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International Journal of Recent Trends in Human Computer Interaction (IJHCI)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-1347
Published - Bi-Monthly   |   Established -    |   Year of Publication - 2021

SUBMISSION
July 31, 2021

NOTIFICATION
August 31, 2021

PUBLICATION
September 2021

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RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

IJHCI CITATION IMPACT
3.625

Refer to In-Process Citation Report for IJHCI for complete details.
 
LIST OF JOURNALS
Complete list of Open Access journals with free access its publications.
 
For Inquiries & Fast Response cscpress@cscjournals.org

IJHCI - CITATION REPORT (IN-PROCESS)

Below calculations are based on citations that are extracted through Google Scholar.

Total Citations = 174
Self Citations = 0
Total Publications = 48

Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(174 - 0) / 48 = 3.625

 
SR
M-CODE
CITATION
1
Alshamari, M. (2016). Assessing and Prioritizing Usability Factors in Health Information System. Trends in Applied Sciences Research, 11(1), 26.
2
Negahban, A., Kim, D. J., & Kim, C. (2016). Unleashing the Power of mCRM: Investigating Antecedents of Mobile CRM Values from Managers Viewpoint. International Journal of Human-Computer Interaction, (just-accepted).
3
Shamim, A., Balakrishnan, V., Tahir, M., & Ahsan Qureshi, M. (2016). Age and domain specific usability analysis of opinion visualisation techniques. Behaviour & Information Technology, 1-10.
4
Gengeswari, K., & Sharmeela-Banu, S. A. (2016). Revealing the Underlying Insights on the Use of Social Media by Foreign StudentsA Qualitative Approach. Journal Of Business Theory And Practice, 4(1), 139-150.
5
Kirisci, P. T. (2016). Gestaltung mobiler Interaktionsgerte. Springer Fachmedien Wiesbaden.
6
Arai, K. (2016). Computer Input Just by Sight and Its Applications in Particular for Disable Persons. In Information Technology: New Generations (pp. 995-1007). Springer International Publishing.
7
Zhang, C. (2016). Study on Environmental Control System for People with Serious Disabilities.
8
Arai, K. (2016). Computer Input Just by Sight and Its Applications in Particular for Disable Persons. In Information Technology: New Generations (pp. 995-1007). Springer International Publishing.
9
Zhang, C. (2016). Study on Environmental Control System for People with Serious Disabilities.
10
Arai, K. (2016). Computer Input Just by Sight and Its Applications in Particular for Disable Persons. In Information Technology: New Generations (pp. 995-1007). Springer International Publishing.
11
張超. (2016). Study on Environmental Control System for People with Serious Disabilities.
12
于江麗. (2016). Study on Computer Input Device Using Head Movement for People with Disabilities.
13
Arai, K. (2016). Computer Input Just by Sight and Its Applications in Particular for Disable Persons. In Information Technology: New Generations (pp. 995-1007). Springer International Publishing.
14
Shrawankar, U., & Dixit, S. S. (2016). Listening deaf through Tactile sign language. In Proceedings of the 10th INDIACom, 3rd International Conference on Computing for Sustainable Global Development, New Delhi (INDIA), IEEE, 16th–18th March.
15
Hassanat, A. B., Alkasassbeh, M., Al-awadi, M., & Esra'a, A. A. (2016). Color-based object segmentation method using artificial neural network. Simulation Modelling Practice and Theory, 64, 3-17.
16
Kharate, G. K., & Ghotkar, A. S. (2016). VISION BASED MULTI-FEATURE HAND GESTURE RECOGNITION FOR INDIAN SIGN LANGUAGE MANUAL SIGNS. International Journal on Smart Sensing & Intelligent Systems, 9(1).
17
Zhao, M. Y., Ong, S. K., & Nee, A. Y. C. (2016). An Augmented Reality-assisted Therapeutic Healthcare Exercise System Based on Bare-hand Interaction. International Journal of Human-Computer Interaction, (just-accepted).
18
Nazaran, A., Wisco, J. J., Hageman, N., Schettler, S. P., Wong, A., Vinters, H. V., ... & Bangerter, N. K. (2016). Methodology for computing white matter nerve fiber orientation in human histological slices. Journal of neuroscience methods, 261, 75-84.
19
Darwish, S. M., Madbouly, M. M., & Khorsheed, M. B. (2016). Hand Gesture Recognition for Sign Language: A New Higher Order Fuzzy HMM Approach. International Journal of Engineering and Technology, 8(3), 157.
20
Smruti, S., Sahoo, J., Dash, M., & Mohanty, M. N. (2015, January). An Approach to Design an Intelligent Parametric Synthesizer for Emotional Speech. In Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 (pp. 367-374). Springer International Publishing.
21
Takizawa, H., Yamaguchi, S., Aoyagi, M., Ezaki, N., & Mizuno, S. (2015). Kinect cane: an assistive system for the visually impaired based on the concept of object recognition aid. Personal and Ubiquitous Computing, 1-11.
22
Easton, S., & Wise, N. (2015). Online portrayals of volunteer tourism in Nepal: exploring the communicated disparities between promotional and user-generated content. Worldwide Hospitality and Tourism Themes, 7(2), 141-158.
23
Wise, S. E. N. Worldwide Hospitality and Tourism Themes.
24
Alqahtani, M. A., Alhadreti, O., AlRoobaea, R. S., & Mayhew, P. J. (2015). Investigation into the Impact of the Usability Factor on the Acceptance of Mobile Transactions: Empirical Study in Saudi Arabia. International Journal of Human Computer Interaction (IJHCI), 6(1), 1.
25
Martin-SanJose, J. F., Juan, M. C., Moll, R., & Viv, R. (2015). Advanced displays and natural user interfaces to support learning. Interactive Learning Environments, 1-18.
26
Cook, H., Nguyen, Q. V., Simoff, S., Trescak, T., & Preston, D. (2015, September). A Close-Range Gesture Interaction with Kinect. In Big Data Visual Analytics (BDVA), 2015 (pp. 1-8). IEEE.
27
Iio Chun (2015) for beginners to ke pu ro Jewellery Getting ミ nn gu education ni off su ru Awareness Survey -GUI ? CUI ?-do ? ra ga yo ? ka -.?. Intelligence Education ? nn Polyster ji ? Rousseau 2015 Proceedings, 2015, 17-22.
28
Saktel, P., Domke, M., & Vilhekar, L. Performance Improvement of Context Identification for Human Computer Interaction.
29
Wong, C. H., Tan, G. W. H., Tan, B. I., & Ooi, K. B. (2015). Mobile advertising: the changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720-734.
30
Zhang, C., Ishimatsu, T., Yu, J., Murray, L., & Shi, L. (2015, August). Vision-based displacement sensor for people with serious spinal cord injury. In Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (pp. 772-777). IEEE.
31
Zhang, C., Shibata, M., Takashima, K., Yu, J., Ishimatsu, T., & Palomino, J. (2015). An Environmental Control System for ALS Patient Using Finger Movement. Modern Mechanical Engineering, 5(04), 122.
32
Arai, K. (2015). Psychological Status Monitoring with Cerebral Blood Flow, Electroencephalogram and Electro-oculogram Measurements.
33
Arai, K. (2015). Computer Input by Human Eyes Only and It’s Applications. In Intelligent Systems in Science and Information 2014 (pp. 1-22). Springer International Publishing.
34
Zhang, C., Ishimatsu, T., Yu, J., Murray, L., & Shi, L. (2015, August). Vision-based displacement sensor for people with serious spinal cord injury. In Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (pp. 772-777). IEEE.
35
Arai, K. (2015). Computer Input by Human Eyes Only and It’s Applications. In Intelligent Systems in Science and Information 2014 (pp. 1-22). Springer International Publishing.
36
Raffle, H. S., Patel, N., & Braun, M. B. (2015). U.S. Patent No. 9,213,403. Washington, DC: U.S. Patent and Trademark Office.
37
Tait, M., & Billinghurst, M. N. (2015). U.S. Patent No. 9,146,618. Washington, DC: U.S. Patent and Trademark Office.
38
Nabati, M., & Behrad, A. (2015). 3D Head pose estimation and camera mouse implementation using a monocular video camera. Signal, Image and Video Processing, 9(1), 39-44.
39
Zhang, C., Ishimatsu, T., Yu, J., Murray, L., & Shi, L. (2015, August). Vision-based displacement sensor for people with serious spinal cord injury. In Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (pp. 772-777). IEEE.
40
Arai, K. (2015). Computer Input by Human Eyes Only and It’s Applications. In Intelligent Systems in Science and Information 2014 (pp. 1-22). Springer International Publishing.
41
Yoshimura, H., Hori, M., Shimizu, T., & Iwai, Y. (2015). Appearance-Based Gaze Estimation for Digital Signage Considering Head Pose. International Journal of Machine Learning and Computing, 5(6), 507.
42
Abreu, J., Almeida, P., & Silva, T. (2015). Enriching Second-Screen Experiences with Automatic Content Recognition. In VI International Conference on Interactive Digital TV IV Iberoamerican Conference on Applications and Usability of Interactive TV (p. 41).
43
Abreu, J., Almeida, P., & Silva, T. (2015). A UX Evaluation Approach for Second-Screen Applications. In Applications and Usability of Interactive TV (pp. 105-120). Springer International Publishing.
44
Tzionas, D., Ballan, L., Srikantha, A., Aponte, P., Pollefeys, M., & Gall, J. (2015). Capturing Hands in Action using Discriminative Salient Points and Physics Simulation. arXiv preprint arXiv:1506.02178.
45
Cherng, L. Y., Malim, N. H. A. H., & Singh, M. M. (2015). Trend analysis in ageing and ict research. jurnal teknologi, 76(1).
46
Arai, K. (2015). Psychological Status Monitoring with Cerebral Blood Flow, Electroencephalogram and Electro-oculogram Measurements.
47
Arai, K. Psychological Status Monitoring with Cerebral Blood Flow: CBF, Electroencephalogram: EEG and Electro-Oculogram: EOG Measurements.
48
Arai, K. (2015). Relations between Psychological Status and Eye Movements. Signal, 4(6).
49
Guran, A. M., & Cojocar, G. S. O propunere de arhitecturǎ pentru evaluarea metricilor de execuţie folosind AOP.
50
Han, B. (2015). The Multimodal Interaction through the Design of Data Glove (Doctoral dissertation, Université d'Ottawa/University of Ottawa).
51
Megha, J. V., Padmaja, J. S., & Doye, D. D. Radially Defined Local Binary Patterns for Hand Gesture Recognition.
52
Sheth, K., & Futane, P. R. Indian Sign Language Recognition using Hybrid Video Segmentation Approach.
53
Polash, M. M., Bhuiyan, N. A., & Kabir, M. H. Secured Dynamic Hand Gestures Detection System.
54
Sonkusare, J. S., Chopade, N. B., Sor, R., & Tade, S. L. (2015, February). A Review on Hand Gesture Recognition System. In Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on (pp. 790-794). IEEE.
55
Kovalenko, M., Antoshchuk, S., & Hodovychenko, M. (2015, October). Event recognition using a semantic-probabilistic network. In Information Technologies in Innovation Business Conference (ITIB), 2015 (pp. 35-38). IEEE.
56
Ma, F., Wang, H., & Sun, Z. (2015). The Design and Implementation of Natural Human-Robot Interaction System Based on Kinect Sensor.
57
Kovalenko, M., Antoshchuk, S., & Sieck, J. (2015, May). Human action recognition using a semantic-probabilistic network. In Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on (pp. 67-72). IEEE.
58
Rungruangbaiyok, S., Duangsoithong, R., & Chetpattananondh, K. (2015, June). Ensemble Threshold Segmentation for hand detection. In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on (pp. 1-5). IEEE.
59
Miehling, M. J. (2014). Correlation of affiliate performance against web evaluation metrics (Doctoral dissertation, Edinburgh Napier University).
60
Zahran, D. I., Al-Nuaim, H. A., Rutter, M. J., & Benyon, D. (2014). A comparative approach to web evaluation and website evaluation methods. International Journal of Public Information Systems, 10(1).
61
Nystrm, N., Kann, L., Pelz-Wall, T., & Blter, O. (2014). Online user tracking and usability tools-a mapping study.
62
Sin, A. K., Ahmad, A., Zaman, H. B., & Sulaiman, R. (2014, November). A wearable device for the elderly: A case study in Malaysia. In Information Technology and Multimedia (ICIMU), 2014 International Conference on (pp. 318-323). IEEE.
63
Lanzola, G., Parimbelli, E., Micieli, G., Cavallini, A., & Quaglini, S. (2014). Data quality and completeness in a web stroke registry as the basis for data and process mining. Journal of healthcare engineering, 5(2), 163-184.
64
Susi, G., Cristini, A., Salerno, M., & Daddario, E. (2014, November). A low-cost indoor and outdoor terrestrial autonomous navigation model. In Telecommunications Forum Telfor (TELFOR), 2014 22nd (pp. 675-678). IEEE.
65
Braier, J., Lattenkamp, K., Rthel, B., Schering, S., Wojatzki, M., & Weyers, B. (2014). Haptic 3D Surface Representation of Table-Based Data for People With Visual Impairments. ACM Transactions on Accessible Computing (TACCESS), 6(1), 1.
66
Nazemi, A., Murray, I., & McMeekin, D. A. (2014). Layout analysis for Scanned PDF and Transformation to the Structured PDF Suitable for Vocalization and Navigation. Computer and Information Science, 7(1), p162.
67
Shamim, A., Balakrishnan, V., & Tahir, M. (2014). Evaluation of opinion visualization techniques. Information Visualization, 1473871614550537.
68
Khan, S. R., & Bhat, M. S. (2014, March). GUI based industrial monitoring and control system. In Power and Energy Systems Conference: Towards Sustainable Energy, 2014 (pp. 1-4). IEEE.
69
Richardson, L. J. (2014). Public archaeology in a digital age (Doctoral dissertation, UCL (University College London)).
70
Evreinova, T. V., Evreinov, G., & Raisamo, R. (2014). An Exploration of Volumetric Data in Auditory Space. Journal of the Audio Engineering Society, 62(3), 172-187.
71
Evreinova, T. V., Evreinov, G., & Raisamo, R. From kinesthetic sense to new interaction concepts: feasibility and constraints.
72
AlRoobaea, R., & Mayhew, P. J. (2014, August). The impact of usability on e-marketing strategy in international tourism industry. In Science and Information Conference (SAI), 2014 (pp. 961-966). IEEE.
73
Alroobaea, R., & Mayhew, P. J. (2014, August). How many participants are really enough for usability studies?. In Science and Information Conference (SAI), 2014 (pp. 48-56). IEEE.
74
Kse, G. (2014). Sinirli Alanlarda Konu Tespit ve Takibi Iin Genisletilmis Bir Mimari Yapi nerisi.
75
Hartanto, C. (2014). Service Design in Application of Renewing and Redefining User Interface of Smart TV. Taipei University of Technology Interactive Media Design Institute dissertations, 1-96.
76
Visittrakoon, P., Nhewbang, W., Jenjob, K., Waranusast, R., & Pattanathaburt, P. nuVision: A Mobility Aid for the Navigation of Visually Impaired People using Depth Information.
77
Yang, S., Wang, Y., & Wei, J. (2014). Integration and consistency between web and mobile services. Industrial Management & Data Systems, 114(8), 1246-1269.
78
Santos, W. R. D. (2014). Consumidor de mídias móveis: a influência do perfil do adotante na relação entre valor percebido e intenção de compra.
79
Arai, K. Psychological Status Monitoring with Cerebral Blood Flow: CBF, Electroencephalogram: EEG and Electro-Oculogram: EOG Measurements.
80
Song, F., Tan, X., Liu, X., & Chen, S. (2014). Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognition, 47(9), 2825-2838.
81
Mangaiyarkarasi, M., & Geetha, A. Cursor control system using facial expressions for human-computer interactions. International Journal in Computer Science &Electronics (IJTCSE), Annamalai University, Chidambaram, India. ISSN, 0976-1353.
82
Tzionas, D., Srikantha, A., Aponte, P., & Gall, J. (2014). Capturing hand motion with an RGB-D sensor, fusing a generative model with salient points. In Pattern Recognition (pp. 277-289). Springer International Publishing.
83
Al-Tairi, Z. H., Rahmat, R. W. O., Saripan, M. I., & Sulaiman, P. S. (2014). Skin Segmentation Using YUV and RGB Color Spaces. JIPS, 10(2), 283-299.
84
Ghotkar, A. S., & Kharate, G. K. (2014). Study of vision based hand gesture recognition using Indian sign language. Computer, 55, 56.
85
Kaur, S., Banga, V., & Amritsar, I. (2014). Boltay Hath for Indian Sign Language Recognition. International Journal of Applied Information Systems, 7(1), 1-7.
86
Muttena, S., Sriram, S., & Shiva, R. (2014, November). Mapping gestures to speech using the kinect. In Science Engineering and Management Research (ICSEMR), 2014 International Conference on (pp. 1-5). IEEE.
87
Konwar, A. S., Borah, B. S., & Tuithung, C. T. (2014, April). An American Sign Language detection system using HSV color model and edge detection. In Communications and Signal Processing (ICCSP), 2014 International Conference on (pp. 743-747). IEEE.
88
Hasija, K., & Mehna, R. Analysis of various methodology of hand gesture recognition system using Matlab. International Journal of Advanced Engineering Research and Science, (5), 28-32.
89
Potnis, S. S., Jahagirdar, A. P. A. S., & Jahagirdar, A. P. A. S. Nav view search.
90
Bidgar, G., Autade, M., Marathe, P., & Aher, S. Hand Gesture Recognition for HCI (Human-Computer Interaction) using Artificial Neural Network.
91
Potnis, S. S., & Jahagirdar, A. P. A. S. Real Time Hand Gesture Recognition for Smart Classroom Environment.
92
Singhai, S., & Satsangi, C. S. (2014). Hand Segmentation for Hand Gesture Recognition.
93
Shi, Y., Yan, Z., Ge, H., & Mei, L. (2014). Visual Objects Location Based on Hand Eye Coordination. In Future Information Technology (pp. 403-408). Springer Berlin Heidelberg.
94
Kovalenko, M., Antoshchuk, S., & Sieck, J. (2014, March). Real-Time Hand Tracking and Gesture Recognition Using Semantic-Probabilistic Network. In Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on (pp. 269-274). IEEE.
95
Sharma, K., & Garg, N. K. (2014). International Journal of Computer Application and Technology.
96
Kaur, S., & Banga, V. K. Article: Boltay Hath for Indian Sign Language Recognition}. International Journal of Applied, 7, 1-7.
97
Escalona Neira, I. F. (2014). Interfaz humano máquina controlada por gestos.
98
Roobaea AlRoobaea, Ali H. Al-Badi and Pam J. Mayhew (2013), " The Impact of the Combination between Task Designs and Think-Aloud Approaches on Website Evaluation Journal of Software and Systems Development, Vol. 2013 (2013), Article ID 172572, DOI: 10.5171/2013. 172572
99
Roobaea AlRoobaea, Ali H. Al-Badi and Pam J. Mayhew, Generating a Domain Specific Inspection Evaluation Method through an Adaptive Framework International Journal of Advanced Computer Science and Applications(IJACSA), 4(6), 2013.
100
Roobaea S. AlRoobaea, Ali H. Al-Badi and Pam J. Mayhew, Generating an Educational Domain Checklist through an Adaptive Framework for Evaluating Educational Systems International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013.
101
Beri, B., & Singh, P. (2013). Web Analytics: Increasing Websites Usability and Conversion Rate. International Journal of Computer Applications, 72(6), 35-38.
102
Mesalu, H. (2013). Automated Rule-Based Selection and Instantiation of Layout Templates for Widget-Based Microsites (Doctoral dissertation, MSc thesis, Institute of Computer Science, University of Tartu, Tartu, Estonia).
103
Dunlea, A. L. (2013). Evaluating Usability Evaluations.
104
Mesalu, H. (2013). Automaatne reeglitel phinev veebilehe struktuurimallide valimine ja rakendamine (Doctoral dissertation, Tartu likool).
105
Coskunay, D. F. (2013).Identifying the Factors Affecting Users Adoption of Social Networking. International Journal of Human Computer Interaction (IJHCI), 4(1), 1.
106
MISHRA, S., & VAISH, A.Key factors leading roi of e-commerce websitesan users perspective.
107
Bozkurt, A., & Bozkaya, M. (2013). Bir grenme Malzemesi Olarak Etkilesimli E-Kitap Hazirlama Adimlari. Egitimde Politika Analizi, 2(2), 8-20.
108
Ivan, L., & Fernandez-Ardevol, M. (2013). Older People and Mobile Communication in Two European Contexts. Revista Romna de Comunicare si Relatii Publice, (3), 83-98.
109
Fernndez-Ardvol, M., & Ivan, L. (2013). Older People and Mobile Communication in Two European Contexts. Romanian Journal of Communication and Public Relations Revista romn de Comunicare i Relaii Publice, 83.
110
Poyil, A. T., & Hema, C. R. Algorithms for Brain Mobile Phone Interfaces: A Survey.
111
Rianto, R. F. (2013). Usability Testing on Flight Searching Website Using Heuristic Evaluation. Information Systems, 2, 4.
112
Alfarras, M. (2013). Early Detection of Adult Valve Disease-Mitral Stenosis Using The Elman Artificial Neural Network. International Journal of Computer Science and Network Security (IJCSNS), 13(11), 101.
113
Shrawankar, U., & Thakare, V. (2013). An Adaptive Methodology for Ubiquitous ASR System. arXiv preprint arXiv:1303.3948.
114
Germonprez, M., Allen, J. P., Warner, B., Hill, J., & McClements, G. (2013). Open source communities of competitors. interactions, 20(6), 54-59.
115
Nazemi, A., & Murray, I. (2013). An open source reading system for print disabilities.
116
Alroobaea, R. S., Al-Badi, A. H., & Mayhew, P. J. (2013, November). Generating a Domain Specific Checklist through an Adaptive Framework for Evaluating Social Networking Websites. In IJACSA) International Journal of Advanced Computer Science and Applications, Special Issue on Extended Papers from Science and Information Conference (p. 25).
117
AlRoobaea, R., Al-Badi, A. H., & Mayhew, P. J. Research Article The Impact of the Combination between Task Designs and Think-Aloud Approaches on Website Evaluation.
118
Ryu, J. S., & Murdock, K. (2013). Consumer acceptance of mobile marketing communications using the QR code. Journal of Direct, Data and Digital Marketing Practice, 15(2), 111-124.
119
Coşkunçay, D. F. (2013). Identifying the Factors Affecting Users’ Adoption of Social Networking. International Journal of Human Computer Interaction (IJHCI), 4(1), 1.
120
Arai, K., & Mardiyanto, R. (2013). Method for psychological status estimation by gaze location monitoring using eye-based human-computer interaction. Editorial Preface, 4(3).
121
Ghani, M. U., Chaudhry, S., Sohail, M., & Geelani, M. N. (2013, December). GazePointer: A real time mouse pointer control implementation based on eye gaze tracking. In Multi Topic Conference (INMIC), 2013 16th International (pp. 154-159). IEEE.
122
Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
123
Kulkarni, S., & Gala, S. (2013). A Simple Algorithm for Eye Detection and Cursor Control. International Journal of Computer Technology and Applications, 4(6), 880.
124
Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
125
Arai, K., & Mardiyanto, R. (2013). Method for psychological status estimation by gaze location monitoring using eye-based human-computer interaction. Editorial Preface, 4(3).
126
Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
127
Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
128
Arai, K., & Mardiyanto, R. (2013). Method for psychological status estimation by gaze location monitoring using eye-based human-computer interaction. Editorial Preface, 4(3).
129
Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
130
Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
131
Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
132
Sarkar, A. R., Sanyal, G., & Majumder, S. (2013). Hand gesture recognition systems: a survey. International Journal of Computer Applications, 71(15).
133
Dhruva, N., Rupanagudi, S. R., & Kashyap, H. N. (2013). Novel Algorithm for Image Processing based Hand Gesture Recognition and its Application in Security. In Advances in Computing, Communication, and Control (pp. 537-547). Springer Berlin Heidelberg.
134
Pansare, J. R., Dhumal, H., Babar, S., Sonawale, K., & Sarode, A. (2013). Real Time Static Hand Gesture Recognition System in Complex Background that uses Number system of Indian Sign Language. International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), 2(3), 1086-1090.
135
Patidar, S., & Satsangi, D. C. (2013). Hand Segmentation and Tracking Technique using Color Models. Hand, 1(2).
136
Ghotkar, A. S., & Kharate, G. K. (2013). Vision based Real Time Hand Gesture Recognition Techniques for Human Computer Interaction. International Journal of Computer Applications, 70(16).
137
Priyadharshni, V., Jose, M. J., Anand, M. S., Kumaresan, A., & Kumar, N. M. (2013). Hybrid Image Segmentation Using Edge Detection With Fuzzy Thresholding For Hand Gesture Image Recoginition. International Journal of Innovative Research and Development, 2(5).
138
Tumkor, S., Esche, S. K., & Chassapis, C. (2013, November). Hand Gestures in CAD Systems. In ASME 2013 International Mechanical Engineering Congress and Exposition (pp. V012T13A008-V012T13A008). American Society of Mechanical Engineers.
139
Boughnim, N., Marot, J., Fossati, C., & Bourennane, S. (2013). Hand posture recognition using jointly optical flow and dimensionality reduction. EURASIP Journal on Advances in Signal Processing, 2013(1), 1-22.
140
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