2019 International Conference on Robotics and Automation in Industry (ICRAI)最新文献_第4页

Low Cost 2D Laser Scanner Based Indoor Mapping and Classification System 基于低成本二维激光扫描仪的室内制图与分类系统

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967399

Riaz Syed, H. Amjad, Moazza Sultan, H. R. Khan

引用次数: 1

Bivariate Short-term Electric Power Forecasting using LSTM Network 基于LSTM网络的二元短期电力预测

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967378

Asim Zaheer UD DIN, Y. Ayaz, Momena Hasan, J. Khan, M. Salman

引用次数: 3

Optimal Energy Management of Hybrid Generating System for Laptop Manufacturing Industry 笔记本制造业混合发电系统的最优能量管理

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967372

M. Akbar, A. Mannan, M. Bhatti, N. Nawaz, Junaid Iqbal, Ghayyur Hussain

引用次数: 0

Rehabilitation Process of Upper Limbs Muscles through EMG Based Video Game 基于电子游戏的上肢肌电图康复过程

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967370

Rizwan Ullah Khan, Muhammad Waseem Tahir, M. Tiwana

{"title":"Rehabilitation Process of Upper Limbs Muscles through EMG Based Video Game","authors":"Rizwan Ullah Khan, Muhammad Waseem Tahir, M. Tiwana","doi":"10.1109/ICRAI47710.2019.8967370","DOIUrl":"https://doi.org/10.1109/ICRAI47710.2019.8967370","url":null,"abstract":"This paper presents a human-computer interface system using Electromyography (EMG) signals to design a computer-based video game that enhances the muscle strength and can be used for rehabilitation of fist, wrist or forearm muscles. This game encompasses the rehabilitation of the muscle in itself by asking the user to move the muscle and measure the potential difference generated due to action potential using MyoWare muscle sensors kit. This newly generated raw EMG signal is passed on to Arduino, which is interfaced with a computer through a Graphical User Interface (GUI) based computer game, coded and designed in MATLAB. The gaming console presents an interesting and enjoyable platform as a modern treatment approach for stroke rehabilitation and provides an opportunity to practice activities that are not or cannot be practiced within the clinical environment. It encourages a higher number of repetitions than traditional therapy tasks without the supervision of an expert. However, due to the higher computational delay of 2 to 5 seconds between two consecutive input operations, MATLAB is not suitable for creating a real-time virtual gaming environment. The primary objective of the paper is to design and evaluate the effects of an interactive video game environment for upper limb muscle rehabilitation. Secondary outcomes included process limitations and adverse events based on the current equipment and techniques used.","PeriodicalId":429384,"journal":{"name":"2019 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125956973","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

Qualitative & Quantitative Assessment of 3D Printing of Prostheses in Low Economic Setting 低经济环境下3D打印假肢的定性与定量评估

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967396

Syed Umer Abdi, W. Moussa, A. Qureshi

{"title":"Qualitative & Quantitative Assessment of 3D Printing of Prostheses in Low Economic Setting","authors":"Syed Umer Abdi, W. Moussa, A. Qureshi","doi":"10.1109/ICRAI47710.2019.8967396","DOIUrl":"https://doi.org/10.1109/ICRAI47710.2019.8967396","url":null,"abstract":"The applicability and cost effectiveness in prosthetic industry is monumental. Underdeveloped parts of the World are coping with challenges like poverty, lack of technology & expertise, natural & man-made disasters as well as conundrums of untapped explosive mines. In addition, people living in such areas are mainly associated with labour intensive professions working in small industries and agriculture lacking health & safety measures. Individuals exposed to such environment are often prone to accidents due to safety lapses & fatal diseases and need low-cost prosthetic devices due to amputation in order to rehabilitate, get back to work and live a better quality of life. The consideration of supply chain models, technology used in additive manufacturing, materials properties, cost & customer satisfaction is essential for optimizing the use of 3D printing & additive manufacturing in prosthesis in such parts of the World. The usage of novel techniques such as 3D Printing and conventional methods like Injection Molding and feasibility of providing optimum solution in terms of hybrid models while considering the advantages of availability, affordability and mass production of conventional techniques, and prototype development, simulation, customization and design freedom using 3D printing & additive manufacturing is qualitatively & quantitatively analyzed in this paper.","PeriodicalId":429384,"journal":{"name":"2019 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459757","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

Human Head Motion Modeling Using Monocular Cues for Interactive Robotic Applications 交互式机器人应用中使用单目线索的人头运动建模

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967358

Zukhraf Jamil, Abdullah Gulraiz, W. S. Qureshi, Chyi-Yeu Lin

引用次数: 1

Geometry Augmented SURF with Modified Sobel for Improved Affine Invariance in Image Matching 基于改进Sobel的几何增强SURF改进图像匹配中的仿射不变性

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967349

S. Khan, Faheem Iftikhar, Usman M. Akram

{"title":"Geometry Augmented SURF with Modified Sobel for Improved Affine Invariance in Image Matching","authors":"S. Khan, Faheem Iftikhar, Usman M. Akram","doi":"10.1109/ICRAI47710.2019.8967349","DOIUrl":"https://doi.org/10.1109/ICRAI47710.2019.8967349","url":null,"abstract":"Reliable image matching and alignment is a key issue in difference extraction of aerial images. This paper presents an affine, scale and rotation-invariant method for aligning images taken at different timelines. SURF feature points index pair polling is used to detect best candidate match from an image library against a reference image. SURF is used to ensure speedy match detection as a large library is being scanned. The two images are then coarse-aligned using a statistical model. A modified sobel operator is used to ensure complete edge detection along six orientations. Since SURF is not satisfied for affine invariance, a geometry based approach is used to discard undesired differences. The resulting difference helps locating new structures/ buildings. This integrated approach allows difference extraction in affine environments while satisfying robustness and low computational complexity. The results show upto 90% increase in correlation after alignment between the reference and matched image. The augmented approach increased the probability of detecting valid differences while suppressing the false detections upto 99%.","PeriodicalId":429384,"journal":{"name":"2019 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114274572","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

Emotion Charting Using Real-time Monitoring of Physiological Signals 利用生理信号的实时监测绘制情绪图表

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967398

Aqsa Rahim, Amna Sagheer, Khunsha Nadeem, Muhammad Najam Dar, Amna Rahim, Usman M. Akram

{"title":"Emotion Charting Using Real-time Monitoring of Physiological Signals","authors":"Aqsa Rahim, Amna Sagheer, Khunsha Nadeem, Muhammad Najam Dar, Amna Rahim, Usman M. Akram","doi":"10.1109/ICRAI47710.2019.8967398","DOIUrl":"https://doi.org/10.1109/ICRAI47710.2019.8967398","url":null,"abstract":"Emotions are fundamental to humans. They affect perception and everyday activities such as communication, learning and decision making. Various emotion recognition devices have been developed incorporating facial expressions, body postures and speech recognitions as a means of recognition. The accuracy of most of the existing devices is dependent on the expressiveness of the user and can be fairly manipulated. We proposed a physiological signal based solution to provide reliable emotion classification without possible manipulation and user expressiveness. Electrocardiogram (ECG) and Galvanic Skin Response (GSR) signals are extracted using shimmer sensors and are used for recognition of seven basic human emotions (happy, fear, sad, anger, neutral, disgust and surprise). Classification of emotions is performed using Convolutional Neural Network. Using AlexNet architecture and ECG signals, emotion classification accuracy of 91.5% for AMIGOS dataset and 64.2% for a real-time dataset is achieved. Similarly, the accuracy of 92.7% for AMIGOS dataset and 68% for a real-time dataset is achieved using GSR signals. Through combining both ECG and GSR signals the accuracy of both, AMIGOS and real-time datasets is improved to 93% and 68.5% respectively.","PeriodicalId":429384,"journal":{"name":"2019 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123133543","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: 6

Improved Classification Accuracy of MCI Patients After Acupuncture Treatment: An fNIRS Study 针刺治疗后MCI患者分类准确性的提高:一项fNIRS研究

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967353

U. Ghafoor, M. A. Yaqub, M. A. Afzal Khan, K. Hong

{"title":"Improved Classification Accuracy of MCI Patients After Acupuncture Treatment: An fNIRS Study","authors":"U. Ghafoor, M. A. Yaqub, M. A. Afzal Khan, K. Hong","doi":"10.1109/ICRAI47710.2019.8967353","DOIUrl":"https://doi.org/10.1109/ICRAI47710.2019.8967353","url":null,"abstract":"The mild cognitive impairment (MCI) is a cognitive disorder described by deficiency in memory, vocabulary, understanding, and reasoning. This impairment has an abundant likelihood of developing Alzheimer’s disease (AD). Therefore, the classification of MCI or prodromal stage of AD is critical to assess at earliest for understanding and treating the disease. In this study, a functional near-infrared spectroscopy was employed to measure the concentration changes of oxygenated hemoglobin (ΔHbO) from the prefrontal cortex of eleven healthy control (HC) and MCI patients each during the working memory task. Several temporal features such as slope, mean, kurtosis, skewness, peak values, and their combinations were tested for better assessment of MCI patients. We further investigate the effect of acupuncture treatment on MCI patients. Both groups went through fNIRS recording procedure with a gap of 1.5 months. However, before visit-1, only the patient group undergoes acupuncture treatment twice per week for six weeks. The classification using linear discriminant analysis (LDA) was performed to check any improvement in classification accuracies of patient group after acupuncture treatment. The average classification accuracy obtained in visit-1 (after acupuncture treatment) on MCI patients was increased up to 73% with a couple feature mean-skewness, which was 69% in visit-0 (before acupuncture treatment). With a couple mean-slope and mean-kurtosis as feature, up to 8% increase was observed in visit-1. The significance of this study is that acupuncture can be a useful treatment tool for the betterment of MCI patients.","PeriodicalId":429384,"journal":{"name":"2019 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125514223","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

Meter Digit Recognition Via Faster R-CNN 仪表数字识别通过更快的R-CNN

2019 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2019-10-01 DOI: 10.1109/ICRAI47710.2019.8967357

Muhammad Waqar, M. Waris, Esha Rashid, Nudrat Nida, Shah Nawaz, M. Yousaf

引用次数: 7