Yuhang Li

Dr. Yuhang Li

1 Institute of Solid Mechanics, Beihang University (BUAA), Beijing 100191, China
+1
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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9 May 2023 in Nature Communications
Verified
Journal Article
Open access
PDF file
YLYiming Liu
Yiming Liu
CYChun Ki Yiu
Chun Ki Yiu
ZZZhao Zhao
Zhao Zhao
WPWooyoung Park
Wooyoung Park
RSRui Shi
Rui Shi
Xinge YuXinge Yu
Xinge Yu
Recent advances in virtual reality (VR) technologies accelerate the creation of a flawless 3D virtual world to provide frontier social platform for human. Equally important to traditional visual, auditory and tactile sensations, olfaction exerts both physiological and psychological influences on humans. Here, we report a concept of skin-interfaced olfactory feedback systems with wirelessly, programmable capabilities based on arrays of flexible and miniaturized odor generators (OGs) for olfactory VR applications. By optimizing the materials selection, design layout, and power management, the OGs exhibit outstanding device performance in various aspects, from response rate, to odor concentration control, to long-term continuous operation, to high mechanical/electrical stability and to low power consumption. Representative demonstrations in 4D movie watching, smell message delivery, medical treatment, human emotion control and VR/AR based online teaching prove the great potential of the soft olfaction interface in various practical applications, including entertainment, education, human machine interfaces and so on.

30 August 2019 in Advanced Functional Materials
Verified
Journal Article
Closed access
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YSYingli Shi
Yingli Shi
CWChengjun Wang
Chengjun Wang
YYYafei Yin
Yafei Yin
YLYuhang Li
Yuhang Li
YXYufeng Xing
Yufeng Xing
Jizhou SongJizhou Song
Jizhou Song

25 May 2024 in Nature Communications
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Journal Article
Open access
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YLYiming Liu
Yiming Liu
SJShengxin Jia
Shengxin Jia
CYChun Ki Yiu
Chun Ki Yiu
WPWooyoung Park
Wooyoung Park
ZCZhenlin Chen
Zhenlin Chen
Xinge YuXinge Yu
Xinge Yu
Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challenges, including human perceivable delay in odor manipulation, unwieldy dimensions, and limited number of odor supplies. Herein, we report a general strategy to solve these problems, which associates with a wearable, high-performance olfactory interface based on miniaturized odor generators (OGs) with advanced artificial intelligence (AI) algorithms. The OGs serve as the core technology of the intelligent olfactory interface, which exhibit milestone advances in millisecond-level response time, milliwatt-scale power consumption, and the miniaturized size. Empowered by robust AI algorithms, the olfactory interface shows its great potentials in latency-free mixed reality (MR) and fast olfaction enhancement, thereby establishing a bridge between electronics and users for broad applications ranging from entertainment, to education, to medical treatment, and to human machine interfaces.

21 July 2020 in Small
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Journal Article
Closed access
PDF file
XFXuanqing Fan
Xuanqing Fan
YLYuhang Li
Yuhang Li
SCSihong Chen
Sihong Chen
YXYufeng Xing
Yufeng Xing
TPTaisong Pan
Taisong Pan

25 August 2021 in Advanced Electronic Materials
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Journal Article
Closed access
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XCXiaolian Chen
Xiaolian Chen
YYYafei Yin
Yafei Yin
WYWei Yuan
Wei Yuan
SNShuhong Nie
Shuhong Nie
YLYong Lin
Yong Lin
ZCZheng Cui
Zheng Cui

10 August 2022 in Biosensors
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Journal Article
Open access
PDF file
ZHZeqing He
Zeqing He
KWKuan Wang
Kuan Wang
ZZZhao Zhao
Zhao Zhao
TZTaihua Zhang
Taihua Zhang
YLYuhang Li
Yuhang Li
LWLiu Wang
Liu Wang
Skin-inspired flexible wearable acceleration sensors attract much attention due to their advantages of portability, personalized and comfortable experience, and potential application in healthcare monitoring, human–machine interfaces, artificial intelligence, and physical sports performance evaluation. This paper presents a flexible wearable acceleration sensor for monitoring human motion by introducing the island–bridge configuration and serpentine interconnects. Compared with traditional wearable accelerometers, the flexible accelerometer proposed in this paper improves the wearing comfort while reducing the cost of the device. Simulation and experiments under bending, stretching, and torsion conditions demonstrate that the flexible performance of the flexible acceleration sensor can meet the needs of monitoring the daily movement of the human body, and it can work normally under various conditions. The measurement accuracy of the flexible acceleration sensor is verified by comparing it with the data of the commercial acceleration sensor. The flexible acceleration sensor can measure the acceleration and the angular velocity of the human body with six degrees of freedom and recognize the gesture and motion features according to the acceleration characteristics. The presented flexible accelerometers provide great potential in recognizing the motion features that are critical for healthcare monitoring and physical sports performance evaluation.