Design and Implementation of BCI-based Intelligent Upper Limb Rehabilitation Robot System

Kim, Tae-Yeun; Kim, Sunghwan; Ko, Hoon

doi:10.1145/3392115

Cited by 34 publications

(35 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Figure 4 : in this stage, the input samples are passed from the input layer, each layer is processed through each hidden layer and then passed to the output layer. If the actual output of the output layer does not match the expected output, enter the second stage, the background attribute stage [ 21 – 24 ].…”

Section: Bp Neural Network Algorithmmentioning

confidence: 99%

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network

Cai

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

The development of social economy and Internet information technology has made the development of the sharing economy relatively rapid. This article aims to study how to promote the sharing economy based on neural networks to play a role in new business models. This article proposes that the sharing economy and the new business model are inseparable. It also discusses how to analyze the relationship between the sharing economy and the new business model based on the BP neural network. With the development of the economy and society, new economic development models have developed, and the sharing economy model has risen. The sharing economy model has brought an impact to the traditional economic development model, affecting the business model. The results show that with the development of society and enterprises, the development of the sharing economy is getting faster and faster. Today, some sharing economy companies are bound to face various obstacles in the process of copying other business models and development. Sharing economy enterprises have made various adjustments and responses to various problems, but they have not found a better model to adapt to the modern social market and environment. Therefore, the business model of the sharing economy requires further analysis and investigation.

show abstract

Section: Bp Neural Network Algorithmmentioning

confidence: 99%

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network

Cai

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…The first prevention strategy is to use certain rehabilitation methods before the disease occurs, screen, and evaluate the more likely symptoms, find the source of the disease and solve it in time, and kill the possible symptoms at the source, to prevent the disease from getting worse, thereby preventing disease. The second prevention strategy is to detect the problem in time when the disease is just a sign of the disease, find the problem early, diagnose the disease early, and treat the disease early, to prevent the disease from further deterioration as much as possible and to cure the disease with appropriate treatment methods [ 9 – 11 ]. The third prevention strategy is to prevent the further deepening of the disease and the occurrence of complications when the disease has already occurred or when the operation has just been performed, so as to restore one's own health [ 10 , 11 ].…”

Section: Targeted Therapy Of Breast Cancer With Mesoporous Multifunct...mentioning

confidence: 99%

Research Progress of Nanomaterial Mechanics for Targeted Treatment of Muscle Strains in Sports Rehabilitation Training

Huang

2022

Applied Bionics and Biomechanics

View full text Add to dashboard Cite

More and more people are beginning to recognize the important role of intelligent rehabilitation training equipment in rehabilitation treatment and continue to carry out related researches. The use of intelligent robot technology for rehabilitation treatment has been rapidly developed, and it has achieved rapid progress on a global scale. Especially in some developed countries, this field has also received corresponding attention in some developed cities in China in recent years. Mesoporous nanomaterials have unique physical, chemical, and biological properties. Mesoporous nanomaterials can be combined with chemotherapy drugs to minimize the harm caused by chemotherapy drugs to the human body and improve the therapeutic effect. As a result, the cure rate has been improved, and it has shown deep potential in breast cancer chemotherapy. Fifty breast cancer patients were selected as the research objects and randomly divided into a control group and an experimental group, each with 25 cases. The control group was treated with conventional chemotherapeutics, and the experimental group was treated with molecular targeted therapy to compare the treatment effects of the two groups. Studies have shown that the recurrence rate and the occurrence probability of complications in the experimental group are significantly lower than those in the control group. Molecular targeted therapy for breast cancer has obvious effects, which reduces the recurrence rate of complications or diseases, and is less toxic.

show abstract

“…Finally, the multi-modal experimental results of this paper are described. This paper introduces the ER process that introduces the attention mechanism, and designs the analysis process of the experiment to compare the single-modal and multi-modal recognition results of this model ( Khalaf et al, 2021 ; Kim et al, 2021a ; Surendran et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Enterprise Strategic Management From the Perspective of Business Ecosystem Construction Based on Multimodal Emotion Recognition

Yong-zhen

Dong

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

Emotion recognition (ER) is an important part of building an intelligent human-computer interaction system and plays an important role in human-computer interaction. Often, people express their feelings through a variety of symbols, such as words and facial expressions. A business ecosystem is an economic community based on interacting organizations and individuals. Over time, they develop their capabilities and roles together and tend to develop themselves in the direction of one or more central enterprises. This paper aims to study a multimodal ER method based on attention mechanism. It analyzes the current emotional state of consumers and the development direction of enterprises through multi-modal ER of human emotions and analysis of market trends, so as to provide the most appropriate response or plan. This paper firstly describes the related methods of multimodal ER and deep learning in detail, and briefly outlines the meaning of enterprise strategy in the business ecosystem. Then, two datasets, CMU-MOSI and CMU-MOSEI, are selected to design the scheme for multimodal ER based on self-attention mechanism. Through the comparative analysis of the accuracy of single-modal and multi-modal ER, the self-attention mechanism is applied in the experiment. The experimental results show that the average recognition accuracy of happy under multimodal ER reaches 91.5%.

show abstract

Design and Implementation of BCI-based Intelligent Upper Limb Rehabilitation Robot System

Cited by 34 publications

References 9 publications

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network

Research Progress of Nanomaterial Mechanics for Targeted Treatment of Muscle Strains in Sports Rehabilitation Training

Enterprise Strategic Management From the Perspective of Business Ecosystem Construction Based on Multimodal Emotion Recognition

Contact Info

Product

Resources

About