{"title":"sEMG based human computer interface for robotic wheel","authors":"Md. Shafivulla, Vullanki Rajesh, Habibulla Khan","doi":"10.1109/IHCI.2012.6481784","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481784","url":null,"abstract":"In this paper, a real-time experimental of Hand Gesture sEMG signal using artificial neural networks for Wheel Vehicle Control is proposed. The raw SEMG signals been captured from SEMG amplifier, up to 8 channels of NI-DAQ card responses data will be combined and a fine tuning step by using pattern classification. The database then been build and use for real-time experimental control classification. Captured data will send through serial port and Wheel Machine will receive and move accordingly. The detail of the experiment and simulation conducted described here to verify the differentiation and effectiveness of combined channels sEMG pattern classification of hand gesture for real-time control.","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":"131274277","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}
{"title":"A Persuasive game for social development of children in Indian cultural context — A Human Computer Interaction design approach","authors":"Aditya Ponnada, K. Ketan, P. Yammiyavar","doi":"10.1109/IHCI.2012.6481863","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481863","url":null,"abstract":"In this paper, we present a Human centered Human Computer Interaction design approach for conceptualization of Persuasive games relevant to Indian cultural context. Core of the protocol process adopted involved semi-structured interviews with nineteen Indian families, where parents have reported certain behaviors, which they wished to change in their children in a positive way. On qualitative evaluation of parents' responses using Fogg's behavior model as the basis, it was found that “diffidence” or “shyness” is one such behavior that demands most from the children in order to bring a positive change using the medium of digital games. The game units such as characters, objects, and environment were derived from the analysis of field notes of the semi-structured interviews. We have used a method analogue to “Grow-A-Game” technique to generate the game concept. Ultimately, we present a final persuasive game concept which is intended to bring about positive changes in children' diffidence and shyness behaviors.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"36 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":"131694369","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}
Sabarish Kuduwa Sivanath, S. Muralikrishnan, Parthasarathy Thothadri, V. Raja
{"title":"Eyeball and blink controlled firing system for military tank using LabVIEW","authors":"Sabarish Kuduwa Sivanath, S. Muralikrishnan, Parthasarathy Thothadri, V. Raja","doi":"10.1109/IHCI.2012.6481807","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481807","url":null,"abstract":"Presently, most of the modern military tanks require 4 members to operate. In this paper, we try to reduce the number of persons to operate the tank by one and increase the ease of targeting enemies. This is achieved by controlling the firing systems of the tank with the help of eyeball movement and blink. Image of the eye is captured using a camera, which is placed in front of the eye, and centroid of the iris is found to track the eye. The turret's vertical as well as horizontal position is controlled using the eyeball movement and the gun can be fired with the help of blink. It is possible to switch between the main gun and the machine gun with ease. The machine gun is also controlled in a similar manner. Thus, our system allows the driver to control the tank as well as the firing system thereby reducing number of people to control the tank.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"20 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":"127039582","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}
{"title":"A novel approach in feature level for robust text-independent speaker identification system","authors":"S. K. Sarangi, G. Saha","doi":"10.1109/IHCI.2012.6481824","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481824","url":null,"abstract":"Over the decade, mel-frequency cepstral coefficient (MFCC) has been the most popular feature extraction method in the field of automatic speaker recognition. But in case of robust speaker recognition system, its performance is good for white noise contamination but not as good for other noises. We introduce speech-signal-based frequency cepstral coefficients (SFCC) in speaker recognition domain. In this method, frequency warping function is derived directly from the speech signal itself by considering equal area portions of the logarithm of the ensemble average short-time power spectrum of entire speech corpus. Speech-signal-based frequency warping function is very much similar to the frequency scale obtained through psycho-acoustic experiments known as mel scale and bark scale. We have proposed to use combination of filter banks of both the MFCC and SFCC in text-independent speaker identification. Speaker identification experiments are performed on POLY-COST database. The proposed technique gives better performance than the single streamed MFCC or SFCC based features for robust speaker identification system.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"58 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":"127193651","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}
{"title":"Identification of Nominal Multiword Expressions in Bengali using CRF","authors":"Tanmoy Chakraborty","doi":"10.1109/IHCI.2012.6481823","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481823","url":null,"abstract":"One of the key issues in both natural language understanding and generation is the appropriate processing of Multiword Expressions (MWEs). MWEs pose a huge problem to a precise language processing due to their idiosyncratic nature and diversity in lexical, syntactical and semantic properties. The semantic of a MWE can be expressed transparently or opaquely after combining the semantic of its constituents. This paper deals with the identification of Nominal Multiword Expressions in the Bengali text using Conditional Random Field (CRF) machine learning technique. Bengali is highly agglutinative and morphologically rich language. Thus the selection of features such as surrounding words, POS tag, prefix, suffix, length etc are proved to be very effective for running the CRF tool for the identification of Nominal MWEs. Compared to the statistical system built in Bengali language for compound noun MWEs identification, our proposed system shows higher accuracy in terms of precision, recall and F-score. We also conclude that with the identification of Reduplicated MWEs (RMWEs) and considering it as a feature makes reasonable improvement compared to the earlier system.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"39 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":"130534927","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}
{"title":"ZOR SE BOLO: Interactive installations for Airport, providing a linguistic tour of New Delhi","authors":"Himanshu Seth, K. Sorathia","doi":"10.1109/IHCI.2012.6481861","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481861","url":null,"abstract":"Today, New Delhi with more than 10,000 people speaking an estimate of 122 languages [1], has led it to enter into a new kind of multilingual anarchy. The conversational language has disintegrated into an array of jargons, idioms, acronyms, abbreviations, and symbols. ZOR SE BOLO presents 5 of the most commonly spoken jargons of the capital, (“Thoda adjust karlo”, “Bhai kuch jugaad laga”, “Tu jaanta hai mera baap kaun hai?”, “Tum toh bade log ho”, “No Problem ji”), in the form of interactive installations to be displayed at the Delhi International Airport (T3 Terminal) with a view of providing a linguistic tour of the capital. Two of the design concepts (“No Problem ji” and “Tu jaanta hai mera baap kaun hai?”) were successfully prototyped and exhibited. The concept was achieved in 3 main phases: literature research & analysis, design and implementation. “Touch” and “Speech” were used as interaction mediums to design an experience such that people relate to the individuals and their lingo through the audio they hear after triggering the installation. Body language / gestures of the mannequins in the installations becomes a metaphor to reach out and establish contact between people of different tongues, from different cultures.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"44 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":"131303973","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}
{"title":"Effect of sleep deprivation on estimated distributed sources for Scalp EEG signals: A case study on human drivers","authors":"Aritra Chaudhuri, A. Routray, S. Kar","doi":"10.1109/IHCI.2012.6481805","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481805","url":null,"abstract":"The Scalp EEG is a large-scale & robust information source about neocortical dynamic functions. In this paper, we analyze a scalp Electro-Encephalogram (EEG) database of 12 human subjects driving on a simulated condition in laboratory, in 11 different stages of fatigue for characterizing the source natures on the cortex surface. In this paper, the Linear Distributed Current Dipole Approach is used. We have used standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) algorithm, which upon construction of a Lead-field Matrix or a Head model consisting of a grid of 10014 voxels, spatially maps the surface data to corresponding corticular dipole sources at each voxel. The information measures such as Renyi, Shannon & Tsallis entropies of the scouts or voxels nearest to specific electrodes are calculated for various subjects & for varying fatigue levels.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"21 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":"121270621","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}
{"title":"Application of Complete Local Binary Pattern Method for facial expression recognition","authors":"S. Singh, Ritesh Maurya, Ajay Mittal","doi":"10.1109/IHCI.2012.6481801","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481801","url":null,"abstract":"We propose a novel approach using Complete Local Binary Pattern feature generation method for facial expression recognition with the help of Multi-Class Support Vector Machine. Complete Local Binary Pattern method is an extended version of Local Binary Pattern method with a little difference. LBP feature considers only signs of local differences, whereas CLBP feature considers both signs and magnitude of local differences as well as original center gray level value. CLBP and LBP have same computational complexity while CLBP performs better facial expression recognition over LBP using SVM training and multiclass classification with binary SVM classifiers. The experimental result demonstrate the average efficiency of recognition of propose method (35 images) with CLBP is 86.4%, while with LBP and CCV is 84.1255% and 75.83% in the JAFFE database.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"1 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":"132925320","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}
S. Suganthi, P. Bamarukmani, K. .. Srinivasagan, M. Saravanan
{"title":"Semantic based orthographic with prepositional phrase for English-Tamil translation","authors":"S. Suganthi, P. Bamarukmani, K. .. Srinivasagan, M. Saravanan","doi":"10.1109/IHCI.2012.6481845","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481845","url":null,"abstract":"Machine translation quality has improved substantially in recent years. Many researchers have contributed and developed quite good algorithms, frameworks and models for various languages. Processing of natural language involves various levels, complexities, ambiguities arise at each of those levels. Some pragmatic and semantic approaches can be used to tackle these issues. Generally, prepositions are plays sound role in meaningful translation for any languages. While translating from English to Tamil, preposition in English sentences should be translated to postposition to have meaningful sentences. Thus the prepositional phase errors and orthographic errors are the major issue in machine translation. The main goal of this paper is to improve the translation quality. To achieve the goal, we use some semantic rule to correct the prepositional and orthographic errors in this English-Tamil translation. The proposed approach takes as input an English sentence containing a preposition and the correct postposition and correct spelling in Tamil for that particular sentence context as output. The rules are evaluated with corpus data and the performance is good. The outcomes of the results are compared with Google Translate.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"35 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":"115037912","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}
{"title":"Human computer interface design for neonatal intensive care with data mining","authors":"Sonali Agarwal, G. N. Pandey","doi":"10.1109/IHCI.2012.6481809","DOIUrl":"https://doi.org/10.1109/IHCI.2012.6481809","url":null,"abstract":"Neonatal Intensive care Unit (NICU) is capable of caring newborns and premature babies during their first four weeks of life. This could help to improve child mortality rate because 41% of all child death is reported during their neonatal period. Hence, a state of art modern Neonatal Intensive Care Unit is a prime need of any nation in order to improve child health and subsequently for socio economic development of a country like India. A Neonatal Intensive care Unit (NICU) consist multiple life saving machines which are continuously recording vital parameters of neonates and generating vast data at very high frequency. A context aware based timely monitoring of such systems is a crucial task which could able to help medical experts for efficient decision making. Considering multiple vital parameters and taking decision in a real time situation could be more improved by having efficient decision support system based on strong human computer interaction. In this present research work a human computer interface for Neonatal Intensive Care Unit has been proposed which utilizes Support Vector Machine to classify the health condition of neonates. A prognostic Index has been proposed which could be calculated on the basis of seven important vital parameters. Based on the value of Prognostic Index clinical rules may be identified to initiate alarms about the neonate health condition.","PeriodicalId":107245,"journal":{"name":"2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)","volume":"19 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":"115196293","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}