High-quality Drosophila embryo images can provide reliable data sources for the research of gene expression and gene interaction. Based on the Drosophila embryo images, a FEMine system is constructed to assist geneticists in quickly mining information for analysis. The extraction of interested Drosophila embryo is an important pretreatment in the FEMine systems. In this paper, taking contour extraction task as image generation task, we proposed a conditional generative adversarial network to generate contour maps of the same size as input images. Based on the Drosophila embryo manual dataset DEDS(Drosophila embryo Dataset)1, for each of the ground-truth, we turn the regions of the interested Drosophila embryo into contours of that. The experiments on DEDS demonstrate that our framework can efficiently extract the contours of the interested Drosophila embryos.
{"title":"Contour Extraction of Drosophila Embryos Based on Conditional Generative Adversarial Nets","authors":"Hui Huang, Zhoutao Wang, Y. Gong, Qingzhen Xu","doi":"10.1109/ICDH.2018.00022","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00022","url":null,"abstract":"High-quality Drosophila embryo images can provide reliable data sources for the research of gene expression and gene interaction. Based on the Drosophila embryo images, a FEMine system is constructed to assist geneticists in quickly mining information for analysis. The extraction of interested Drosophila embryo is an important pretreatment in the FEMine systems. In this paper, taking contour extraction task as image generation task, we proposed a conditional generative adversarial network to generate contour maps of the same size as input images. Based on the Drosophila embryo manual dataset DEDS(Drosophila embryo Dataset)1, for each of the ground-truth, we turn the regions of the interested Drosophila embryo into contours of that. The experiments on DEDS demonstrate that our framework can efficiently extract the contours of the interested Drosophila embryos.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The block chain has achieved great success in bit coin, and its decentralization idea caught highly attention of financial institutions, capital markets and academia. Decentralization is the most fundamental feature of the block chain, but decentralization sacrifices efficiency, while mining leads to high bit coin transaction costs; in some industries, such as the commercial retail, high efficiency and low cost are required. The consensus algorithm is the core technology to achieve non-centralization. This article proposes a DPoS consensus mechanism election algorithm. This algorithm improves the ring-based coordinator election algorithm. First, the algorithm is used to elect the agents, and then the final winner, reach a new consensus, meet the requirements of the block chain performance in the commercial retail sector, reduce transaction costs, and construct a fair, freely competitive, non-monopoly, secure and non-centralized block chain platform.
{"title":"A New Election Algorithm for DPos Consensus Mechanism in Blockchain","authors":"Yinghui Luo, Yiqun Chen, Qiang Chen, Q. Liang","doi":"10.1109/ICDH.2018.00029","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00029","url":null,"abstract":"The block chain has achieved great success in bit coin, and its decentralization idea caught highly attention of financial institutions, capital markets and academia. Decentralization is the most fundamental feature of the block chain, but decentralization sacrifices efficiency, while mining leads to high bit coin transaction costs; in some industries, such as the commercial retail, high efficiency and low cost are required. The consensus algorithm is the core technology to achieve non-centralization. This article proposes a DPoS consensus mechanism election algorithm. This algorithm improves the ring-based coordinator election algorithm. First, the algorithm is used to elect the agents, and then the final winner, reach a new consensus, meet the requirements of the block chain performance in the commercial retail sector, reduce transaction costs, and construct a fair, freely competitive, non-monopoly, secure and non-centralized block chain platform.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122762825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We describe an adaptive weighted deformable part model for object detection based on traditional deformable part model(DPM). In the original DPM model, we find that the high response score region calculated by the template filter as high-energy regions, which indicates that the influence on the detection results is greater. The parts can affect the results of object detection, some important parts may directly determine the accuracy of the results, and some unimportant parts even produce bad impacts. To reduce the adverse effects caused by unimportant part filter, we add an adaptive coefficient strategy to the traditional method, which could improve the accuracy of object detection without efficiency loss. The proposed algorithm is better in accuracy compared with the traditional deformable part model, especially in the case of occlusion, with the same efficiency.
{"title":"Adaptive Weighted Deformable Part Model for Object Detection","authors":"Yan Wang, Zhixun Su, Jiaxin Gao","doi":"10.1109/ICDH.2018.00021","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00021","url":null,"abstract":"We describe an adaptive weighted deformable part model for object detection based on traditional deformable part model(DPM). In the original DPM model, we find that the high response score region calculated by the template filter as high-energy regions, which indicates that the influence on the detection results is greater. The parts can affect the results of object detection, some important parts may directly determine the accuracy of the results, and some unimportant parts even produce bad impacts. To reduce the adverse effects caused by unimportant part filter, we add an adaptive coefficient strategy to the traditional method, which could improve the accuracy of object detection without efficiency loss. The proposed algorithm is better in accuracy compared with the traditional deformable part model, especially in the case of occlusion, with the same efficiency.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114292227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emergence of civil-use depth sensors made vision-based man-machine interaction possible through hand gesture, which relies fundamentally on hand pose estimation techniques. In this work, a novel hand pose estimation method is proposed, based essentially on Fourier-descriptor-based indexing in a pre-built hand template library. The proposed method takes color-depth as input, extracts necessary hand information in preprocessing, and estimate hand pose through two stages, from rough to accurate. This proposed hand pose estimation method is simple and efficient; quantitative and qualitative evaluations exhibit its effectiveness.
{"title":"RGB-D Hand Pose Estimation Using Fourier Descriptor","authors":"Zihao Rong, Dehui Kong, Shaofan Wang, Baocai Yin","doi":"10.1109/ICDH.2018.00018","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00018","url":null,"abstract":"The emergence of civil-use depth sensors made vision-based man-machine interaction possible through hand gesture, which relies fundamentally on hand pose estimation techniques. In this work, a novel hand pose estimation method is proposed, based essentially on Fourier-descriptor-based indexing in a pre-built hand template library. The proposed method takes color-depth as input, extracts necessary hand information in preprocessing, and estimate hand pose through two stages, from rough to accurate. This proposed hand pose estimation method is simple and efficient; quantitative and qualitative evaluations exhibit its effectiveness.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115804058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a mesh simplification method with Sharp Feature based on a reverse interpolation loop subdivision (RILSP) is proposed. Combined with the treatment of extraordinary vertex in the improved butterfly subdivision, the loop subdivision mask is expanded, thereby improving the traditional loop subdivision algorithm into interpolation subdivision. The reverse operation of the interpolation loop subdivision is used to simplify the complex 3D mesh; a progressive mesh is generated by an initial mesh and a series of vertex offsets. The algorithm reduces the regular point relative reverse butterfly subdivision of compensation operation and greatly reduces simplification and reconstruction. Likewise, the reverse butterfly subdivision algorithm reduces the regular point compensation operation and greatly reduces simplification and reconstruction compared with the existing reverse loop subdivision by considering more control vertices. Furthermore, the edge point with respect to the center point is compensated by sacrificing a small amount of time to calculate the smaller vertex offset, this method gives high transmission speed and low offset. RILSP performs the loss-less and reversible simplification and reconstruction for the vertex compensation in reconstruction process. Compared to Luo's Reverse Butterfly Subdivision Process (RBSP), RILSP cancels the offsets compensation of even vertex in the update process of vertexes, and significantly increased speed of mesh simplification. Compared to Luo's Reverse Loop Subdivision Process (RLSP), RILSP's vertex offset error is obviously less. It faithfully resembles the shape of the original mesh well due to it considers more control vertexes (its mask of regular vertex concludes 14 vertexes). The experiments show that RILSP with sharp feature detection and implementation gets the better mesh quality and low offset compensation compared to above others simplification methods. In addition, in future, it can be applied to the large-scale point cloud model simplification and other fields.
{"title":"A New Triangle Mesh Simplification Method with Sharp Feature","authors":"Zhuo Shi, Kong Qian, Ke Yu, Xiaonan Luo","doi":"10.1109/ICDH.2018.00063","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00063","url":null,"abstract":"In this paper, a mesh simplification method with Sharp Feature based on a reverse interpolation loop subdivision (RILSP) is proposed. Combined with the treatment of extraordinary vertex in the improved butterfly subdivision, the loop subdivision mask is expanded, thereby improving the traditional loop subdivision algorithm into interpolation subdivision. The reverse operation of the interpolation loop subdivision is used to simplify the complex 3D mesh; a progressive mesh is generated by an initial mesh and a series of vertex offsets. The algorithm reduces the regular point relative reverse butterfly subdivision of compensation operation and greatly reduces simplification and reconstruction. Likewise, the reverse butterfly subdivision algorithm reduces the regular point compensation operation and greatly reduces simplification and reconstruction compared with the existing reverse loop subdivision by considering more control vertices. Furthermore, the edge point with respect to the center point is compensated by sacrificing a small amount of time to calculate the smaller vertex offset, this method gives high transmission speed and low offset. RILSP performs the loss-less and reversible simplification and reconstruction for the vertex compensation in reconstruction process. Compared to Luo's Reverse Butterfly Subdivision Process (RBSP), RILSP cancels the offsets compensation of even vertex in the update process of vertexes, and significantly increased speed of mesh simplification. Compared to Luo's Reverse Loop Subdivision Process (RLSP), RILSP's vertex offset error is obviously less. It faithfully resembles the shape of the original mesh well due to it considers more control vertexes (its mask of regular vertex concludes 14 vertexes). The experiments show that RILSP with sharp feature detection and implementation gets the better mesh quality and low offset compensation compared to above others simplification methods. In addition, in future, it can be applied to the large-scale point cloud model simplification and other fields.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116250072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study demonstrates a model for the prediction of active landslide displacement based on the extreme learning machine (ELM) with multiple factors. The particle swarm optimization (PSO) model is selected to optimize the parameters of ELM. Firstly, the landslide displacement sequence which has been monitored is divided into several components developed by the empirical mode decomposition (EMD). Secondly, from the analysis of the basic characteristics of a landslide, this research acquires a series of main influencing factors. Thirdly, each landslide displacement component respectively is predicting by the multi-factor PSO-ELM model. Then, all landslide displacement components are added up as the forecasting result. The model is first trained and then evaluated by using data from a case study of shuping landslide triggered by seasonal rainfall in China. Performance comparisons of EMD-PSO-ELM model with PSO-ELM model are presented. The experimental results illustrate that the multi-factor EMD-PSO-ELM model can efficiently measure the landslide displacement behavior.
{"title":"Prediction of Landslide Displacement Using EMD-PSO-ELM with Multiple Factors","authors":"Ying Zhu, Li Zhou, Honggao Deng, Xiao Nan","doi":"10.1109/ICDH.2018.00048","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00048","url":null,"abstract":"This study demonstrates a model for the prediction of active landslide displacement based on the extreme learning machine (ELM) with multiple factors. The particle swarm optimization (PSO) model is selected to optimize the parameters of ELM. Firstly, the landslide displacement sequence which has been monitored is divided into several components developed by the empirical mode decomposition (EMD). Secondly, from the analysis of the basic characteristics of a landslide, this research acquires a series of main influencing factors. Thirdly, each landslide displacement component respectively is predicting by the multi-factor PSO-ELM model. Then, all landslide displacement components are added up as the forecasting result. The model is first trained and then evaluated by using data from a case study of shuping landslide triggered by seasonal rainfall in China. Performance comparisons of EMD-PSO-ELM model with PSO-ELM model are presented. The experimental results illustrate that the multi-factor EMD-PSO-ELM model can efficiently measure the landslide displacement behavior.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuanfa Ji, Xizi Jia, Xiyan Sun, Suqing Yan, Sunyong Wu, Shouhua Wang, X. Gan
In the cycle slip detection and repair of satellite navigation and positioning, the Doppler observation is protected from the cycle slip, which can assist the carrier phase data for cycle slip detection. However, as the sampling rate decreases, the correlation between the errors of the epochs also decreases, and the cycle slip detection capability is significantly reduced. To solve this problem, the author proposes a method of detecting and repairing Doppler cycle slip for low sampling rate. The method first uses the Lagrange interpolation algorithm to interpolate the low sampling rate Doppler observations to the 1s sampling interval, and performs polynomial fitting on the interpolated values to obtain Doppler values with less noise. Finally, the Doppler value extrapolated by the polynomial fit is subtracted from the interpolated Doppler value to obtain the cycle slip value. The simulation example that using GPS data for solution analysis shows that the detection accuracy of the new method is about 3 times and 4 times higher than the 5s and 10s sampling interval of the traditional Doppler integration method, and the detection accuracy is increased by 20% and 30% respectively.
{"title":"Doppler Cycle Slip Detection and Repair of Low Sampling Rate","authors":"Yuanfa Ji, Xizi Jia, Xiyan Sun, Suqing Yan, Sunyong Wu, Shouhua Wang, X. Gan","doi":"10.1109/ICDH.2018.00028","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00028","url":null,"abstract":"In the cycle slip detection and repair of satellite navigation and positioning, the Doppler observation is protected from the cycle slip, which can assist the carrier phase data for cycle slip detection. However, as the sampling rate decreases, the correlation between the errors of the epochs also decreases, and the cycle slip detection capability is significantly reduced. To solve this problem, the author proposes a method of detecting and repairing Doppler cycle slip for low sampling rate. The method first uses the Lagrange interpolation algorithm to interpolate the low sampling rate Doppler observations to the 1s sampling interval, and performs polynomial fitting on the interpolated values to obtain Doppler values with less noise. Finally, the Doppler value extrapolated by the polynomial fit is subtracted from the interpolated Doppler value to obtain the cycle slip value. The simulation example that using GPS data for solution analysis shows that the detection accuracy of the new method is about 3 times and 4 times higher than the 5s and 10s sampling interval of the traditional Doppler integration method, and the detection accuracy is increased by 20% and 30% respectively.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"164 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126130805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Liu, Ruomei Wang, Y. Guan, Fan Zhou, Fuwei Zhang, Hang Su
Exercise simulation application is important to improve on the health and avoid the irreversible damage of human health. The application of sports health prediction software will be the characteristics of multi-users, and the calculation of human sports simulation will spend lots of time. Therefore, the concurrent optimization scheme of the platform is very important to guarantee the efficiency, usability and stability of multi-user platform. In this paper, a sports health prediction platform based on Client/Server architecture is reported, and a concurrent optimization scheme for this platform is designed and implemented. To solve this problem, a cluster on the server side is developed, a front-end server based on Nginx as a user access entry is built. Using the Spring Boot framework, human sports simulation model on back-end application servers is constructed, and Redis method is used to save information as simulation prediction results and users' preference clothing. The comparison results show that our method has better performances for the multi-user system. It is a suitable framework for the sports health simulation prediction application.
{"title":"Design and Implementation of Concurrent Optimization Schemes for Sports Health Prediction Platform","authors":"Yu Liu, Ruomei Wang, Y. Guan, Fan Zhou, Fuwei Zhang, Hang Su","doi":"10.1109/ICDH.2018.00044","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00044","url":null,"abstract":"Exercise simulation application is important to improve on the health and avoid the irreversible damage of human health. The application of sports health prediction software will be the characteristics of multi-users, and the calculation of human sports simulation will spend lots of time. Therefore, the concurrent optimization scheme of the platform is very important to guarantee the efficiency, usability and stability of multi-user platform. In this paper, a sports health prediction platform based on Client/Server architecture is reported, and a concurrent optimization scheme for this platform is designed and implemented. To solve this problem, a cluster on the server side is developed, a front-end server based on Nginx as a user access entry is built. Using the Spring Boot framework, human sports simulation model on back-end application servers is constructed, and Redis method is used to save information as simulation prediction results and users' preference clothing. The comparison results show that our method has better performances for the multi-user system. It is a suitable framework for the sports health simulation prediction application.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116749866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the characterization of stability regions for linear systems with multiple time-varying delays subject to actuator saturations through anti-windup strategies. In particular, the anti-windup synthesis considering both magnitude and rate limits of time-varying delays is addressed. Using the general sector condition and by quadratic Lyapunov functional, the stability conditions in linear matrix inequality (LMI) forms are presented. Hence, the estimation of the stability region is maximized by solving a convex optimization problem. At the end of the paper, numerical examples are shown to illustrate the effectiveness of the proposed methods and the trade-off between the size of the magnitude and rate limits of time-varying delays and the stability regions.
{"title":"Stability Analysis and Anti-windup Design for Multiple Time-Varying Delay Systems Subject to Actuator Saturation","authors":"Qian Zhang, Yilin Wu, Qiang Chen, Naizhou Wang","doi":"10.1109/ICDH.2018.00050","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00050","url":null,"abstract":"This paper investigates the characterization of stability regions for linear systems with multiple time-varying delays subject to actuator saturations through anti-windup strategies. In particular, the anti-windup synthesis considering both magnitude and rate limits of time-varying delays is addressed. Using the general sector condition and by quadratic Lyapunov functional, the stability conditions in linear matrix inequality (LMI) forms are presented. Hence, the estimation of the stability region is maximized by solving a convex optimization problem. At the end of the paper, numerical examples are shown to illustrate the effectiveness of the proposed methods and the trade-off between the size of the magnitude and rate limits of time-varying delays and the stability regions.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115230895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-09DOI: 10.1109/IWW-BCI.2018.8311483
Seong-Whan Lee, K. Müller
Implantable technologies have had major impacts in many medical fields such as cardiology (pacemakers, defibrillators, stents), sensory prosthesis (cochlear implant, retinal prosthesis) and treatment of diseases or impairments (Parkinson’s, diabetes). During the past decade revolutionary advances have entered the field of neuroscience/neurological disorders and their treatment (e.g. deep brain stimulators for Parkinson’s and seizure) and therapeutic treatments of limbs (upper and lower limb prosthesis). The cutting edge is the development of neuroprosthesis: namely building various interfaces to nerves, spinal cord and brain to control impaired limbs or prosthesis. This talk will review medical problems and exciting research opportunities for engineers to develop cutting edge technological solutions: MEMS electrodes, ultra low power VLSI circuits, wireless power and data transfer and power harvesting. While these technologies are essential, critical success will only come through complete integration of technology with the nervous system, and testing in vivo from animal models to humans. Two examples from our own will be discussed: neural prosthesis for control of prosthetic limb and bidirectional neural interface for nerves. Talk will conclude with the current status and challenges in the field of Brain Machine Interface.
{"title":"Welcome Message from the General Chairs","authors":"Seong-Whan Lee, K. Müller","doi":"10.1109/IWW-BCI.2018.8311483","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2018.8311483","url":null,"abstract":"Implantable technologies have had major impacts in many medical fields such as cardiology (pacemakers, defibrillators, stents), sensory prosthesis (cochlear implant, retinal prosthesis) and treatment of diseases or impairments (Parkinson’s, diabetes). During the past decade revolutionary advances have entered the field of neuroscience/neurological disorders and their treatment (e.g. deep brain stimulators for Parkinson’s and seizure) and therapeutic treatments of limbs (upper and lower limb prosthesis). The cutting edge is the development of neuroprosthesis: namely building various interfaces to nerves, spinal cord and brain to control impaired limbs or prosthesis. This talk will review medical problems and exciting research opportunities for engineers to develop cutting edge technological solutions: MEMS electrodes, ultra low power VLSI circuits, wireless power and data transfer and power harvesting. While these technologies are essential, critical success will only come through complete integration of technology with the nervous system, and testing in vivo from animal models to humans. Two examples from our own will be discussed: neural prosthesis for control of prosthetic limb and bidirectional neural interface for nerves. Talk will conclude with the current status and challenges in the field of Brain Machine Interface.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134432006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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