch Talents Program of Beijing Excellent Talents Funding

Publisher

American Chemical Society (ACS)

Subject