2018 IEEE International Conference on Electro/Information Technology (EIT)最新文献_第5页

Vital Signs Monitoring System in Cloud Environment 云环境下生命体征监测系统

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500304

Zakariya Alaseel, D. Debnath

引用次数: 4

Towards Objective Assessment of Movie Trailer Quality Using Human Electroencephalogram and Facial Recognition 基于人脑电图和人脸识别的电影预告片质量客观评价研究

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500283

Qing Wu, Wenbing Zhao, Tessadori Jacopo

{"title":"Towards Objective Assessment of Movie Trailer Quality Using Human Electroencephalogram and Facial Recognition","authors":"Qing Wu, Wenbing Zhao, Tessadori Jacopo","doi":"10.1109/EIT.2018.8500283","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500283","url":null,"abstract":"In this paper, we propose a novel framework to objectively evaluate the quality of movie trailers by fusing two sensing modalities: (1) Human Electroencephalogram (EEG), and (2) computer-vision based facial expression recognition. The EEG sensing data are acquired via a cap instrumented with a set of 4-channel EEG sensors from the OpenBCI Ganglion board. The facial expressions are captured while a user is watching a movie trailer using a regular webcam to help establish the context for EEG analysis. On their own, facial expressions reveal how engaged a user is while watching a movie trailer. Additionally, facial expression data help us identify situations where noises caused by muscle movement in EEG data. Using a shallow neural network, we classify facial expressions into two categories: positive and negative emotions. A quarter-central decision making strategy model is used to analyze EEG signals with a low pass filter activated by time stamp when large human movements are detected. A small human subject test showed that the adaptive analysis method can achieve higher accuracy than that obtained via EEG alone. Besides for movie trailer evaluation, this framework can be utilized in the future towards remote training evaluation, wearable device personalization, and assisting paralyzed people to communicate with others.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134429789","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

Fetal Electrocardiogram Recognition Using Multilayer Perceptron Neural Network 基于多层感知器神经网络的胎儿心电图识别

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500232

Boyang Wang, J. Saniie

引用次数: 0

Location Privacy Challenges in Spatial Crowdsourcing 空间众包中的位置隐私挑战

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500311

Raed Alharthi, Abdelnasser Banihani, Abdulrahman Alzahrani, A. Alshehri, Hani Alshahrani, Huirong Fu, Anyi Liu, Ye Zhu

引用次数: 5

Arc Flash Assessment: Two-Case Study of Public Service Facilities in Kalamazoo, Michigan 电弧闪光评估:密歇根州卡拉马祖市公共服务设施的两例研究

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500083

Ghassan A. Bilal, Haider Hashim, P. Gómez, I. Abdel-Qader, A. Al-Bayati

引用次数: 2

A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities 具有边缘和云计算能力的智能制造系统的数据转换适配器

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500153

Miguel Saez, Steven Lengieza, F. Maturana, K. Barton, D. Tilbury

{"title":"A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities","authors":"Miguel Saez, Steven Lengieza, F. Maturana, K. Barton, D. Tilbury","doi":"10.1109/EIT.2018.8500153","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500153","url":null,"abstract":"The manufacturing industry is constantly seeking novel solutions to improve productivity and gain a competitive advantage. Considering the large amount of data that manufacturing operations generate, the capability to make a smart decision is tied to the ability to process plant floor data gaining insight into machine and system level performance. This work aims to bridge the gap between the plant floor operation and “Big Data” analysis solutions to help improve manufacturing productivity, quality, and sustainability. The proposed framework incorporates three main elements: data sourcing, analysis, and visualization. The combination of these aspects lays the groundwork for processing large amounts of data on a multi-layer infrastructure that leverages both edge and cloud computing. The data processing framework was tested using a manufacturing testbed with with machines, robots, conveyors, and different types of sensors to replicate the diverse data sources in a manufacturing plant. The data processing infrastructure was used to monitor machine health, detect anomalies, and evaluate throughput.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"342 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120981308","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: 4

A Novel Pedestrian Detection Method Based on Combination of LBP, HOG, and Haar-Like Features 基于LBP、HOG和Haar-Like特征相结合的行人检测方法

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500235

Mina Etehadi Abari

{"title":"A Novel Pedestrian Detection Method Based on Combination of LBP, HOG, and Haar-Like Features","authors":"Mina Etehadi Abari","doi":"10.1109/EIT.2018.8500235","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500235","url":null,"abstract":"The existing pedestrian detection methods are still challenging under abrupt illumination, different human shape, and cluttered backgrounds. In this contribution, we suggest a novel method to handle the above detection failures. On account of the fact that the potential of features are different and a single feature cannot extract the comprehensive information and human appearance can be better acquired by combinations of efficacious features, we combine HOG, LBP, and Haar-like features. Thus, the proposed method contains the edge, texture information, and local shape information. It should be mentioned that there has not been a method based on combination of these three features yet. After feature combination, linear SVM classifier is used to detect pedestrian images from nonpedestrian. In experiments, INRIA dataset, Daimler dataset, and ETH dataset are adopted as the training and testing sets. Each dataset was recorded in various environments, resolution, and background occlusion. As a result, employing three various datasets can help not only further enrich our data but also scrutinize the robustness and precision of the proposed method in more depth. The substantial experimental result indicated that the proposed scheme outperformed the state of the art methods in terms of the accuracy with comparable computational time.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114298621","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: 2

Image Zooming Using Corner Matching 使用角匹配图像缩放

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500290

R. Marsh, M. N. Amin, C. Crandall, Raymond Davis

{"title":"Image Zooming Using Corner Matching","authors":"R. Marsh, M. N. Amin, C. Crandall, Raymond Davis","doi":"10.1109/EIT.2018.8500290","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500290","url":null,"abstract":"This work was intended to direct the choice of an image interpolation/zoom algorithm for use in UND's Open Prototype for Educational Nanosats (OPEN) satellite program. Whether intended for a space-borne platform or a balloon-borne platform, we expect to use a low cost camera (Raspberry Pi) and expect to have very limited bandwidth for image transmission. However, the technique developed could be used for any imaging application. The approach developed analyzes overlapping $3times 3$ blocks of pixels looking for “L” patterns that suggest the center pixel should be changed such that a triangle pattern results. We compare this approach against different types of single-frame image interpolation algorithms, such as zero-order-hold (ZOH), bilinear, bicubic, and the directional cubic convolution interpolation (DCCI) approach. We use the peak signal-to-noise ratio (PSNR) and mean squared error (MSE) as the primary means of comparison. In all but one of the test cases the proposed method resulted in a lower MSE and higher PSNR than the other methods. Meaning this method results in a more accurate image after zooming than the other methods.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114249541","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: 3

User Identification System Using Biometrics Speaker Recognition by MFCC and DTW Along with Signal Processing Package 基于MFCC和DTW及信号处理包的语音识别系统

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500256

Tazwar Muttaqi, S. Mousavinezhad, S. Mahamud

引用次数: 7

Development of a Piano Frequency Detecting System Using the Goertzel Algorithm 基于Goertzel算法的钢琴频率检测系统的研制

2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-03 DOI: 10.1109/EIT.2018.8500220

Jean Jiang, R. Brewer, Ryan Jakubowski, Li Tan

引用次数: 2