arXiv: Signal Processing最新文献_第7页

Development of a skateboarding trick classifier using accelerometry and machine learning 使用加速度计和机器学习的滑板技巧分类器的开发

arXiv: Signal Processing Pub Date : 2017-10-01 DOI: 10.1590/2446-4740.04717

Nicholas Corrêa, Julio Cesar Marques de Lima, T. Russomano, M. A. D. Santos

{"title":"Development of a skateboarding trick classifier using accelerometry and machine learning","authors":"Nicholas Corrêa, Julio Cesar Marques de Lima, T. Russomano, M. A. D. Santos","doi":"10.1590/2446-4740.04717","DOIUrl":"https://doi.org/10.1590/2446-4740.04717","url":null,"abstract":"Introduction: Skateboarding is one of the most popular cultures in Brazil, with more than 8.5 million skateboarders. Nowadays, the discipline of street skating has gained recognition among other more classical sports and awaits its debut at the Tokyo 2020 Summer Olympic Games. This study aimed to explore the state-of-the-art for inertial measurement unit (IMU) use in skateboarding trick detection, and to develop new classification methods using supervised machine learning and artificial neural networks (ANN). Methods: State-of-the-art knowledge regarding motion detection in skateboarding was used to generate 543 artificial acceleration signals through signal modeling, corresponding to 181 flat ground tricks divided into five classes (NOLLIE, NSHOV, FLIP, SHOV, OLLIE). The classifier consisted of a multilayer feed-forward neural network created with three layers and a supervised learning algorithm (backpropagation). Results: The use of ANNs trained specifically for each measured axis of acceleration resulted in error percentages inferior to 0.05%, with a computational efficiency that makes real-time application possible. Conclusion: Machine learning can be a useful technique for classifying skateboarding flat ground tricks, assuming that the classifiers are properly constructed and trained, and the acceleration signals are preprocessed correctly.","PeriodicalId":8487,"journal":{"name":"arXiv: Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77145887","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}

引用次数: 14

Pressure Loss and Sound Generated In a Miniature Pig Airway Tree Model 小型猪气道树模型中产生的压力损失和声音

arXiv: Signal Processing Pub Date : 2017-09-12 DOI: 10.15406/jabb.2017.03.00086

M. K. Azad, Amirtahà Taebi, Joseph H Mansy, H. Mansy

{"title":"Pressure Loss and Sound Generated In a Miniature Pig Airway Tree Model","authors":"M. K. Azad, Amirtahà Taebi, Joseph H Mansy, H. Mansy","doi":"10.15406/jabb.2017.03.00086","DOIUrl":"https://doi.org/10.15406/jabb.2017.03.00086","url":null,"abstract":"Background: Pulmonary auscultation is a common tool for diagnosing various respiratory diseases. Previous studies have documented many details of pulmonary sounds in humans. However, information on sound generation and pressure loss inside animal airways is scarce. Since the morphology of animal airways can be significantly different from human, the characteristics of pulmonary sounds and pressure loss inside animal airways can be different. Objective: The objective of this study is to investigate the sound and static pressure loss measured at the trachea of a miniature pig airway tree model based on the geometric details extracted from physical measurements. Methods: In the current study, static pressure loss and sound generation measured in the trachea was documented at different flow rates of a miniature pig airway tree. Results: Results showed that the static pressure and the amplitude of the recorded sound at the trachea increased as the flow rate increased. The dominant frequency was found to be around 1840-1870 Hz for flow rates of 0.2-0.55 lit/s. Conclusion: The results suggested that the dominant frequency of the measured sounds remained similar for flow rates from 0.20 to 0.55 lit/s. Further investigation is needed to study sound generation under different inlet flow and pulsatile flow conditions.","PeriodicalId":8487,"journal":{"name":"arXiv: Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84089898","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}

引用次数: 0

An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications 航空通信中L-DACS1的高效数据辅助同步

arXiv: Signal Processing Pub Date : 2017-05-25 DOI: 10.1145/3089871.3089892

T. Pham, A. P. Vinod, A. Madhukumar

{"title":"An Efficient Data-aided Synchronization in L-DACS1 for Aeronautical Communications","authors":"T. Pham, A. P. Vinod, A. Madhukumar","doi":"10.1145/3089871.3089892","DOIUrl":"https://doi.org/10.1145/3089871.3089892","url":null,"abstract":"L-band Digital Aeronautical Communication System type-1 (L-DACS1) is an emerging standard that aims at enhancing air traffic management (ATM) by transitioning the traditional analog aeronautical communication systems to the superior and highly efficient digital domain. L-DACS1 employs modern and efficient orthogonal frequency division multiplexing (OFDM) modulation technique to achieve more efficient and higher data rate in comparison to the existing aeronautical communication systems. However, the performance of OFDM systems is very sensitive to synchronization errors. L-DACS1 transmission is in the L-band aeronautical channels that suffer from large interference and large Doppler shifts, which makes the synchronization for L-DACS more challenging. This paper proposes a novel computationally efficient synchronization method for L-DACS1 systems that offers robust performance. Through simulation, the proposed method is shown to provide accurate symbol timing offset (STO) estimation as well as fractional carrier frequency offset (CFO) estimation in a range of aeronautical channels. In particular, it can yield excellent synchronization performance in the face of a large carrier frequency offset.","PeriodicalId":8487,"journal":{"name":"arXiv: Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90240658","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}

引用次数: 5

Improved linear direct solution for asynchronous radio network localization (RNL) 异步无线网络定位(RNL)的改进线性直接解

arXiv: Signal Processing Pub Date : 2017-05-04 DOI: 10.33012/2017.15036

J. Sidorenko, N. Scherer-Negenborn, Michael Arens, E. Michaelsen

引用次数: 6

Hand Gesture Recognition Using Ultrasonic Waves 使用超声波的手势识别

arXiv: Signal Processing Pub Date : 2017-03-17 DOI: 10.25781/KAUST-6S4B0

M. Alsharif, M. Saad, T. Al-Naffouri

引用次数: 3

Practical Solutions for 400 Gbit/s Data Center Transmission 400gbit /s数据中心传输的实用解决方案

arXiv: Signal Processing Pub Date : 2016-11-02 DOI: 10.1364/ACPC.2016.AS1B.3

A. Dochhan, Nicklas Eiselt, Jinlong Wei, H. Griesser, M. Eiselt, J. Olmos, I. Monroy, J. Elbers