2011 4th International Conference on Mechatronics (ICOM)最新文献_第8页

Electromygraphy (EMG) signal based hand gesture recognition using artificial neural network (ANN) 基于肌电图信号的人工神经网络手势识别

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937135

M. R. Ahsan, M. Ibrahimy, Othman Omran Khalifa

{"title":"Electromygraphy (EMG) signal based hand gesture recognition using artificial neural network (ANN)","authors":"M. R. Ahsan, M. Ibrahimy, Othman Omran Khalifa","doi":"10.1109/ICOM.2011.5937135","DOIUrl":"https://doi.org/10.1109/ICOM.2011.5937135","url":null,"abstract":"Electromyography (EMG) signal is a measure of muscles' electrical activity and usually represented as a function of time, defined in terms of amplitude, frequency and phase. This biosignal can be employed in various applications including diagnoses of neuromuscular diseases, controlling assistive devices like prosthetic/orthotic devices, controlling machines, robots, computer etc. EMG signal based reliable and efficient hand gesture identification can help to develop good human computer interface which in turn will increase the quality of life of the disabled or aged people. The purpose of this paper is to describe the process of detecting different predefined hand gestures (left, right, up and down) using artificial neural network (ANN). ANNs are particularly useful for complex pattern recognition and classification tasks. The capability of learning from examples, the ability to reproduce arbitrary non-linear functions of input, and the highly parallel and regular structure of ANNs make them especially suitable for pattern recognition tasks. The EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. A back-propagation (BP) network with Levenberg-Marquardt training algorithm has been used for the detection of gesture. The conventional and most effective time and time-frequency based features (namely MAV, RMS, VAR, SD, ZC, SSC and WL) have been chosen to train the neural network.","PeriodicalId":376337,"journal":{"name":"2011 4th International Conference on Mechatronics (ICOM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753015","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: 134

Vibration based energy harvesting using piezoelectric material 基于振动的压电材料能量收集

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937182

M. Fakhzan, A. Muthalif

引用次数: 22

Geometrical analysis on BIOLOID humanoid system standing on single leg 单腿站立仿生仿生系统的几何分析

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937193

M. Akhtaruzzaman, A. Shafie

引用次数: 18

Modeling and simulation of trajectory for a nonholonomic car-like mobile platform 非完整类车移动平台的轨迹建模与仿真

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937175

Z. Said, K. Sundaraj

引用次数: 3

New automobile monitoring and tracking model: Facilitate model with handhelds 新的汽车监控和跟踪模型:手持方便模型

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937137

S. Hameed, Shaima Abdulla, M. Ershad, Fauzan Zahudi, Aisha Hassan

{"title":"New automobile monitoring and tracking model: Facilitate model with handhelds","authors":"S. Hameed, Shaima Abdulla, M. Ershad, Fauzan Zahudi, Aisha Hassan","doi":"10.1109/ICOM.2011.5937137","DOIUrl":"https://doi.org/10.1109/ICOM.2011.5937137","url":null,"abstract":"One of the clear facts in the world is the increasing number of cars and other automobiles in term of production as well as theft attempts. There is a big effort done by many international and local companies to produce car security systems, but the result is still less than expectations since the number of car theft cases are still increases. The thieves are developing their capabilities and inventing smarter and stronger stealing techniques which require more powerful security systems. This research project proposes an Automobile Monitoring and Tracking Model to solve this issue. It introduces a powerful security model that can send SMS and MMS to the owner to have fast response especially if the car is nearby. This paper focuses on using MMS and database technology, the picture of the intruder will be sent to user or police. The Database offers the required information about car and owner, which will help police or security authorities in tracking the car using GPS system that can be link to Google Earth and other mapping software. The implementation and testing results show the success of prototype in sending MMS to owner within 40 seconds and receiving acknowledgment to the database (police or security unit) within 3–4 minutes. The timing and results are suitable to owner and police to take suitable action against intruder.","PeriodicalId":376337,"journal":{"name":"2011 4th International Conference on Mechatronics (ICOM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122565001","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: 7

A Parallel Duplicate Address Detection (PDAD) mechanism to reduce handoff latency of Mobile Internet Protocol version 6 (MIPv6) 一种减少MIPv6切换延迟的并行重复地址检测(PDAD)机制

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937128

M. H. Masud, F. Anwar, O. Mohamed, S. Bari, A. Salami

{"title":"A Parallel Duplicate Address Detection (PDAD) mechanism to reduce handoff latency of Mobile Internet Protocol version 6 (MIPv6)","authors":"M. H. Masud, F. Anwar, O. Mohamed, S. Bari, A. Salami","doi":"10.1109/ICOM.2011.5937128","DOIUrl":"https://doi.org/10.1109/ICOM.2011.5937128","url":null,"abstract":"Next Generation Networks (NGN) are envisioned to be fully Internet Protocol (IP) based so that users can experience high quality and ubiquitous communication. In order to realize this, Internet Engineering Task Force (IETF) is taking advantage of Mobile Internet Protocol version 6 (MIPv6) because it has more suitable features than MIPv4. However, MIPv6 is not widely deployed due to handoff latency and other limitations. This causes packet loss and degrades the Quality of Service (QoS) for real-time applications. MIPv6 handoff latency includes link layer establishment delay, movement delay, address auto-configuration delay and binding update/registration delay. Duplicate Address Detection (DAD) is performed during address auto-configuration which takes around 70% of the time for the total handoff procedures. In order to reduce this handoff latency, a Parallel DAD (PDAD) model is proposed for reducing packet loss. The key idea behind this model is that a Mobile Node (MN) solicits for a router advertisement (RA) in parallel to its neighbor routers before leaving the previous point of attachment.","PeriodicalId":376337,"journal":{"name":"2011 4th International Conference on Mechatronics (ICOM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125359825","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: 13

Parameter identification of an autonomous quadrotor 自主四旋翼飞行器参数辨识

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937198

N. Abas, A. Legowo, Rini Akmeliawati

引用次数: 47

EEG signal classification for real-time brain-computer interface applications: A review 实时脑机接口的脑电信号分类研究进展

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937154

A. Khorshidtalab, M. Salami

引用次数: 42

Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network 基于快速傅里叶变换和复值神经网络的医学水印图像变化检测

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937131

R. F. Olanrewaju, Othman Omran Khalifa, A. Abdulla, A. Khedher

引用次数: 4

A star path following mobile robot 跟随移动机器人的星径

2011 4th International Conference on Mechatronics (ICOM) Pub Date : 2011-05-17 DOI: 10.1109/ICOM.2011.5937169

Wong Yuen Loong, Liew Zhen Long, L. Hun

引用次数: 26