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Study of the relevance of gender in the classification of hand gestures by electromyography-based recognition systems

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Research on Biomedical Engineering 2021年第2期37卷 361-373页

作者： Freitas, Melissa La Banca Junior, Jose Jair Alves Mendes La Banca, Wesley Freitas Stevan, Sergio Luiz Graduate Program in Electrical Engineering Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil Department of Electronics Federal University of Technology – Paraná CuritibaParaná80230-901 Brazil Mechanical Engineering Department Federal University of Technology – Paraná Ponta GrossaParaná84016-210 Brazil

Purpose: Some factors such as gender, age, physical fitness, and manual dominance are relevant and can influence the recognition of movement patterns using electromyography (EMG). In this scenario, we present an EMG signal analysis for men and women to observe if there is any significant difference. Methods: Data from 10 men and 10 women were acquired during the execution of six hand gestures (wrist flexion, wrist extension, wrist flexion to left, wrist extension to right, supination, and pronation) using eight channels armband. Four EMG time-domain signal features were extracted and hand gestures were classified using linear and quadratic discriminant analysis (LDA, QDA), and k-nearest neighbors (KNN) algorithms. Results: Data of the feature difference absolute standard deviation value (DASDV) and waveform length (WL) were analyzed based on polar and bar graphs. KNN with 1 nearest neighbor obtained the best results between the classifiers for both men and women. For statistical analyses, the Wilcoxon-Mann-Whitney and Tukey post hoc in Friedman tests were used. The results show that there is no significant difference between data from different genders. Conclusion: After analyzing the results obtained and extensive comparison with related works, it was concluded that, for the conditions where the electrodes are positioned equidistantly, evaluating all the muscular groups of a limb (armband format), there was no significant difference observed between the data from different genders. In addition, this allows us to conclude that EMG armband on the forearm can be a good option for robotic systems control without the need for prior gender adjustment. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： Biomedical signal processing

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Hybrid Model Approaches Toward Movie Recommendation Systems and Their Comparisons

Hybrid Model Approaches Toward Movie Recommendation Systems ...

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Parikh, Jolly Antony, Saji M. Jain, Rachna Chawla, Naman Mishra, Ashish de Albuquerque, Victor Hugo C. Neto, Aloísio Vieira Lira Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering New Delhi India Department of Electronics and Communication Engineering Bharati Vidyapeeth’s College of Engineering New Delhi India Department of Information Technology Bhagwan Parshuram Institute of Technology New Delhi India Department of Computer Science and Engineering Bhagwan Parshuram Institute of Technology New Delhi India Department of CSE Gyan Ganga Institute of Technology and Sciences Madhya Pradesh Jabalpur India Federal Institute of Education Science and Technology of Ceara Fortaleza Brazil Federal University of Ceará Fortaleza Ceará Fortaleza Brazil Graduation Program in Telecommunication Engineering Federal University of Ceará Fortaleza Ceará Fortaleza Brazil

ISBN: (纸本)9789819965465

In the contemporary digital era, individuals face an overwhelming challenge of searching for personalized content from a seemingly infinite pool of available options such as books, videos, articles, and movies. Simultaneously, digital content providers strive to attract and retain as many users on their platforms as possible for extended periods. This has led to the evolution of recommender systems, which aim to enhance user engagement and satisfaction by recommending content based on their preferences and interests. These systems employ sophisticated algorithms and data mining techniques to analyze user behavior and feedback, enabling them to make personalized recommendations to users, thereby improving their overall experience. In this paper, an investigation is conducted in which different models in machine learning with their combinations are evaluated to evaluate which model could give the best accuracy with actual ratings given by users. The models used are Lasso regression, XGBoost, K-nearest neighbor, surprise baseline only, SVD, SVDpp, and their combinations. The proposed ensembled model of XGBoost + surprise baseline + surprise KNN baseline + SVD + SVDpp, with the minimum value of RMSE as 1.111410 and MAPE value as 39.261054, is our best model and can serve as a reference for any future recommender system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Singular value decomposition

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Classification of Human Tactile Perception Using Vibration Data

Classification of Human Tactile Perception Using Vibration D...

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International Conference on Cyberworlds

作者： Hyung-Tak Lee Keungyonh Bak Sungwoo Chun Han-Jeong Hwang Dept. Electronics and Information Engineering Korea University Sejong Republic of Korea Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong Republic of Korea

ISBN: (数字)9798331527174

ISBN: (纸本)9798331527181

To enhance the sense of reality in the VR environment, it is essential to incorporate not only visual and hearing but also tactile feedback. Previous studies related to tactile sensation have only focused on object classification to identify the object in contact with the tactile sensor. When people encounter a new object, they can use tactile perception information, such as roughness, to understand the object’s attributes and functions. Therefore, for tactile research to be applicable in real-life scenarios, tactile perception classification is essential not only for classifying an object but also for recognizing its attributes and functions. This study aims to investigate the possibility of predicting roughness, one of the important human tactile perceptions, using deep learning models. We created 63 tactile samples, measured the vibration data of each sample using an acceleration sensor, and investigated how humans perceive the roughness of the tactile samples with five different levels. Object classification was performed using five deep learning models, among which the Shallow ConvNet achieved the highest performance, confirming its suitability as the most appropriate model for analyzing vibration data. Using the Shallow ConvNet, we attained a high accuracy of $\mathbf{9 8. 6} \pm \mathbf{5. 6 \%}$ for the identification of five levels of roughness, demonstrating that different levels of tactile perception information can be discriminated with high performance.

关键词： Vibrations Deep learning Solid modeling Analytical models Visualization Tactile sensors Virtual reality Vibration measurement Predictive models Data models

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Tuning of Carrier Envelope Offset Frequency in Octave-Spanning Si3N4 Microcomb

Tuning of Carrier Envelope Offset Frequency in Octave-Spanni...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Chin, Hsiao Hsuan Melton, Tristan Aldhafeeri, Alwaleed Rukh, Lala Colación, Gabriel M. Chen, Yujie Cheng, Xiang Chang, Kai-Chi Drake, Tara E. Wong, Chee Wei Mesoscopic Optics and Quantum Electronics Laboratory University of California Los AngelesCA90095 United States Optical Science & Engineering Program Center for High Technology Materials University of New Mexico 1313 Goddard SE AlbuquerqueNM87106 United States Dept. of Physics and Astronomy University of New Mexico AlbuquerqueNM87106 United States

We demonstrate the tuning of carrier envelope offset frequency in chip-scale micro-resonator and the effects on the spectrum, providing a pathway to f-2f stabilization. © Optica Publishing Group 2024

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Tuning of Carrier Envelope Offset Frequency in Octave-Spanning Si3N4 Microcomb

Tuning of Carrier Envelope Offset Frequency in Octave-Spanni...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

We demonstrate the tuning of carrier envelope offset frequency in chip-scale micro-resonator and the effects on the spectrum, providing a pathway to f-2f stabilization. CLEO 2024 © Optica Publishing Group 2024 &#... 详细信息

ISBN: (纸本)9781957171395

关键词： Laser tuning

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Quantum frequency mixing using an N-V diamond microscope

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Physical Review Applied 2024年第6期22卷 064051-064051页

作者： Samuel J. Karlson Pauli Kehayias Jennifer M. Schloss Andrew C. Maccabe Adam Libson David F. Phillips Guoqing Wang Paola Cappellaro Danielle A. Braje Massachusetts Institute of Technology (MIT) Lincoln Laboratory Lexington Massachusetts 02421 USA Department of Nuclear Science and Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Current affiliation: Quantum Science and Engineering Program Harvard University Cambridge Massachusetts 02138 USA. Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Wide-field magnetic microscopy using nitrogen-vacancy (N-V) centers in diamond can yield high-quality magnetic images of dc and ac magnetic fields. The unique combination of micron-scale spatial resolution of scalar or vector fields at room temperature and parallel camera readout make this an appealing technique for applications in biology, geology, condensed-matter physics, and electronics. However, while N-V magnetic microscopy has achieved great success in these areas, historically the accessible frequency range has been limited. In this paper, we overcome this limitation by implementing the recently developed technique of quantum frequency mixing. With this approach, we generate wide-field magnetic images of test structures driven by alternating currents up to 70 MHz, well outside the reach of dc and Rabi magnetometry methods. With further improvements, this approach could find utility in hyperspectral imaging for electronics power-spectrum analysis, electronics diagnostics and troubleshooting, and quantum computing hardware validation.

关键词： Quantum computers

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Single-pixel super-resolution with a space–time modulated computational metasurface imager

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Photonics Research 2024年第10期12卷 2311-2322页

作者： WENZHI LI JIARAN QI ANDREA ALU Department of Microwave Engineering School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbin 150001China Photonics Initiative Advanced Science Research CenterCity University of New YorkNew YorkNew York 10031USA Physics Program Graduate Center of the City University of New YorkNew YorkNew York 10016USA

Single-pixel imaging is a burgeoning computational imaging technique that utilizes a single detector devoid of spatial resolution to capture an image,offering great potential for creating cost-effective and simplified imaging ***,achieving super-resolution with a single pixel remains a formidable ***,we introduce a single-pixel super-resolution imaging technique based on space–time *** modulation parametrically mixes the incoming signals,enabling the space–time scattered signals of the object carrying finer details to be captured by the single-pixel imaging *** validate our proposed technique,we designed and fabricated a computational metasurface imager that needs only a single transmitting port and a single receiving *** achieved resolution surpasses the Abbe resolution *** principle of our proposed technique is well-suited for low-cost and compact imaging systems.

关键词： resolution utilize details

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ASIC-FPGA Gap for a RISC-V Core Implementation for DNN Applications 3

ASIC-FPGA Gap for a RISC-V Core Implementation for DNN Appli...

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3rd Novel Intelligent and Leading Emerging Sciences Conference, NILES 2021

作者： Hussein, Abdelrahman S. Mostafa, Hassan Cairo University Electronics and Communication Engineering Department Giza12613 Egypt University of Science and technology Nanotechnology and Nanoelectronics Program Zewail City of Science and Technology Giza12578 Egypt

ISBN: (纸本)9781665421577

Recently, an emerging instruction set called RISC-V has been considered a paradigm in the computer architecture domain, which has easily got the attention of the hardware community. This is because it is fully open-source, which opens wide horizons for development and innovation. As deep learning applications (DL) are becoming more common, it is very important to evaluate the processors' performance handling such tasks. In these lights, a RISC-V core performance executing a DL task is evaluated. Also, the gap between its ASIC and FPGA implementations is measured in terms of power and area. The main finding is that ASIC achieves better optimization in both aspects more than the FPGA. © 2021 IEEE.

关键词： Rockets

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Efficient HLS Implementation for Convolutional Neural Networks Accelerator on an SoC

Efficient HLS Implementation for Convolutional Neural Networ...

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2021 International Conference on Microelectronics, ICM 2021

作者： Sarg, Muhammad Khalil, Ahmed H. Mostafa, Hassan Cairo University Electronics and Communications Engineering Department Giza12613 Egypt University of Science and Technology Nanotechnology and Nanoelectronics Program Zewail City of Science and Technology Giza12578 Egypt

ISBN: (纸本)9781665408394

Convolutional Neural Networks (CNNs) have achieved high accuracy in many applications such as image recognition and classification. However, due to their large amount of parameters and intensive required operations, general purpose processors cannot achieve the desired inference performance levels. Recently, various hardware accelerators for deep CNNs have been carried out to enhance the throughput of CNNs. Among these accelerators, field programmable gate array (FPGA)-based ones have gained a lot of interest due to their high performance, low power consumption, high reconfigurability, and fast development cycle. Furthermore, the availability of high-level synthesis (HLS) tools lowers the programming burden and increases the productivity of the FPGA-based accelerator designers. In this paper, a C++ HLS implementation for FPGA-based accelerator for the convolutional layers of CNNs is proposed. As a case study, we evaluate the proposed accelerator using Resnet50 CNN on Xilinx Zynq UltraScale+ MPSoC ZCU104 evaluation board using SDSoC development environment, achieving up to 339x inference speedup. © 2021 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Integrating Noise Classification and Speech Enhancement Model for Hearing Aids 21

Integrating Noise Classification and Speech Enhancement Mode...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Hung, Ying-Hsiu Chang, Yen-Ching Lai, Shin-Chi Juang, Wen-Ho Sheu, Ming-Hwa Lee, Jeng-Dao National Yunlin University of Science and Technology Dept. Electronics Engineering Douliu Taiwan National Formosa University Doctoral Degree Program in Smart Industry Technology Research and Development Huwei Taiwan National Formosa University Dept. Automation Engineering Smart Machinery and Intelligent Manufacturing Research Center Huwei Taiwan National Formosa University Dept. Computer Science and Information Engineering Huwei Taiwan National Formosa University Dept. Automation Engineering Huwei Taiwan

ISBN: (纸本)9798350377088

As the global population ages, the number of elderly people needing hearing aids is increasing. This paper proposed an architecture designed to enhance speech based on noise conditions. After noise types are identified by a Convolutional Neural Network (CNN) noise classification model, these noise conditions are combined with the noisy speech and input into a conditional Generative Adversarial Network (cGAN) for speech enhancement. The CNN noise classification model achieves an average recognition accuracy of nearly 92%, with a Kappa value as high as 0.88. The cGAN speech enhancement achieves lower error values in the Mel-Cepstral Distortion (MCD) measure. Although some parts of the human voice may be filtered out, the results demonstrate the potential development of the proposed algorithm. © 2024 IEEE.

关键词： Generative adversarial networks

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