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2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)最新文献

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A step towards an intelligent Human Computer Interaction: Physiology-based affect-recognizer 迈向智能人机交互的一步:基于生理学的情感识别器
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481873
Selvia Kuriakose, N. Sarkar, U. Lahiri
{"title":"A step towards an intelligent Human Computer Interaction: Physiology-based affect-recognizer","authors":"Selvia Kuriakose, N. Sarkar, U. Lahiri","doi":"10.1109/IHCI.2012.6481873","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481873","url":null,"abstract":"Impairment in social communication skills is one of the core deficits in the children with Autism Spectrum Disorder (ASD). These children are characterized by an inherent inability to express their affective states thereby imposing limitations on traditional self-report and observational methodologies. However physiological signals are continuously available and are arguably not impacted by these difficulties. In recent years several assistive technologies utilizing the benefits of physiology-based systems have been investigated to promote social communication skills in this population. Among these we chose Virtual Reality (VR) as our platform. Investigations in the area of Human Computer Interaction (HCI) have shown that variations in the physiological signals can be evoked by different amounts of presence in the VR environment and the transition from one affective state to another is accompanied by dynamic shift in indicators of Autonomic Nervous System (ANS) activity. The presented work seeks to fuse behavioral viewing pattern and peripheral physiological features with the affective rating. Thus, this is a step towards indicating the potential of such a system to build an intelligent therapist-like affect-recognizer. The preliminary findings of a usability study are promising.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131477446","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: 10
Optimum thought translation using intelligent BCI 利用智能脑机接口实现最佳思想翻译
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481830
Nitinkumar Rajendra Gove, R. Bedi, Rohan Bhor
{"title":"Optimum thought translation using intelligent BCI","authors":"Nitinkumar Rajendra Gove, R. Bedi, Rohan Bhor","doi":"10.1109/IHCI.2012.6481830","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481830","url":null,"abstract":"The field of brain computer interfaces has been emerged as a new way to simplify the lives of paralyzed, `Locked-in' people and people with motor disabilities. Modern brain computer interfaces provide an alternative to the natural neuronal pathways that are normally used to convey the brain signals/commands to different body parts. Brain computer interfaces use the captured brain signals to automate a particular user action. Before actually using the BCI, a subject needs to be trained accordingly. Training, though beneficial for system usage, appears quite tedious for the paralyzed/Locked-in subjects. Also, as the number of activities that can be automated using BCI increases, the amount of training that needs to be given also increases. Motivated by this fact, we propose a new intelligent BCI system, which require minimum amount of training, to be given to the subject. The proposed system uses P300 brainwaves for subject thought translation. The paper gives a brief study of these P300 waves. Finally, we discuss different factors involved in implementation of such system.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270899","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
Evaluation of feature extraction techniques in emotional state recognition 情绪状态识别中的特征提取技术评价
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481860
T. Filho, André Ferreira, A. C. Atencio, S. Arjunan, D. Kumar
{"title":"Evaluation of feature extraction techniques in emotional state recognition","authors":"T. Filho, André Ferreira, A. C. Atencio, S. Arjunan, D. Kumar","doi":"10.1109/IHCI.2012.6481860","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481860","url":null,"abstract":"We present in this paper a study of three EEG signals feature extraction techniques. These techniques have been widely employed in researches of emotional states recognition: statistical characteristics, features based on PSD (Power Spectral Density) and features based on HOC (High Order Crossings). The validation was performed via classification of emotional states of calm and stress using the K-NN based classifier in off-line mode using EEG signals from available DEAP database. The best results achieved were 70.1%, using the PSD based technique, and 69.59% using the HOC based technique.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176462","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: 77
An auditory perception based improved multi-band spectral subtraction algorithm for enhancement of speech degraded by non-stationary noises 一种基于听觉感知的改进多频带谱减法算法用于非平稳噪声语音的增强
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481854
Navneet Upadhyay, A. Karmakar
{"title":"An auditory perception based improved multi-band spectral subtraction algorithm for enhancement of speech degraded by non-stationary noises","authors":"Navneet Upadhyay, A. Karmakar","doi":"10.1109/IHCI.2012.6481854","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481854","url":null,"abstract":"In this paper, an auditory perception based improved multi-band spectral subtraction algorithm is proposed to enhance the speech signal degraded by non-stationary or colored noises. In the proposed scheme, the whole speech spectrum is divided in different non-uniform bands (N = 6) in accordance to the critical-band rate scale and spectral subtraction is applied separately in each band. The proposed algorithm uses a new approach to estimate the noise power from each band without the need of explicit speech silence detection. The noise estimate is updated by adaptively smoothing the noisy signal power. The smoothing parameter is controlled by a linear function of a-posteriori signal-to-noise ratio (SNR). This noise estimation approach gives accurate results at low SNR and works continuously in the presence of speech. The objective measures as well as informal subjective tests demonstrate that the proposed algorithm reduces remnant noise efficiently and the enhanced speech contains minimal speech distortions with improved SNR.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125307092","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
Temporal correlation and probabilistic prediction based face detection framework in real time environment 实时环境下基于时间相关和概率预测的人脸检测框架
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481798
P. Mayank, S. Mukhopadhyay
{"title":"Temporal correlation and probabilistic prediction based face detection framework in real time environment","authors":"P. Mayank, S. Mukhopadhyay","doi":"10.1109/IHCI.2012.6481798","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481798","url":null,"abstract":"Conventionally, the object detection algorithm proposed by Viola Jones (using Haar-like features, Integral image and AdaBoost algorithm) is implemented in majority of the face detection applications. In this article, an improvement to the application of Viola Jones algorithm in real time environment is presented by exploiting the analogy between video motion estimation and continuous object detection. Using the temporal correlation between successive frames of a real time input, various modifications improving the robustness and computational complexity of face detection are proposed. The proposed method focuses on reducing the search area for face detection on the basis of probabilistic prediction. In addition, approximation of minimum face size renders an improved performance. The modified Face Detection Framework (FDF) is applied in two scenarios, canned video sequences from public databases and real time inputs from a low resolution camera, yielding improved results in both the cases.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121614024","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
Measurement of PERCLOS using eigen-eyes 本征眼法测量PERCLOS
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481864
Tapan Pradhan, Ashutosh Nandan Bagaria, A. Routray
{"title":"Measurement of PERCLOS using eigen-eyes","authors":"Tapan Pradhan, Ashutosh Nandan Bagaria, A. Routray","doi":"10.1109/IHCI.2012.6481864","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481864","url":null,"abstract":"Monitoring of the level vigilance in humans through human computer interaction has been a field of interest for image processing researchers for long time. Numerous activities carried out by humans require constant vigil over a period of time. A lack of alertness can lead to precious human life and/or economic losses. A major cause of reduced level of vigilance is drowsiness. This paper presents a method based on Principle Component Analysis to classify eyes and calculate PERcentage eye CLOSure (PERCLOS) for drowsiness detection. PERCLOS is an established parameter to detect the level of drowsiness. Using Singular Value Decomposition eigen-eye spaces are created for fully open, partially open and fully closed eyes in the training phase from eye images. These eigen spaces are used to categorize test eye images to one of these three categories for calculating PERCLOS. Experimental results show nearly 98% accuracy for offline as well as for online categorization of eyes for calculating PERCLOS and level of drowsiness.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124538249","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: 12
Icon-based representation of web information 基于图标的web信息表示
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481779
S. Maiti, D. Samanta
{"title":"Icon-based representation of web information","authors":"S. Maiti, D. Samanta","doi":"10.1109/IHCI.2012.6481779","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481779","url":null,"abstract":"With the target of free knowledge distribution a vast information repository is build up in Web. People are able to access and share these information through Internet. It helps people to enrich their knowledge base as well as to get quick suggestions of any problem. But this opportunity is only limited to the educated people those who have good reading, writing and comprehending capability of language specifically English language. To overcome this limitation we choice icon as the expression medium and propose a methodology to visually represent Web information which helps illiterate or semi-illiterate people to get some basic information of a Web page. Few experiments have been performed to check the effectiveness of the proposed approach. The experimental result substantiates the efficacy of the proposal.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"12 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125640525","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
BlindGuide: An audio based eyes-free caller guide for people with visual impairment 盲导:为有视觉障碍的人提供的基于音频的无眼呼叫指南
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481788
T. Chakraborty, D. Samanta
{"title":"BlindGuide: An audio based eyes-free caller guide for people with visual impairment","authors":"T. Chakraborty, D. Samanta","doi":"10.1109/IHCI.2012.6481788","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481788","url":null,"abstract":"BlindGuide is a caller system for mobile phone devices designed to provide sightless access to the blind people. Blind people can enter any phone number and also can search any name from contact list to make call to other person. Users interact to the system using five physical keys present in phone keypad. We provide an audio guideline to use BlindGuide and an auditory feedback against each unit interaction to ensure users about their inputs. BlindGuide does not require touch screen so, it can save the extra cost added for handset due to touch-screen device. BlindGuide requires less number of physical keys (with respect to QWERTY keypad or traditional telephone keypad) which favors to provide higher tactile sensitivity. We present our design rationale followed by an explorative evaluation of BlindGuide with experienced trainer of visually impaired students.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133606661","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 survey on mobile text entry handedness: How do users input text on handheld devices while nomadic? 一项关于手机文本输入习惯的调查:用户在移动时如何在手持设备上输入文本?
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481818
A. Arif
{"title":"A survey on mobile text entry handedness: How do users input text on handheld devices while nomadic?","authors":"A. Arif","doi":"10.1109/IHCI.2012.6481818","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481818","url":null,"abstract":"This paper presents results of a survey that explored users' typing handedness in various mobile settings, such as while walking, while commuting, and while driving. Results show that a substantial number of users input text on their handheld devices while walking (48%) and while commuting (90%). About half of these users use both hands, while the rest half use either their dominant or non-dominant hand to type. Single-hand text entry users usually use their dominant hand to type. Most mobile text entry users continue inputting text in situations where they have only one hand available to type. In such situations, however, the number of users who prefer using their non-dominant hand increases significantly. About half of the users who drive (58%), frequently input text while driving. In this case, however, most users (92%) prefer using their dominant hand to input text.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130495894","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: 11
Classification of web pages on attractiveness: A supervised learning approach 网页吸引力分类:一种监督学习方法
2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI: 10.1109/IHCI.2012.6481867
Ganesh Khade, Sudhakar Kumar, S. Bhattacharya
{"title":"Classification of web pages on attractiveness: A supervised learning approach","authors":"Ganesh Khade, Sudhakar Kumar, S. Bhattacharya","doi":"10.1109/IHCI.2012.6481867","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481867","url":null,"abstract":"Random surfers spend very little time on a web page. If the most important web page content fails to attract his attention within the short time span, he will move away to some other page, thus defeating the purpose of the web page designer. In order to predict if the contents of a web page will catch a random surfer's attention or not, we propose a machine learning based approach to classify web pages into “bad” and “not bad” classes, where the “bad” class implies poor attention drawing ability. We propose to divide web page contents into “objects”, which are coherent regions of web page conveying the same information, to develop the classifier approach. We surveyed 100 web pages sampled from the Internet to identify the type and frequency of objects used in web page design. From our survey, we identified six types of objects that are most important in determining the class of a web page, in terms of its attention drawing capability. We used the WEKA tool to implement the machine learning approach. Two different strategies of percentage split and three different strategies of cross validation are used to check for accuracy of the classifier. We have experimented with 65 algorithms supported by WEKA and found that the algorithms RBF network and Random subspace, among the 65, gives the best performance, with about 83% accuracy.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123313090","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
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