Manuel Bautista Garcia
- W. Tao, M. C. Leu, and Z. Yin, "American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion," Engineering Applications of Artificial Intelligence, vol. 76, pp. 202-213, 2018/11/01/ 2018.Google Scholar
Cross Ref
- C. Oz and M. C. Leu, "American Sign Language word recognition with a sensory glove using artificial neural networks," Engineering Applications of Artificial Intelligence, vol. 24, pp. 1204-1213, 2011/10/01/ 2011.Google ScholarDigital Library
- B. L. Bayasut, G. P. Ananta, and A. K. Muda, "Intelligent biometric detection system for disabled people," in 2011 11th International Conference on Hybrid Intelligent Systems (HIS), 2011, pp. 346-350.Google Scholar
- D. Chiluisa-Castillo, F. Ortega-Barreto, V. Robles-Bykbaev, and F. Pesántez-Avilés, "An intelligent platform to design and develop low-cost assistive technologies and robotic assistants for children with disabilities," in 2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2018, pp. 1-4.Google Scholar
- K. Kawamura, S. Bagchi, M. Iskarous, and M. Bishay, "Intelligent robotic systems in service of the disabled," IEEE Transactions on Rehabilitation Engineering, vol. 3, pp. 14-21, 1995.Google ScholarCross Ref
- G. A. E. Khayat, T. F. Mabrouk, and A. S. Elmaghraby, "Intelligent serious games system for children with learning disabilities," in 2012 17th International Conference on Computer Games (CGAMES), 2012, pp. 30-34.Google Scholar
- A. Khetarpal, "Information and Communication Technology (ICT) and Disability," Review of Market Integration, vol. 6, pp. 96-113, 2014.Google ScholarCross Ref
- M. Manzoor and V. Vimarlund, "Digital technologies for social inclusion of individuals with disabilities," Health and Technology, 2018.Google Scholar
- M. J. A. Zahid, M. M. Ashraf, B. T. Malik, and M. R. Hoque, "Information Communication Technology (ICT) for Disabled Persons in Bangladesh: Preliminary Study of Impact/Outcome," Berlin, Heidelberg, 2013.Google Scholar
- E. Naves, L. Rocha, and P. Pino, "Alternative communication system for people with severe motor disabilities using myoelectric signal control," in 2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 2012.Google Scholar
- S. Gushi, H. Higa, H. Uehara, and T. Soken, "A mobile robotic arm for people with severe disabilities: Evaluation of scooping foods," in International Conference on Intelligent Informatics and Biomedical Sciences, 2017.Google Scholar
- M. B. Garcia, "A Speech Therapy Game Application for Aphasia Patient Neurorehabilitation – A Pilot Study of an mHealth App," International Journal of Simulation: Systems, Science & Technology, vol. 20, 2019.Google Scholar
- R. Santos, P. Sampaio, R. Sampaio, G. Gutierrez, and M. Almeida, "Assistive technology and its relationship to the quality of life of people with disabilities," Rev. Ter. Ocup. Univ. São Paulo, 2017.Google Scholar
- M. B. Garcia and N. U. Pilueta, "The VISIMP Portable Communications Device for Visually Impaired Individuals – Development and Feasibility Study of an Assistive Technology," Journal of Critical Reviews.Google Scholar
- D. M. Thounaojam, A. Trivedi, K. Manglem Singh, and S. Roy, "A Survey on Video Segmentation," New Delhi, 2014, pp. 903-912.Google Scholar
- P. Dhiman and M. Dhanda, "A Review on Various Techniques of Video Segmentation," International Journal for Innovative Research in Science & Technology, 2016.Google Scholar
- C. P. Y. Beevi and S. Natarajan, "A Novel Video Segmentation Algorithm with Shadow Cancellation and Adaptive Threshold Techniques," Berlin, Heidelberg, 2009, pp. 304-311.Google Scholar
- A. Vora and S. Raman, "Flow-free Video Object Segmentation," Computer Vision and Pattern Recognition, 2017.Google Scholar
- M. El Hassani, S. Jehan-Besson, L. Brun, M. Revenu, M. Duranton, Tschumperl, , "A Time-Consistent Video Segmentation Algorithm Designed for Real-Time Implementation," VLSI Design, vol. 2008, 2008.Google Scholar
- K. J. F. de Souza, A. D. A. Araújo, S. J. F. Guimarães, Z. K. G. do Patrocínio, and M. Cord, "Streaming Graph-Based Hierarchical Video Segmentation by a Simple Label Propagation," in 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015.Google Scholar
- C. Li, L. Lin, W. Zuo, W. Wang, and J. Tang, "An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition," IEEE Transactions on Image Processing, vol. 25, pp. 1947-1960, 2016.Google ScholarDigital Library
- A. Chaudhary, J. L. Raheja, K. Das, and S. Raheja, "Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey," Human-Computer Interaction, 2013.Google Scholar
- R. Verma and A. Dev, "Vision based hand gesture recognition using finite state machines and fuzzy logic," in 2009 International Conference on Ultra Modern Telecommunications & Workshops, 2009, pp. 1-6.Google Scholar
- C. Nolker and H. Ritter, "Visual recognition of continuous hand postures," IEEE Transactions on Neural Networks, vol. 13, 2002.Google ScholarDigital Library
- C. Hu, Q. Yu, Y. Li, and S. Ma, "Extraction of parametric human model for posture recognition using genetic algorithm," in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000.Google Scholar
- R. Elakkiya, K. Selvamani, S. Kanimozhi, R. Velumadhava, and A. Kannan, "Intelligent System for Human Computer Interface Using Hand Gesture Recognition," Procedia Engineering, vol. 38, pp. 3180-3191, 2012.Google ScholarCross Ref
- A. A. M. Faudzi, M. H. K. Ali, M. A. Azman, and Z. H. Ismail, "Real-time Hand Gestures System for Mobile Robots Control," Procedia Engineering, vol. 41, pp. 798-804, 2012/01/01/ 2012.Google ScholarCross Ref
- N. Zengeler, T. Kopinski, and U. Handmann, "Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras," Sensors, vol. 19, p. 59, 2018.Google ScholarCross Ref
- O. Sidek and M. Abdul Hadi, "Wireless gesture recognition system using MEMS accelerometer," in 2014 International Symposium on Technology Management and Emerging Technologies, 2014, pp. 444-447.Google Scholar
- L. Shi, Y. Wang, and J. Li, "A Real Time Vision-Based Hand Gestures Recognition System," Berlin, Heidelberg, 2010, pp. 349-358.Google Scholar
- S. S. Rautaray and A. Agrawal, "Real Time Gesture Recognition System for Interaction in Dynamic Environment," Procedia Technology, vol. 4, 2012.Google Scholar
- S. O. Oprea, A. Garcia-Garcia, S. Orts-Escolano, V. Villena-Martinez, and J. A. Castro-Vargas, "A long short-term memory based Schaeffer gesture recognition system," Expert Systems, vol. 35, p. e12247, 2018.Google ScholarCross Ref
- J. I. Koh, J. Cherian, P. Taele, and T. Hammond, "Developing a Hand Gesture Recognition System for Mapping Symbolic Hand Gestures to Analogous Emojis in Computer-Mediated Communication," ACM Transactions on Interactive Intelligent Systems, vol. 9, pp. 1-35, 2019.Google ScholarDigital Library
- G. Cicirelli, C. Attolico, C. Guaragnella, and T. D'Orazio, "A Kinect-Based Gesture Recognition Approach for a Natural Human Robot Interface," International Journal of Advanced Robotic Systems, vol. 12, p. 22, 2015.Google ScholarCross Ref
- R. Khan and N. Ibraheem, "Survey on Gesture Recognition for Hand Image Postures," International Journal of Computer and Information Science, 2012.Google ScholarCross Ref
- K. Murakami and H. Taguchi, "Gesture recognition using recurrent neural networks," presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New Orleans, Louisiana, USA, 1991.Google Scholar
- W. T. Freeman and R. Michal, "Orientation Histograms for Hand Gesture Recognition," IEEE International Workshop on Automatic Face and Gesture Recognition, 1995.Google Scholar
- M. B. Garcia, T. F. Revano, B. M. Habal, J. Contreras, and J. Enriquez, "A Pornographic Image and Video Filtering Application Using Optimized Nudity Recognition and Detection Algorithm," in 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management, 2018, pp. 1-5.Google Scholar
- L. He, X. Qiao, S. Wen, and F. Li, "Robust Object Tracking Based on Motion Consistency," Sensors, vol. 18, p. 572, 2018.Google ScholarCross Ref
- E. Stergiopoulou and N. Papamarkos, "Hand gesture recognition using a neural network shape fitting technique," Engineering Applications of Artificial Intelligence, vol. 22, pp. 1141-1158, 2009/12/01/ 2009.Google ScholarDigital Library
- M. Weng, G. Huang, and X. Da, "A new interframe difference algorithm for moving target detection," in 2010 3rd International Congress on Image and Signal Processing, 2010, pp. 285-289.Google Scholar
Index Terms
- Hand Alphabet Recognition for Dactylology Conversion to English Print Using Streaming Video Segmentation
Index terms have been assigned to the content through auto-classification.
Recommendations
An AI-Based Detection System for Mudrabharati: A Novel Unified Fingerspelling System for Indic Scripts
Text, Speech, and DialogueAbstractSign Language (SL) is a potential tool for communication in the hearing and speech-impaired community. As individual words cannot be communicated accurately using the SL gestures, fingerspelling is adopted to spell out names of people and places. ...
Fingerspelling Recognition in Mexican Sign Language (LSM) Using Machine Learning
Advances in Computational IntelligenceAbstractSign languages allow deaf people to express their thoughts, emotions, and opinions in a complex and complete way, just like oral languages. Each sign language is unique and has its own grammar, syntax, and vocabulary. Mexican Sign Language (LSM) ...
Segmentation of english Offline handwritten cursive scripts using a feedforward neural network
In the present paper, we used the Pixel Plot and Trace and Re-plot and Re-trace (PPTRPRT) technique for English offline handwritten curve scripts and leads. Unlike other approaches, the PPTRPRT technique prioritizes segmentation of words and characters. ...
Comments