Paper Info
Title
A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids.
Abstract
The auditory system is the most efficient and straightforward communication strategy for connecting human beings and robots. Here, we designed a self-powered triboelectric auditory sensor (TAS) for constructing an electronic auditory system and an architecture for an external hearing aid in intelligent robotic applications. Based on newly developed triboelectric nanogenerator (TENG) technology, the TAS showed ultrahigh sensitivity (110 millivolts/decibel). A TAS with the broadband response from 100 to 5000 hertz was achieved by designing the annular or sectorial inner boundary architecture with systematic optimization. When incorporated with intelligent robotic devices, TAS demon-strated high-quality music recording and accurate voice recognition for realizing intelligent human-robot interaction. Furthermore, the tunable resonant frequency of TAS was achieved by adjusting the geometric design of inner bound-ary architecture, which could be used to amplify a specific sound wave naturally. On the basis of this unique property, we propose a hearing aid with the TENG technique, which can simplify the signal processing circuit and reduce the power consuming. This work expresses notable advantages of using TENG technology to build a new generation of auditory systems for meeting the challenges in social robotics.
Year
DOI
Venue
2018
10.1126/scirobotics.aat2516
SCIENCE ROBOTICS
DocType
Volume
Issue
Journal
3
20
ISSN
Citations 
PageRank 
2470-9476
2
0.36
References 
Authors
0
13
Name
Order
Citations
PageRank
Xianjie Pu120.36
Jie Chen22487353.65
Yan Meng320.36
Min-Hsin Yeh420.36
Guanlin Liu520.36
Qian Tang652.49
Baodong Chen720.36
Di Liu87121.08
Qi Song912213.81
Changsheng Wu1020.36
Chenguo Hu1120.36
Jie Wang1220.69
Zhong Lin Wang13124.42