2017 International Conference on Orange Technologies (ICOT)最新文献_第4页

Music and motion-detection: A game prototype for rehabilitation and strengthening in the elderly 音乐和动作检测:一个用于老年人康复和强化的游戏原型

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336097

Kat R. Agres, Dorien Herremans

引用次数: 10

Exploring microscopic fluctuation of facial expression for mood disorder classification 探讨面部表情的微观波动对情绪障碍分类的影响

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336090

Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, H. Wang

{"title":"Exploring microscopic fluctuation of facial expression for mood disorder classification","authors":"Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, H. Wang","doi":"10.1109/ICOT.2017.8336090","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336090","url":null,"abstract":"In clinical diagnosis of mood disorder, depression is one of the most common psychiatric disorders. There are two major types of mood disorders: major depressive disorder (MDD) and bipolar disorder (BPD). A large portion of BPD are misdiagnosed as MDD in the diagnostic of mood disorders. Short-term detection which could be used in early detection and intervention is thus desirable. This study investigates microscopic facial expression changes for the subjects with MDD, BPD and control group (CG), when elicited by emotional video clips. This study uses eight basic orientations of motion vector (MV) to characterize the subtle changes in microscopic facial expression. Then, wavelet decomposition is applied to extract entropy and energy of different frequency bands. Next, an autoencoder neural network is adopted to extract the bottleneck features for dimensionality reduction. Finally, the long short term memory (LSTM) is employed for modeling the long-term variation among different mood disorders types. For evaluation of the proposed method, the elicited data from 36 subjects (12 for each of MDD, BPD and CG) were considered in the K-fold (K=12) cross validation experiments, and the performance for distinguishing among MDD, BPD and CG achieved 67.7% accuracy.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129877178","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

The semi-supervised classification of petrol and diesel passenger cars based on OBD and support vector machine algorithm 基于OBD和支持向量机算法的汽油和柴油乘用车半监督分类

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336113

Shih-Huang Chen, Chun-Hung Richard Lin, Wen-Kai Liu, Jui-Yang Tsai

{"title":"The semi-supervised classification of petrol and diesel passenger cars based on OBD and support vector machine algorithm","authors":"Shih-Huang Chen, Chun-Hung Richard Lin, Wen-Kai Liu, Jui-Yang Tsai","doi":"10.1109/ICOT.2017.8336113","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336113","url":null,"abstract":"This paper proposes a novel semi-supervised classification method of petrol and diesel passenger cars using OBD data and support vector machine (SVM) algorithm. The proposed method first develops a classification rule of petrol and diesel passenger cars based on vehicle speed as well as engine RPM obtained from the on-board diagnostic (OBD) data with specific passenger car identification number (ID). Then the proposed method could primarily label petrol or diesel to the passenger car with specific ID using the classification rule. Next this paper apply support vector machine to create a classification model of petrol and diesel passenger cars based on the primary classification results, and to perform refined classification tasks. Experimental results show the correctness of the proposed semi-supervised petrol and diesel passenger car classification method can achieve 1.5% calibration rate from more than 35,000 real OBD data. The proposed method has the potential of applying to internet of vehicle (IoV) and to improve on-road CO2 emission estimation.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123020335","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

Towards a human-robot teaming system for exploration of environment 面向环境探索的人机组队系统

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336074

Fan Bu, Yan Wu

引用次数: 0

Analysis of the compliance with the measurement protocols scheduled in a telemonitoring system 远程监控系统中测量协议的符合性分析

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336081

A. Argha, B. Celler

{"title":"Analysis of the compliance with the measurement protocols scheduled in a telemonitoring system","authors":"A. Argha, B. Celler","doi":"10.1109/ICOT.2017.8336081","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336081","url":null,"abstract":"This paper presents findings on patient compliance in the recently completed Commonwealth Scientific and Industrial Research Organization (CSIRO) trial of home monitoring for chronic disease management carried out at several locations along the east coast of Australia. Subjects in this project had a principal diagnosis of Chronic Obstructive Pulmonary Disease (COPD), Coronary Artery Disease (CAD), Hypertensive Diseases (HD), Congestive Heart Failure (CHF), Diabetes or Asthma. All had been admitted to hospital at least once in the previous year. A number of vital signs, determined by the patient's condition, were monitored on average for 302 days. No statistically significant reduction in compliance was found over time. However, the compliance rates of patients monitored in hospital settings relative to those monitored in community settings were significantly higher for spirometry, body weight and body temperature, and the compliance rates for blood pressure, ECG and pulse oximetry were significantly higher in male relative to female subjects. No statistical differences were observed between rates of compliance for younger patients group (≤ 70 years old) and older patient group (> 70).","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507256","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

Based on sentence similarity and emotion conversation for spoken dialogue system 基于句子相似度和情感对话的口语对话系统

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336100

Bo-Hao Su, Shih-Pang Tseng, Jhing-Fa Wang, J. Huang

引用次数: 0

Design and implementation of the image-based group emotion detector 基于图像的群体情感检测器的设计与实现

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336102

Jui-Le Chen, Jun-Ying Chen, Sheng-Ting Huang, Qige Ye, Qi-Wen Gung, Shih-Pang Tseng

引用次数: 0

Stem cell detection based on Convolutional Neural Network via third harmonic generation microscopy images 基于卷积神经网络的三次谐波生成显微镜图像干细胞检测

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336085

Gwo-Giun Lee, Kuan-Wei Haung, Chi‐Kuang Sun, Y. Liao

{"title":"Stem cell detection based on Convolutional Neural Network via third harmonic generation microscopy images","authors":"Gwo-Giun Lee, Kuan-Wei Haung, Chi‐Kuang Sun, Y. Liao","doi":"10.1109/ICOT.2017.8336085","DOIUrl":"https://doi.org/10.1109/ICOT.2017.8336085","url":null,"abstract":"Stem cell plays an important role in repairing destroyed tissues and keeping human healthy every day; and thus stem cell observation and detection are principle procedures before being analyzed by physicians. In this paper, we proposed a criterion of Computer-Aided Diagnosis (CAD) system to detect stem cells in the stratum basale based on cell segmentation algorithm and intrinsic characteristics of cells, which can provide consistent and accurate results for assisting the assessment of diagnosis. In addition, we utilize Convolutional Neural Networks (CNNs) to recognize basal cells and stem cells since CNN has excellent performance on processing abundant data. Actually, the procedure of acquiring biomedical images is too complicated to collect, hence hand-crafted initialization is adopted to overcome the issue of the lack of training data according to prior knowledge or the suggestion from medical doctors. The experimental results show that the accuracy of hand-crafted initialization is higher than random distribution kernels and the convergence time is shorter also since a better initial condition may lead to better results in optimization theory.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126048506","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

Mindfulness and flourishing interface (MFI): An APP prototype for hedonic and eudemonic wellbeing 正念和繁荣界面(MFI):一个用于享乐和幸福的APP原型

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336104

Mingrui Zeng, S. Liou

引用次数: 1

Effects of regularizaron constraints on FMRI brain network source decomposition 正则化约束对FMRI脑网络源分解的影响

2017 International Conference on Orange Technologies (ICOT) Pub Date : 2017-12-01 DOI: 10.1109/ICOT.2017.8336119

Quang D. D. Nguyen, An D. Le, Bao Q. Pham, Hien M. Nguyen

引用次数: 0