Advanced Electronics and Artificial Intelligence: Must‐Have Technologies Toward Human Body Digital Twins

Dai, Yanning; Wang, Jiaqi; Gao, Shuo

doi:10.1002/aisy.202100263

Cited by 25 publications

(14 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By collecting the patient’s biosignals, doctors can obtain the patient’s biological indicators in real-time and provide guidance for the patient’s medical rehabilitation. Secondly, the fusion of various biological signals makes it possible to build a digital twin model of the human body [ 178 ]. The digital twin model allows doctors to study the impact of different drugs and different rehabilitation strategies on the patient’s body from the patient’s digital model, and then choose the best solution for the patient.…”

Section: Discussionmentioning

confidence: 99%

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

Zheng

Zhao

et al. 2022

Biosensors

Self Cite

View full text Add to dashboard Cite

Wearables developed for human body signal detection receive increasing attention in the current decade. Compared to implantable sensors, wearables are more focused on body motion detection, which can support human–machine interaction (HMI) and biomedical applications. In wearables, electromyography (EMG)-, force myography (FMG)-, and electrical impedance tomography (EIT)-based body information monitoring technologies are broadly presented. In the literature, all of them have been adopted for many similar application scenarios, which easily confuses researchers when they start to explore the area. Hence, in this article, we review the three technologies in detail, from basics including working principles, device architectures, interpretation algorithms, application examples, merits and drawbacks, to state-of-the-art works, challenges remaining to be solved and the outlook of the field. We believe the content in this paper could help readers create a whole image of designing and applying the three technologies in relevant scenarios.

show abstract

Section: Discussionmentioning

confidence: 99%

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

Zheng

Zhao

et al. 2022

Biosensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…As can be seen from Figure 1, the dynamic adjustment of the number of works analyzed once in the production set can accurately determine the global polar scheme and the polar scheme represents the best combination of various lm and television production theories. erefore, the dynamic adjustment of the number of works analyzed in a single time can make the lm and television works meet the requirements and improve the accuracy of the combination strategy results as stated by Dai et al [19]. At the same time, the data in Figure 1 show periodic changes.…”

Section: Artificial Intelligence Algorithmmentioning

confidence: 91%

Study Film and Television Postproduction and Innovation Strategy Based on an Artificial Intelligence Algorithm

Han

Shen

2022

Mobile Information Systems

View full text Add to dashboard Cite

In the process of choosing the best scheme in the artificial intelligence algorithm, it is impossible to accurately judge the nonlinear relationship between the innovation strategy and the film and television postproduction scheme. An improved artificial intelligence algorithm based on the integration of dynamic factors and the artificial intelligence algorithm is proposed to reduce the disturbance ability of the artificial intelligence algorithm and improve the analysis level of film and television postproduction and innovation strategy. Firstly, the initial innovation strategy set of the production set is established by using dynamic factors, which makes it discrete and reduces the influence of the scheme selection error on the results. Then, the production set is divided into dynamic subproduction sets by using the film and television production theory, and each subproduction set seeks its own parallel innovation strategy. Finally, under the guidance of film and television production theory, each subproduction set shares the matching of optimal solutions. Through MATLAB simulation analysis and verification, the improved dynamic artificial intelligence algorithm can improve the accuracy of judging the innovation strategy of film and television works in an uncertain environment and shorten the convergence time of global feature solution and is superior to the original selection method of film and television production strategy. In addition, under that condition the initial weight scheme and the threshold scheme are set. The artificial intelligence algorithm is used to analyze the innovation strategy selection of youth idol works. The results show that under different film and television production requirements, the innovation strategy selection judgment of the artificial intelligence algorithm is accurate and superior to the original film and television production strategy selection method, which further verifies the effectiveness of the artificial intelligence algorithm proposed in this paper.

show abstract

“…Bhatnagar et al [18] interpreted tolerance as a parameter of a series of point vectors on a geometric model and proposed a vector tolerance expression model, in which points on the model have deviations and are constrained by tolerances. Li et al [19] further normalized the above idea, defined the mutually independent geometric variables as the basic vector of the vector space, and gave the tolerance model based on the feasible tolerance region and the feasible vector space tolerance model on the basis of the variable solid modeling [20]. e deviation surface model is proposed to simulate the actual surface of the 3D mapping and display it in the 3D environment, and its essence is the extension of the vector model.…”

Section: Related Workmentioning

confidence: 99%

3D Design Platform of Virtual National Costume Based on Digital Nonlinear Random Matrix

Zhang

Shen

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The traditional two-dimensional clothing CAD system is more and more difficult to meet the needs of the three-dimensional design of virtual national clothing products. Based on the digital nonlinear random matrix theory, this paper constructs a three-dimensional design platform for virtual ethnic clothing and proposes a weighted graph tree representation method for the deviation transfer process of nonlinear ethnic clothing. The model first analyzes the business links and information related to the deviation transfer modeling of ethnic clothing and establishes a hierarchical relationship tree, a method of expressing the order of ethnic clothing, and a method of expressing deviation. The weighted graph tree model and construction rules of the deviation transmission process realize the integrated expression of the deviation transmission information of ethnic clothing and solve the nonlinear problem in the transmission of ethnic clothing deviation. During the simulation process, the article uses the three-dimensional geometric modeling tool POSER to establish a standard entry model, edit it in 3DS MAX and export the file, read it, and parameterize it through programming, and realize the drawing of the three-dimensional avatar model based on OpenGL. The experimental results show that the parametric avatar model established by the system is accurate and realistic and can quickly convert the 3D style to the N-dimensional pattern.

show abstract

Advanced Electronics and Artificial Intelligence: Must‐Have Technologies Toward Human Body Digital Twins

Cited by 25 publications

References 81 publications

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications

Study Film and Television Postproduction and Innovation Strategy Based on an Artificial Intelligence Algorithm

3D Design Platform of Virtual National Costume Based on Digital Nonlinear Random Matrix

Contact Info

Product

Resources

About