A Brief Study on Face Expression Recognition System

Divya Khanna

doi:10.55524/

Authors

Divya Khanna Assistant Professor, Department of Computer Applications, RIMT University, Mandi Gobindgarh, Punjab, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Algorithm, Detection, Extraction, Face Expression Recognition (FER), System

Abstract

The most significant type of expressive is body language. Nonverbal communication. Face expression recognition (FER) systems have been developed to serve real-world applications rather than laboratory settings, owing to advances in hardware and sensor technologies. FER is a technique of communicating social information without the need of words. FER may be utilized in a number of settings, including healthcare, education, criminal investigation, and HMI (Human Robot Interface) (HRI). FER systems are being utilized in a variety of industries, including healthcare, robotics, education, and entertainment. In this article, the author discusses Face Expression Recognition and the steps involved in the FER system, such as face detection, extraction, and expression categorization. Everything, like any new technology, has advantages and drawbacks. When utilizing the AFEW dataset, the FER system also has a problem with accuracy, since the accuracy is only 50%. With the advancement of technology, this precision will increase in the future. As a result, the FER system has a promising future.

Downloads

Download data is not yet available.

References

Çarıkçı M üg., Özen F. A Face Recognition System Based on Eigenfaces Method. Procedia Technol. 2012;

Siddiqi MH, Ali M, Abdelrahman Eldib ME, Khan A, Banos O, Khan AM, et al. Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets. Multimed Tools Appl. 2018;

Luo W, Feng W, He W, Wang NY, Luo YJ. Three stages of facial expression processing: ERP study with rapid serial visual presentation. Neuroimage. 2010;

Lenc L, Král P. Automatic face recognition system based on the SIFT features. Comput Electr Eng. 2015;

Kalaiselvi P. Face Recognition System under Varying Lighting Conditions. IOSR J Comput Eng. 2013;

Dong H, Wu H, Liu Z, Gao X, Pi A, Li J, et al. Penetration characteristics of pyramidal projectile into concrete target. Int J Impact Eng. 2020;

Chandra N, Parida S. Quantum entanglement in photon induced electron spectroscopy of atoms and molecules its generation, characterization, and applications. In: Advances in Imaging and Electron Physics. 2016.

Rihan A, Quaisarperween, Gaurav K, Jayanand, Durg VR. Effect of butylated hydroxyanisole on hydrogen peroxide induced oxidative stress on cerebral glioma cell line. Asian J Pharm Clin Res. 2014;

Jain RK, Kumar A, Singh NL, Tommasino L, Singh BK. Measurement of peak fluence of neutron beams using Bi fission detectors. Pramana - J Phys. 2012;

Bhardwaj S, Singhal N, Gupta N. Adaptive neurofuzzy system for brain tumor. In: Proceedings of the International Conference on Innovative Applications of Computational Intelligence on Power, Energy and Controls with Their Impact on Humanity, CIPECH 2014. 2014.

Duksh YS, Kaushik BK, Agarwal RP. FDTD technique

based crosstalk analysis of bundled SWCNT interconnects. J Semicond. 2015;

Goel AR, Ranjan A, Wajid M. VLSI architecture and implementation of statistical multiplexer. In: Proceedings of the International Conference on Innovative Applications of Computational Intelligence on Power, Energy and Controls with Their Impact on Humanity, CIPECH 2014. 2014.

Jayanand, Gupta M, Sinha A, Insa I, Rai D V. Antibacterial potential of Cymbopogon flexuosus oil against Enterobacter aerogenes and Klebsiella pneumoniae. Biomed. 2014;

Gaurav A, Singh R. Pharmacophore modeling, 3DQSAR, and docking-based design of polysubstituted quinolines derivatives as inhibitors of phosphodiesterase 4, and preliminary evaluation of their anti-asthmatic potential. Med Chem Res. 2014;

Román-Quesada N, González-Navarro B, Izquierdo-Gómez K, Jané-Salas E, Marí-Roig A, Estrugo-Devesa A, et al. An analysis of the prevalence of peripheral giant cell granuloma and pyogenic granuloma in relation to a dental implant. BMC Oral Health. 2021;

Agarwal N, Gupta P, Gupta P, Naik S, Upadhyay N. Recurrent bimaxillary radiopacities: A rare case report. Contemp Clin Dent. 2012;

Huang CLC, Hsiao S, Hwu HG, Howng SL. The Chinese Facial Emotion Recognition Database (CFERD): A computer-generated 3-D paradigm to measure the recognition of facial emotional expressions at different intensities. Psychiatry Res. 2012;

Sharma S, Vijayaraghavan V, Tandon P, Kumar DRV, Sharma H, Rao Y. Dental education: Current scenario and future trends. J Contemp Dent Pract. 2012;

Gupta DS, Goyal AK, Tandon PN, Jurel SK, Srivastava S, Dangi UR, et al. Platyhelminthes in tongue - A rare case and review. J Oral Maxillofac Surg. 2012;

Gupta DS, Tandon PN, Sharma S, Jurel SK, Majumder K. Intraglandular tooth - Rare case report of tooth in submandibular salivary gland duct. J Oral Maxillofac Surg. 2011;

Rambach RW, Taiber J, Scheck CML, Meyer C, Reboud J, Cooper JM, et al. Corrigendum: Visualization of Surface Acoustic Waves in Thin Liquid Films. Scientific Reports. 2016.

Pathak D, Pratap Singh R, Gaur S, Balu V. To study the influence of process parameters on weld bead geometry in shielded metal arc welding. In: Materials Today: Proceedings. 2021.

Stojkovikj S, Oklevski S, Jasuja OP, Najdoski M. Visualization of latent fingermarks on thermal paper: A new method based on nitrogen dioxide treatment. Forensic Chem. 2020;

Pathak D, Singh RP, Gaur S, Balu V. Influence of input process parameters on weld bead width of shielded metal arc welded joints for AISI 1010 plates. In: Materials Today: Proceedings. 2020.

Parashar S, Chawla VK. A systematic review on sustainable green fibre reinforced composite and their analytical models. In: Materials Today: Proceedings. 2020.