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A Novel Method for Cross-Subject Human Activity Recognition with wearable sensors

Journal of Sensor Technology 2024年第2期14卷 17-34页

作者： Qi Zhang Feng Jiang Xun Wang Jinnan Duan Xiulai Wang Ningling Ma Yutao Zhang Faculty of Computing Harbin Institute of Technology Harbin China School of Future Technology Nanjing University of Information Science & Technology Nanjing China School of Medicine and Health Harbin Institute of Technology Harbin China Nanjing Jinling Hospital Affiliated Hospital of Medical School Nanjing University Nanjing China

Human Activity Recognition (HAR) is an important way for lower limb exoskeleton robots to implement human-computer collaboration with users. Most of the existing methods in this field focus on a simple scenario recognizing activities for specific users, which does not consider the individual differences among users and cannot adapt to new users. In order to improve the generalization ability of HAR model, this paper proposes a novel method that combines the theories in transfer learning and active learning to mitigate the cross-subject issue, so that it can enable lower limb exoskeleton robots being used in more complex scenarios. First, a neural network based on convolutional neural networks (CNN) is designed, which can extract temporal and spatial features from sensor signals collected from different parts of human body. It can recognize human activities with high accuracy after trained by labeled data. Second, in order to improve the cross-subject adaptation ability of the pre-trained model, we design a cross-subject HAR algorithm based on sparse interrogation and label propagation. Through leave-one-subject-out validation on two widely-used public datasets with existing methods, our method achieves average accuracies of 91.77% on DSAD and 80.97% on PAMAP2, respectively. The experimental results demonstrate the potential of implementing cross-subject HAR for lower limb exoskeleton robots.

关键词： Human Activity Recognition Cross-Subject Adaptation Semi-Supervised Learning wearable sensors

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Sensing nanomaterials of wearable glucose sensors

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Chinese Chemical Letters 2021年第1期32卷 221-228页

作者： Guanglei Li Dan Wen State Key Laboratory of Solidification Processing Center for Nano Energy MaterialsSchool of Materials Science and EngineeringNorthwestern Polytechnical University(NPU)and Shaanxi Joint Laboratory of GrapheneXi'an 710072China

The metabolic disorder of glucose in human body will cause diseases such as diabetes and *** the determination of glucose content is very important in clinic *** recent years,researchers have proposed various non-invasive wearable sensors for rapid and real-time glucose monitoring from human body *** those reviews which discussed performances,detection environments or substrates of the wearable glucose sensor,this review focuses on the sensing nanomaterials since they are the key elements of most wearable glucose *** sensing nanomaterials such as carbon,metals,and conductive polymers are summarized in *** also the structural characteristics of different sensing nanomaterials and the corresponding wearable glucose sensors are ***,we prospect the future development requirements of sensing nanomaterials for wearable glucose *** review would give some insights to the further development of wearable glucose sensors and the modern medical treatment.

关键词： wearable sensors Glucose detection Sensing nanomaterials Noninvasive detection Flexibility

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Estimating Heart Rate & Blood Glucose Levels Using wearable sensors

Estimating Heart Rate & Blood Glucose Levels Using Wearable ...

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作者： SIDDIQUI,SARAH ALI 济南大学

学位级别：硕士

The diverse breakthroughs in wearable sensors technology coupled with advanced biomedical signal processing have made it possible to keep track of basic human vitals like heart rate,blood glucose and blood pressure,*** convenient self-monitoring solutions based on these sensors are now available that not only help living a healthy daily life but also plays an important role in disease diagnosis and ***,each user might have different requirements and priorities when it comes to selecting a self-monitoring *** extensive research and careful selection,non-invasive blood glucose monitoring methods from the recent five years(2012–2016)are reviewed and analyzed based on certain constraints which include time efficiency,comfort,cost,portability,power consumption etc.a user might experience when using such ***-calibration,time and power efficiency are the biggest challenges that require further research in order to satisfy a large number of *** order to solve these challenges,Artificial intelligence(AI)is being employed by many *** based estimation and decision models hold the future of non-invasive selfmonitoring in terms of accuracy,cost effectiveness,portability and efficiency ***(PPG)is one of the many optical technologies that are the basis of these wearable *** energy efficient algorithm to estimate pulse rate has been proposed in this work that uses smartphone camera as a sensor to acquire PPG *** use of smartphone camera makes the system simple,cost effective and *** percentage accuracy of the proposed algorithm is found to be 98.02%.Later,PPG signals are used to estimate blood glucose levels by applying machine learning *** blood glucose scale is divided into 6 groups;G1–*** estimation model is based on 67 features of single period waveform shape and classifies the collected data into 7 groups *** data(G0)and G1–*** glucose estimation model

关键词： photoplethysmography(PPG) non-invasive blood glucose monitoring pulse rate wearable sensors machine learning in healthcare

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Pathways toward wearable and high-performance sensors based on hydrogels:toughening networks and conductive networks

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National Science Review 2023年第9期10卷 286-306页

作者： Junbo Zhu Jingchen Tao Wei Yan Weixing Song Beijing Key Laboratory for Optical Materials and Photonic Devices Department of Chemistry Capital Normal University

wearable hydrogel sensors provide a user-friendly option for wearable electronics and align well with the existing manufacturing strategy for connecting and communicating with large numbers of Internet of Things *** is attributed to their components and structures,which exhibit exceptional adaptability,scalability,bio-compatibility,and self-healing properties,reminiscent of human *** review focuses on the recent research on principal structural elements of wearable hydrogels:toughening networks and conductive networks,highlighting the strategies for enhancing mechanical and electrical *** hydrogel sensors are categorized for an extensive exploration of their composition,mechanism,and design *** review provides a comprehensive understanding of wearable hydrogels and offers guidance for the design of components and structures in order to develop high-performance wearable hydrogel sensors.

关键词： hydrogels electronic skin toughening networks conductive networks wearable sensors

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Physical sensors for skin-inspired electronics

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InfoMat 2020年第1期2卷 184-211页

作者： Shuo Li Yong Zhang Yiliang Wang Kailun Xia Zhe Yin Huimin Wang Mingchao Zhang Xiaoping Liang Haojie Lu Mengjia Zhu Haomin Wang Xinyi Shen Yingying Zhang Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of ChemistryTsinghua UniversityBeijingChina

Skin,the largest organ in the human body,is sensitive to external *** recent years,an increasing number of skin-inspired electronics,including wearable electronics,implantable electronics,and electronic skin,have been developed because of their broad applications in healthcare and *** sensors are one of the key building blocks of skin-inspired *** physical sensors include mechanical sensors,temperature sensors,humidity sensors,electrophysiological sensors,and so *** this review,we systematically review the latest advances of skin-inspired mechanical sensors,temperature sensors,and humidity *** working mechanisms,key materials,device structures,and performance of various physical sensors are summarized and discussed in *** applications in health monitoring,human disease diagnosis and treatment,and intelligent robots are *** addition,several novel properties of skin-inspired physical sensors such as versatility,self-healability,and implantability are ***,the existing challenges and future perspectives of physical sensors for practical applications are discussed and proposed.

关键词： electronics skin flexible electronics humidity sensors mechanical sensors temperature sensors wearable sensors

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Driving Activity Classification Using Deep Residual Networks Based on Smart Glasses sensors

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Intelligent Automation & Soft Computing 2023年第11期38卷 139-151页

作者： Narit Hnoohom Sakorn Mekruksavanich Anuchit Jitpattanakul Department of Computer Engineering Image Information and Intelligence LaboratoryFaculty of EngineeringMahidol UniversityNakhon Pathom73170Thailand Department of Computer Engineering School of Information and Communication TechnologyUniversity of PhayaoPhayaoThailand Department of Mathematics Faculty of Applied ScienceKing Mongkut’s University of Technology North BangkokBangkok10800Thailand Intelligent and Nonlinear Dynamic Innovations Research Center Science and Technology Research InstituteKing Mongkut’s University of Technology North BangkokBangkok10800Thailand

Accidents are still an issue in an intelligent transportation system,despite developments in self-driving technology(ITS).Drivers who engage in risky behavior account for more than half of all road *** a result,reckless driving behaviour can cause congestion and *** vision and multimodal sensors have been used to study driving behaviour categorization to lessen this *** research has also collected and analyzed a wide range of data,including electroencephalography(EEG),electrooculography(EOG),and photographs of the driver’s *** the other hand,driving a car is a complicated action that requires a wide range of body *** this work,we proposed a ResNet-SE model,an efﬁcient deep learning classiﬁer for driving activity clas-siﬁcation based on signal data obtained in real-world trafﬁc conditions using smart ***-to-end learning can be achieved by combining residual networks and channel attention approaches into a single learning *** data from 3-point EOG electrodes,tri-axial accelerometer,and tri-axial gyroscope from the Smart Glasses dataset was utilized in this *** performed various experiments and compared the proposed model to base-line deep learning algorithms(CNNs and LSTMs)to demonstrate its *** to the research results,the proposed model outperforms the previous deep learning models in this domain with an accuracy of 99.17%and an F1-score of 98.96%.

关键词： Smart glasses human activity recognition deep learning wearable sensors driving activity

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Synthesis of silicone blocked bio-polyurethane and its application in highly stretchable fiber-shaped strain sensor

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Nano Research 2023年第5期16卷 7982-7990页

作者： Zhanxu Liu Chenchen Li Xiaofeng Zhang Hongxing Xu Yanfen Zhou Mingwei Tian Shaojuan Chen Stephen Jerrams Feng-Lei Zhou Liang Jiang College of Textiles and Clothing Qingdao UniversityQingdao 266071China Centre for Elastomer Research Technological University Dublin(TU Dublin)Dublin D08 NF82Ireland Centre for Medical Image Computing University College LondonLondon WC1V 6LJUK

Flexible strain sensors have become a key component of intelligent wearable ***,the fabrication of strain sensors with wide workable strain ranges and high sensitivity remains a great ***,the rapid development of polymer composites based strain sensors has produced a large amount of ***,the development of strain sensors with wide strain sensing ranges and high sensitivity based on degradable materials is *** this work,a silicone blocked polyurethane(Si-BPU)with high stretchability and degradability was synthesized and composited with carbon nanotubes(CNTs)to fabricate fibrous strain *** synthesized 0.5%Si-BPU exhibited good biodegradability with a weight loss of 16.47%in 42 *** Si-BPU/12CNTs fiber based strain sensor achieved a sensing range of 0%–353.3%strain,gauge factor(GF)of 206.3 at 250%strain and of 4,513.2 at 353.3%strain,reliable stability under 10,000 repeated stretching–releasing ***,the Si-BPU/12CNTs strain sensor showed rapid response time(wearable electronic devices.

关键词： degradability wet spinning conductivity wearable sensors

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Research on thermal cyclization polyacrylonitrile enhanced piezoelectric performances of a flexible electronic skin sensor

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Science China Technological Sciences 2024年第12期67卷 3855-3866页

作者： JIA XuYing MU JiLiang WU Qiong YANG DongKuan LUO ZhongKe LIN JunFei GENG WenPing HOU XiaoJuan HE Jian CHOU XiuJian Science and Technology on Electronic Test and Measurement Laboratory North University of China Institute of Advanced Energy Materials and System North University of China

Electronic skin(e-skin) is a research focus in the fields of robotics design, artificial prosthetics, and wearable electronics. When used for long-term unattended monitoring, several key problems, such as energy supply, sensing performance, and structural design, have attracted increasing attention. This study reports a self-powered flexible e-skin sensor(FES) based on the thermal cyclization of polyacrylonitrile, which enhances the piezoelectric effect. It mainly consists of nanoscale polyacrylonitrile(PAN),Ecoflex, and flexible PCB electrodes. PAN is mixed as a piezoelectric functional material in the Ecoflex substrate, forming a flexible sensing module. To enhance charge accumulation, PAN is initially electrospun into nanofibers and subsequently modified through a thermal treatment process. This procedure results in the formation of a conjugated trapezoid structure within PAN and significantly increases its molecular dipole moment. Due to the contribution of numerous nanocapacitors, the piezoelectric properties of the sensing module are significantly improved. To ensure durability, flexible PCBs were designed as the top and bottom electrodes of the sensing module via industrial board lamination and forming processes, also serving as packaging. Additionally, a human-computer interaction(HMI) system for e-skin measurement was developed, enabling realtime signal processing between the e-skin and the computer. On the basis of the good combination of piezoelectric nanoparticles,an Ecoflex substrate, and flexible PCBs, FES can reach 0.67 V/kPa and 0.99 voltage sensitivity and voltage linearity, respectively, under self-powered conditions under external pressure, and the detection range can reach 40–650 kPa. On the basis of the good performance of FES devices, such as their self-powered ability, long-term serviceability, high sensitivity, wide monitoring range, and various optimized designs for later circuits, the e-skin designed in this paper has important applications

关键词： e-skin PAN wearable sensors electrospinning piezoelectric HMI

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Bioinspired nanomaterials for wearable sensing and human–machine interfacing

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Nano Research 2024年第2期17卷 445-461页

作者： Vishesh Kashyap Junyi Yin Xiao Xiao Jun Chen Department of Bioengineering University of CaliforniaLos AngelesLos AngelesCA 90095USA Department of Mechanical and Aerospace Engineering University of CaliforniaLos AngelesLos AngelesCA 90095USA

The inculcation of bioinspiration in sensing and human–machine interface(HMI)technologies can lead to distinctive characteristics such as conformability,low power consumption,high sensitivity,and unique properties like self-healing,self-cleaning,and *** sensing and HMI are fields rife with opportunities for the application of bioinspired nanomaterials,particularly when it comes to wearable sensory systems where biocompatibility is an additional *** review discusses recent development in bioinspired nanomaterials for wearable sensing and HMIs,with a specific focus on state-of-the-art bioinspired capacitive sensors,piezoresistive sensors,piezoelectric sensors,triboelectric sensors,magnetoelastic sensors,and electrochemical *** also present a comprehensive overview of the challenges that have hindered the scientific advancement in academia and commercialization in the industry.

关键词： bioinspired nanomaterials human–machine interface wearable sensors wearable bioelectronics

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Laser direct writing of Ga_(2)O_(3)/liquid metal-based flexible humidity sensors

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Opto-Electronic Advances 2023年第7期6卷 30-39页

作者： Songya Cui Yuyao Lu Depeng Kong Huayu Luo Liang Peng Geng Yang Huayong Yang Kaichen Xu State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310030China School of Information and Electrical Engineering Hangzhou City UniversityHangzhou 310015China

Flexible and wearable humidity sensors play a vital role in daily point-of-care diagnosis and noncontact human-machine ***,achieving a facile and high-speed fabrication approach to realizing flexible humidity sensors remains a *** this work,a wearable capacitive-type Ga_(2)O_(3)/liquid metal-based humidity sensor is demonstrated by a one-step laser direct writing *** to the photothermal effect of laser,the Ga_(2)O_(3)-wrapped liquid metal particles can be selectively sintered and converted from insulative to conductive traces with a resistivity of 0.19Ω·cm,while the untreated regions serve as active sensing layers in response to moisture *** 95%relative humidity,the humidity sensor displays a highly stable performance along with rapid response and recover *** these superior properties,the Ga_(2)O_(3)/liquid metal-based humidity sensor is able to monitor human respiration rate,as well as skin moisture of the palm under different physiological states for healthcare monitoring.

关键词： laser direct writing liquid metal humidity sensors flexible electronics wearable sensors

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