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A Smart Receptionist Implementing Facial Recognition and Voice Interaction
Osman Mohammed Ahmed, Ahmad R. Hadaegh, Yanyan Li
Pages - 37 - 47 | Revised - 30-06-2021 | Published - 01-08-2021
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Face Recognition, Deep Learning, Django Framework, Image Processing.
ABSTRACT
The purpose of this research is to implement a smart receptionist system with facial recognition and voice interaction using deep learning. The facial recognition component is implemented using real time image processing techniques, and it can be used to learn new faces as well as detect and recognize existing faces. The first time a customer uses this system, it will take the person’s facial data to create a unique user facial model, and this model will be triggered if the person comes the second time. The recognition is done in real time and after which voice interaction will be applied. Voice interaction is used to provide a life-like human communication and improve user experience. Our proposed smart receptionist system could be integrated into the self check-in kiosks deployed in hospitals or smart buildings to streamline the user recognition process and provide customized user interactions. This system could also be used in smart home environment where smart cameras have been deployed and voice assistants are in place.
| 1 | Google Scholar  |
| 2 | Semantic Scholar |
| 3 | refSeek |
| 4 | BibSonomy |
| 5 | Doc Player |
| 6 | J-Gate |
| 7 | Scribd |
| 8 | SlideShare |
| A. Holovaty and J. Kaplan-Moss, The Definitive Guide to Django: Web Development Done Right, Berkeley, CA: Apress, 2009. | |
| D. Cupková, F. Hendrichovský, P. Papcun and I. Zolotová, "Cloud-enabled Assisted Living: The Role of Robot Receptionist in The Home Environment," 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2019, pp. 129-133, doi: 10.1109/SAMI.2019.8782787. | |
| E. J. Hwang, B. Kyu Ahn, B. A. Macdonald and H. Seok Ahn, "Demonstration of Hospital Receptionist Robot with Extended Hybrid Code Network to Select Responses and Gestures," 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 8013-8018, doi: 10.1109/ICRA40945.2020.9197160. | |
| E. Levas, D. Leon and Y. Li, "A Smart Class Chatbot for Improving Student Learning and Engagement", in 2021 1st Computer Science Conference for CSU Undergraduates (CSCSU), Virtual Conference, 2021. | |
| E. Salvador and G. L. Foresti, “Interactive Reception Desk with Face Recognition-based Access Control,” in 2007 First ACM/IEEE International Conference on Distributed Smart Cameras. IEEE, 2007, pp. 140–146. | |
| H. H. Lwin, A. S. Khaing, and H. M. Tun, “Automatic Door Access System Using Face Recognition,” Int. J. Sci. Technol. Res, vol. 4, no. 6, pp. 294–299, 2015. | |
| J. Devlin, M.W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2019, pp. 4171–4186. | |
| J. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, “Regularization Studies of Linear Discriminant Analysis in Small Sample Size Scenarios with Application to Face Recognition,” Pattern recognition letters, vol. 26, no. 2, pp. 181–191, 2005. | |
| L. Ni, C. Lu, N. Liu, and J. Liu, “Mandy: Towards A Smart Primary Care Chatbot Application,” in International symposium on knowledge and systems sciences. Springer, 2017, pp. 38–52. | |
| M. A. Abuzneid and A. Mahmood, "Enhanced Human Face Recognition Using LBPH Descriptor, Multi-KNN, and Back-Propagation Neural Network," in IEEE Access, vol. 6, pp. 20641-20651, 2018, doi: 10.1109/ACCESS.2018.2825310. | |
| M. Podpora, A. Gardecki, and A. Kawala-Sterniuk, “Humanoid Receptionist Connected to IoT Subsystems and Smart Infrastructure is Smarter than Expected,” IFAC-PapersOnLine, vol. 52, no. 27, pp. 347–352, 2019 | |
| N. Rekha and M. Kurian, “Face Detection in Real Time Based on HOG,” International Journal of Advanced Research in Computer Engineering & Technology, vol. 3, no. 4, 2014. | |
| O. Carlsson and D. Strom, “Designing a Virtual Receptionist Using Contextual Information and Natural Interfaces,” Master’s thesis, 2015. | |
| R. Karunasena, P. Sandarenu, M. Pinto, A. Athukorala, R. Rodrigo and P. Jayasekara, "DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems," 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), 2019, pp. 378-383, doi: 10.1109/ICARM.2019.8834299. | |
| R. Khandke, D. Singh, S. Pawar and D. Kadam, “Face recognition door lock using IoT”, International Research Journal of Engineering and Technology, vol. 7, no. 2, 2020 | |
| Y. Pang, L. Zhang, M. Li, Z. Liu, and W. Ma, “A Novel Gabor-LDA based Face Recognition Method,” in Pacific-Rim Conference on Multimedia. Springer, 2004, pp. 352–358. | |
| Y. Yang and L. Li, "The Design and Implementation of a Smart e-Receptionist," in IEEE Potentials, vol. 32, no. 4, pp. 22-27, July-Aug. 2013, doi: 10.1109/MPOT.2012.2213851. | |
Mr. Osman Mohammed Ahmed
Department of Computer Science and Information Systems, California State University San Marcos, San Marcos, 92096 - United States of America
Dr. Ahmad R. Hadaegh
Department of Computer Science and Information Systems, California State University San Marcos, San Marcos, 92096 - United States of America
ahadaegh@csusm.edu
Mr. Yanyan Li
Department of Computer Science and Information Systems, California State University San Marcos, San Marcos, 92096 - United States of America
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