Xiaofeng Wang

Prof. Dr. Xiaofeng Wang

State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China
+1

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
13 October 2016 in Nano Research
Verified
Journal Article
Closed access
PDF file
Keren DaiKeren Dai
Keren Dai
XWXiaofeng Wang
Xiaofeng Wang
SNSimiao Niu
Simiao Niu
FYFang Yi
Fang Yi
YYYajiang Yin
Yajiang Yin
ZYZheng You
Zheng You

8 February 2016 in Journal of Electronic Materials
Verified
Journal Article
Closed access
PDF file
CHChenglong Hao
Chenglong Hao
XWXiaofeng Wang
Xiaofeng Wang
YYYajiang Yin
Yajiang Yin
ZYZheng You
Zheng You

4 September 2006 in Chinese Journal of Chemistry
Verified
Journal Article
Closed access
PDF file
XWXiaofeng Wang
Xiaofeng Wang
ZYZheng You
Zheng You
DRDian‐Bo Ruan
Dian‐Bo Ruan

15 September 2016 in Sensors
Verified
Journal Article
Open access
PDF file
MHMdpi Han
Mdpi Han
YCYalu Cao
Yalu Cao
ZJZhao Jingjing
Zhao Jingjing
YYYajiang Yin
Yajiang Yin
LYLiangchen Ye
Liangchen Ye
Zheng YouZheng You
Zheng You
Biomechanical energy harvesting is a feasible solution for powering wearable sensors by directly driving electronics or acting as wearable self-powered sensors. A wearable insole that not only can harvest energy from foot pressure during walking but also can serve as a self-powered human motion recognition sensor is reported. The insole is designed as a sandwich structure consisting of two wavy silica gel film separated by a flexible piezoelectric foil stave, which has higher performance compared with conventional piezoelectric harvesters with cantilever structure. The energy harvesting insole is capable of driving some common electronics by scavenging energy from human walking. Moreover, it can be used to recognize human motion as the waveforms it generates change when people are in different locomotion modes. It is demonstrated that different types of human motion such as walking and running are clearly classified by the insole without any external power source. This work not only expands the applications of piezoelectric energy harvesters for wearable power supplies and self-powered sensors, but also provides possible approaches for wearable self-powered human motion monitoring that is of great importance in many fields such as rehabilitation and sports science.

30 May 2019 in IEEE Access
Verified
Journal Article
Open access
NQNanjian Qi
Nanjian Qi
Keren DaiKeren Dai
Keren Dai
FYFang Yi
Fang Yi
XWXiaofeng Wang
Xiaofeng Wang
ZYZheng You
Zheng You
JZJiahao Zhao
Jiahao Zhao

22 July 2022 in Nano Energy
Verified
Journal Article
Closed access
NQNanjian Qi
Nanjian Qi
KDKeren Dai
Keren Dai
XWXiaofeng Wang
Xiaofeng Wang
ZYZheng You
Zheng You