Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy

Lenin, A. Haiter; Vasanthi, S.; Jayasree, T.

doi:10.2991/ijcis.d.200724.001

Cited by 14 publications

(16 citation statements)

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“…Every millisecond a packet travels from the sender to the receiver is counted as an end-to-end delay (ms). The above figure illustrates that the proposed BAO algorithm has a low end-toend delay compared to other existing protocols [25][26][27][28] such as the routing protocol for low-power networks (RPL), the connecting tree protocol (CTP), and the applicationspecific routing protocol for healthcare (ASRPH).…”

Section: Resultsmentioning

confidence: 99%

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Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications

Refaee

Parveen

Begum

et al. 2022

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) has impacted various aspects of life, but its profound effects on the health sector are particularly striking because of its cutting-edge nature. Mobile computing characteristics enable IoT to play a more important role when used with mobile computing. A significant part of the benefits of IoT in healthcare can be attributed to mobile health, which is greatly enhanced by mobile computing. Wearables transmit large amounts of data to IoT devices through sensors, actuators, and transceivers. Threats, attacks, and vulnerabilities abound for data on the Internet of Things. Therefore, addressing IoT-related security, privacy, and vulnerability issues call for a robust security solution. This paper proposes a secure and scalable healthcare data transmission framework in IoT based on an optimized routing protocol. Initially, the health data is collected from various IoT devices like wearable devices and sensors. The raw data is preprocessed via data cleaning and data reduction techniques. K-nearest neighbor (KNN) imputation is performed and principal component analysis (PCA) is employed for dimension reduction of the data. Utilizing modified local binary patterns (MLBP), the features are extracted from the preprocessed data. By combining the fuzzy dynamic trust-based RPL algorithm with the butter ant optimization (BAO) algorithm for low-power and lossy networks, the proposed fuzzy dynamic trust-based RPL (FDT-RPL) protocol improves the overall security of data transmission. The algorithm has been implemented for a smart healthcare system, and the performance is analyzed by comparing it with traditional approaches. The proposed routing protocol provided a secure and scalable healthcare data transmission.

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Section: Resultsmentioning

confidence: 99%

“…RPL [26] CTP [27] ASRPH [28] FDT-RPL+BAOA [Proposed] The forward ants characterize the movement of a new location as follows: Upon reaching their target, advancing ants transform into backward ones and vice versa. This is why backward ants use the memories of their advanced ants to choose the best route.…”

Section: Fuzzy Dynamic Trust-based Rpl Routing Protocolmentioning

confidence: 99%

Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications

Refaee

Parveen

Begum

et al. 2022

Wireless Communications and Mobile Computing

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show abstract

“…To circumvent this, the MP layer should label the low-quality link as inactive, and no packets should be scheduled to inactive pathways. In addition, if the communication quality via that way improves, the presently inactive path should be reactivated [32,33].…”

Section: Resultsmentioning

confidence: 99%

A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications

Kumarganesh¹,

Anthoniraj

Kumar³

et al. 2022

Journal of Mathematics

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Due to bandwidth and time limits, delivering high-quality video streaming facility offers real-time wireless networks, but assuring quality of experience (QoE) is rather difficult. A network host can deliver its data stream via numerous different network pathways. At the same time, using multipath data transmission, where video streaming may be supplied through Internet protocols (IPs) as well as broadband with bidirectional communication between video sources and consumers, is one way to address this difficult problem. In this work, a novel framework is developed for wireless heterogeneous networks for video streaming applications using concurrent multipath transfer (CMT). The performance of frame-level delay can be enhanced for better video quality using this proposed method. The network congestion on end-to-end path utilised in CMT is not dependent of one another, and we operate under prior assumption that receiver’s announced window does not limit the sender. The analytical results show that the proposed framework outperforms existing methods in terms of performance with minimum retransmission delay.

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“…In addition, lifting wavelet transform and DTCWT are used to extract the important attributes of the signal, and neural networks, support vector machine, and other algorithms are used to construct multiple classifiers. The calculation results of the test data set show that the improved algorithm can effectively optimize the recognition performance of the system for EMG signals [8]. Wang et al believed that early detection and treatment of breast cancer can reduce the mortality of breast cancer, but the existing microcalcification feature extraction methods can only successfully extract features under certain specific conditions, and cannot accurately express all the information of the target region.…”

Section: Related Workmentioning

confidence: 99%

Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction

Wei

2022

Journal of Applied Mathematics

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The precision of the traditional satellite remote sensing image denoising model cannot deal well with some precise production scenes. To solve this problem, this research proposes an improved remote sensing image processing model, in which the dual tree complex wavelet transform (DTCWT) method is used to conduct multiscale decomposition of the impact, and the fourth-order differential equation is used to denoise the decomposed complex high-frequency subband information, and then the denoised subbands are reconstructed into the denoised image. Through these two advanced signal-processing methods, the quality of reconstructed signals is improved and the noise content of various types is greatly reduced. The experimental results show that the normalized root mean square error of the denoising model designed in this study after training convergence is 0.02. When the noise variance is 0.030, the structure similarity, peak signal to noise ratio, and normalized signal to noise ratio are 0.74, 25.3, and 0.76, respectively, which are better than all other comparison models. The experimental data prove that the satellite remote sensing image data denoising model designed in this study has better denoising performance, and has certain application potential in high-precision satellite remote sensing image big data processing.

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Automated Recognition of Hand Grasps Using Electromyography Signal Based on LWT and DTCWT of Wavelet Energy

Cited by 14 publications

References 0 publications

Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications

Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications

A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications

Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction

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