2015 International Conference on Emerging Technologies (ICET)最新文献_第5页

Facial expression recognition using two-tier classification and its application to smart home automation system 基于双层分类的面部表情识别及其在智能家居自动化系统中的应用

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389223

Sunder Ali Khowaja, K. Dahri, Muhammad Aslam Kumbhar, Altaf Mazhar Soomro

{"title":"Facial expression recognition using two-tier classification and its application to smart home automation system","authors":"Sunder Ali Khowaja, K. Dahri, Muhammad Aslam Kumbhar, Altaf Mazhar Soomro","doi":"10.1109/ICET.2015.7389223","DOIUrl":"https://doi.org/10.1109/ICET.2015.7389223","url":null,"abstract":"With the convergence of smart technologies and advancement in electronic equipment the concept of smart home system swiftly escalates. The idea is to automate the home appliances according to the user requirements without human intervention. After a long tiring day and heavy workloads user will not be in a state of taking out its mobile phone and pressing the buttons for controlling home appliances. Several methods have been proposed in the design of such systems using sensors, biometrics and face detection. This paper proposes a method for detecting human emotions by taking into account the complete facial analysis, suggesting that the emotions can accurately be determined by analyzing eyes, nose and lips separately hence covering a wide range of emotions. The classification is carried out by acquiring the image of user followed by the face detection and segmenting the region of interests (ROI) i.e. eyes, nose and lips for further analysis of emotions. Principle Component Analysis (PCA) along with feature extraction techniques and Support Vector Machines (SVMs) are used for classification of emotion for the said automation system. Policies have been implemented in Java to simulate the home automation environment for testing and validation. At the instant this system has been tested on a single user with 4 basic emotions i.e. sad, anger, happiness and neutral, but this study can be a basis to develop an automated system with variety of emotions for multiple users.","PeriodicalId":166507,"journal":{"name":"2015 International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122119795","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: 17

Spectrum analysis of physiological signals of human activities 人类活动生理信号的频谱分析

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389197

S. A. Kazmi, Sheroz Khan, Othman Omran Khalifa, M. Shah

{"title":"Spectrum analysis of physiological signals of human activities","authors":"S. A. Kazmi, Sheroz Khan, Othman Omran Khalifa, M. Shah","doi":"10.1109/ICET.2015.7389197","DOIUrl":"https://doi.org/10.1109/ICET.2015.7389197","url":null,"abstract":"This paper investigates the impact of physiological maneuvers on the frequency component of photoplethysmograpy signal. Here, we have taken four different physiological states of sitting, standing, jogging and laying. Two groups of 5 to 10 healthy volunteers males and females are formed. The PPG signal acquisition is performed by Easy Pulse analyzer sensor module. Each sample for each state was taken for one-minute duration at stopwatch keeping the consolidated state of volunteer prior to fetching of PPG signal. The Easy pulse analyzer module implicates the pulse oximetry working principle and get the signal from the finger tip of subjects, which determines the oxygen saturation in blood and passes the signal by the optical sensor via a sequential high and low pass op-amp filters and ultimately produces the conditioned PPG signal. The interfacing between the easy pulse analyzer and computing machine was done with the help of Arduino processing board. The Kubios HRV software was utilized in order to execute and manipulate PPG data (numerical values) samples in required format. The report sheet was generated which pertains the frequency and time domain paradigms and was analyzed for respective PPG signal according to the physiological conditions. The results for each data set among four physical states define the co-relation between the physical state and corresponding PPG signal. Moreover, the variation in frequency components is observed during the change in physiological condition.","PeriodicalId":166507,"journal":{"name":"2015 International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036418","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: 1

Fault tolerant speed regulation of Induction Motor using Artifical Neural Network 基于人工神经网络的异步电动机容错调速

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389221

K. Zeb, Farhana, C. A. Mehmood, B. Khan, S. M. Ali, Ayesha, A. Jadoon, W. Uddin

引用次数: 3

Implementation of Content Centric Networks through Domain Name System 通过域名系统实现内容中心网络

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389212

Sarmad Ullah Khan, Rafiullah Khan, A. Ali

引用次数: 1

H2 and H∞ optimal control of coordinated fingers movement 手指协调运动的H2和H∞最优控制

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389196

Maryam Iqbal, A. Mahmood

引用次数: 7

Intelligent Feedback Linearization based adaptive control paradigm for damping power system oscillations 基于智能反馈线性化的自适应控制模式阻尼电力系统振荡

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389180

Saghir Ahmad, L. Khan

引用次数: 0

Analyzing the relationship between route stability and calculation methods of routing metrics 分析了路由稳定性与路由度量的计算方法之间的关系

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389225

J. Muhammad, S. Mahmud

引用次数: 0

Modelling the energy efficiency of Heterogeneous Cloud Radio Access Networks 异构云无线接入网络的能量效率建模

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389165

R. Alhumaima, M. Khan, H. Al-Raweshidy

引用次数: 7

Managing traffic-light-duration by exploiting smart antenna technology (MATSAT) for coordinated multiple-intersections (CMI) 利用智能天线技术(MATSAT)管理协调多路口(CMI)的红绿灯持续时间

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389226

A. Joyo, Kaziq Yaqub, N. Madamopoulos

引用次数: 2

Social interest-based routing in Delay tolerant networks 延迟容忍网络中基于社会兴趣的路由

2015 International Conference on Emerging Technologies (ICET) Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389215

F. Naeem, S. Mahmud, M. H. Zafar

引用次数: 4