Search Results - (( facial expression data algorithm ) OR ( java application customization algorithm ))

Facial features point localization using modified SIFT scale space / Zulfikri Paidi by Paidi, Zulfikri

“…Surface change creates high-dimensional data during feature extraction work. There are many algorithms proposed for recognition of facial expressions, including SIFT algorithms that are considered superior in performing feature extraction. …”
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Facial expression recognition using stretchable sensor and multilayer feedforward backpropagation neural network by Safi’e, Siti Nur Safira, Zainul Azlan, Norsinnira, Tasneem, Zabina, Mohammed Shweesh, Osamah Ebrahim, Suwarno, Iswanto

“…Therefore, this study proposes a facial expression recognition system based on stretchable sensor data for controlling the movement of a robotic hand. …”
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Anger Detection in Monitoring Drivers’ Facial Expression using Mobile App by Ee, Min Jie

“…In order to detect driver’s angry facial expression, image processing algorithm will be applied and implemented in this project. …”
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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

“…The human face is essential in conveying emotions, as facial expressions serve as effective, natural, and universal indicators of emotional states. …”
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Performance analysis for facial expression recognition under salt and pepper noise with median filter approach by Idris, Azrini

“…Facial expression recognition has recently become a promising research area. …”
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Human Spontaneous Emotion Detection System by Radin Monawir, Radin Puteri Hazimah

“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

“…Human emotions are very complex and hard to identify based on their facial expressions and appearance. Humans can hide their emotions with positive appearance and facial expression. …”
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Mental health detection based on facial recognition using CNN algorithm / Muhammad Azim Azfar Rozihan by Rozihan, Muhammad Azim Azfar

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Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

“…To be more specific, it is regarding facial expression recognition based on deep learning. …”
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3D Face Analysis using Tensor Approach by Suriani, Ab Rahman

“…A face dataset consists of faces with a combination of multiple underlying causal factors such as facial expression, expression intensity, angle of view, gender and race, and the bilinear technique alone is incapable of accurately representing the dataset’s multidimensionality. …”
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Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection by Lai Po Hung, Suraya Alias

“…So besides writer sentiments, writer emotion is also a valuable data. Emotion detection can be done using text, facial expressions, verbal communications and brain waves; however, the focus of this review is on text-based sentiment analysis and emotion detection. …”
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Development Of Hierarchical Skin-Adaboost-Neural Network (H-Skann) For Multiface Detection In Video Surveillance System by Zakaria, Zulhadi

“…Automatic face detection is mainly the first step for most of the face-based biometric systems today such as face recognition, facial expression recognition, and tracking head pose. …”
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GLCM correlation approach for blood vessel identification in thermal image by Rusli, Nazreen, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ishak, Nor Izzati

“…The autistic children are less able to present emotion through facial expression. We hypothesize that, the impact of cutaneous temperature changes due to blood flows in the blood vessels could be correlated to specific emotion state for healthy as well as autistic children. …”
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Emotion Modelling Using Neural Network by Lam, Choong Kee

“…Six primary emotions considered in this study are anger, disgust, fear, happiness, sadness and surprise. For data preparation, front views of child facial expression images have been captured with Sony Cybershot DSC U50 digital camera and extrated using MATLAB Image Processing toolbox. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…Researchers investigated many methods to capture and recognise emotion, such as through speech, facial expression, and physiological signals. Electroencephalogram (EEG) signals are found to be the best physiological signals that contain valuable information about human mental state. …”
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Twelve anchor points detection by direct point calculation by Khalid, Fatimah, Tengku Sembok, Tengku Mohd, Omar, Khairuddin

“…Although, as the experiment data sets have become larger, algorithms have become more sophisticated even if the reported recognition rates are not as high as in some earlier works. …”
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Twelve Anchor Points Detection by Direct Point Calculation by Khalid, F., Sembok, T.M.T, Omar, K.

“…Although, as the experiment data sets have become larger, algorithms have become more sophisticated even if the reported recognition rates are not as high as in some earlier works. …”
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Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Face emotion recognition using artificial intelligence techniques by Kartigayan Muthukaruppan

“…The fitness functions are utilized by genetic algorithm (GA) to find the optimized values of minor axes. …”
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