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Non-invasive Diabetes Detection using Facial Texture Features Captured in a Less Restrictive Environment

2019 International journal of recent technology and engineering  
This paper explores the performance of using mobile device as a convenient tool for image capture of DM and healthy dataset for non-invasive detection using facial block texture features and Gabor filter  ...  A total of 100 images from each camera were captured, preprocessed, filtered and iterated to compare performance of data. 90% accuracy, 93% sensitivity and 93% specificity were achieved for 12mp with SVM  ...  Using the filter bank of five scales and eight orientation combination, the texture features of a facial image were calculated resulting to a column vector with one texture value for each filter.  ... 
doi:10.35940/ijrte.b1584.0982s1119 fatcat:dza7h6sdwrdn3hjcwdgkfni7s4

Deception detection using artificial neural network and support vector machine

Nidhi Srivastava, Sipi Dubey
2018 Biomedical Research  
The Mel frequency cepstrum coefficient, energy, zero crossing rate, fundamental frequency and frame function of speech signal and physical values like heart-beat, blood pressure and respiratory rate are  ...  used to model the linear detector model.  ...  For each frame calculate the periodogram estimate of the power spectrum 3. Apply the mel filter bank to the power spectra, sum the energy in each filter. 4.  ... 
doi:10.4066/biomedicalresearch.29-17-2882 fatcat:4jerx3nporda5on63ujprowwku

The 1st Challenge on Remote Physiological Signal Sensing (RePSS) [article]

Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan
2020 arXiv   pre-print
The 1st challenge of RePSS focuses on measuring the average heart rate from facial videos, which is the basic problem of remote physiological measurement.  ...  Remote measurement of physiological signals from videos is an emerging topic.  ...  ROI average pooling is used to resize facial areas to the size of W×H for the heart rate estimation neural network, where W =H=36.  ... 
arXiv:2003.11756v1 fatcat:zsn4x2tilrfv7gu7dvvydbrrxy

Multi-channel Correlation Filters

Hamed Kiani Galoogahi, Terence Sim, Simon Lucey
2013 2013 IEEE International Conference on Computer Vision  
Modern descriptors like HOG and SIFT are now commonly used in vision for pattern detection within image and video.  ...  From a signal processing perspective, this detection process can be efficiently posed as a correlation/convolution between a multi-channel image and a multi-channel detector/filter which results in a singlechannel  ...  Facial Landmark Localization We evaluated our method for facial landmark localization on the Labeled Faces in the Wild (LFW) database 1 , including 13,233 face images stemming from 5749 subjects.  ... 
doi:10.1109/iccv.2013.381 dblp:conf/iccv/GaloogahiSL13 fatcat:qjqgi7ugwfe5tdyfjfznlmykme

A Literature Review on Computer Assisted Detection of Follicles in Ultrasound Images of Ovary

R. Saranya, S. Uma Maheswari
2012 International Journal of Computer Applications  
This paper reviews follicle detection in the ovary ultrasound images by using different techniques.  ...  It is mainly used for imaging liver, kidney, uterus, heart, brain etc.  ...  This method increases the recognition rate. extract the bright features from the background ultrasound image by using tophat transform.  ... 
doi:10.5120/7403-0350 fatcat:ioeevxsk4ncrdd5wsiu4qdhgte

A Hybrid Pain Detection Technique using SVM Parameter Optimization and Contourlet-Gabor Transform Feature Fusion

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper highlights automatic pain expression recognition from facial images of pain. This technique is frequently used in healthcare applications.  ...  It is based on the concepts of fusion of contourlet transform with Gabor transform for feature extraction, and classification of expressions by using SVM.  ...  In this particular channel bank (Figure 1 ), initially, the Laplacian Pyramid (LP) can be put to use to determine the point dissection of the picture succeeding the directional filter bank (DFB) in straight  ... 
doi:10.35940/ijitee.l3902.1081219 fatcat:dfhhfiwfnjclbj4jmxm54qxhlm

Development and Implementation of VLSI Reconfigurable Architecture for Gabor Filter in Medical Imaging Application

Megha Hegde, P. Agalya Sivakumar
2018 International Journal of Engineering and Management Research  
A Tonsillitis detection system is proposed here using Gabor filtering approach. This system detects the presence of Tonsillitis from the tonsils images.  ...  A suitable VLSI architecture for the implementation of the Gabor filter was modeled in Verilog using Xilinx tool and simulated using the tonsils test images.  ...  cells from Mammogram images a 2-D Gabor filters is used for extracting the space-time based texture features from the mammogram images [3] , A bank of Gabor filters is used in medical image segmentation  ... 
doi:10.31033/ijemr.8.3.10 fatcat:i6oydpbtxbfztlcigq6vbbzdfq

An Automated Framework for Patient Identification and Verification Using Deep Learning

Suresh Tommandru, Domnic Sandanam
2020 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
The majority of the identification or verification is being done by wristbands, RFID tags, fingerprint, face detection by using handcraft feature-based face recognition systems.  ...  [18] have developed a method to predict the heart rate of the patient from a web camera video. Extracted the facial features by using Viola-jones method.  ...  The applications of face recognition are patient identification and verification in medical emergencies [25] , patient heart rate estimation [26] , accessing out-patient information through electronic  ... 
doi:10.18280/ria.340605 fatcat:mqhe7jtv6rbmbfknqxsvd2qgfi

Dynamic heart rate measurements from video sequences

Yong-Poh Yu, P. Raveendran, Chern-Loon Lim
2015 Biomedical Optics Express  
This paper shows how dynamic heart rate measurements that are typically obtained from sensors mounted near to the heart can also be obtained from video sequences.  ...  In this study, two experiments are carried out where a video camera captures the facial images of the seven subjects.  ...  Acknowledgment This research is supported by High Impact Research Chancellory Grant UM.C/HIR/MOHE/ENG/42 from the University of Malaya.  ... 
doi:10.1364/boe.6.002466 pmid:26203374 pmcid:PMC4505702 fatcat:niaxbj2rinfujosklp373hddz4

Comparative Studies for the Human Facial Expressions Recognition Techniques

Sheena Gaur, Mayank Dixit, Sayed Nasir Hasan | Anwaar Wani | Tanveer Kazi | Ahsan Z Rizvi
2019 Zenodo  
Then it talks about the identification of the face and then the techniques for extracting the features from the face.  ...  This article reviews the different techniques for recognizing facial expressions. First, it gives a description of the emotions their types and the techniques to measure the emotions.  ...  Filter banks normally have 6 unique orientations and have frequencies dispersed at halfoctaves.  ... 
doi:10.5281/zenodo.3591554 fatcat:2eydmw4wergrfk63xpnxwbha4u

Continuous Distant Measurement of the User's Heart Rate in Human-Computer Interaction Applications

Przybyło
2019 Sensors  
In real world scenarios, the task of estimating heart rate (HR) using video plethysmography (VPG) methods is difficult because many factors could contaminate the pulse signal (i.e. a subjects' movement  ...  Three algorithms for estimating pulse rate were used: power spectral density (PSD), autoregressive modeling (AR) and time domain analysis (TIME).  ...  Heart Rate Estimation Algorithm To estimate the heart rate we used three different algorithms.  ... 
doi:10.3390/s19194205 pmid:31569798 pmcid:PMC6806289 fatcat:tmx46vuh4rhvzg63y3clalqbna

Proceedings of 3rd IEEE International Conference on Image Processing

1996 Proceedings of 3rd IEEE International Conference on Image Processing ICIP-96  
rate image communication Buffer control algorithm for low bit-rate video compression Accurate automatic frame fitting for semantic-based moving image coding using a facial code-book Segmented image  ...  Adaptive quantization of image subbands with efficient overhead rate Transform coding using adaptive bases and quantization Transform image coding based on joint adaptation of filter banks and tree structures  ... 
doi:10.1109/icip.1996.559416 fatcat:jb4cdydgf5edtdljfuzj423ozu

International Conference on Image Processing

1996 Proceedings of 3rd IEEE International Conference on Image Processing  
Adaptive quantization of image subbands with efficient overhead rate Transform coding using adaptive bases and quantization Transform image coding based on joint adaptation of filter banks and tree  ...  rate image communication Buffer control algorithm for low bit-rate video compression Accurate automatic frame fitting for semantic-based moving image coding using a facial code-book Segmented image  ... 
doi:10.1109/icip.1996.560353 fatcat:le3ysy6wxrfr7nq56ueropy7tu

Affective Robot Story-telling Human-Robot Interaction: Exploratory Real-time Emotion Estimation Analysis using Facial Expressions and Physiological Signals

Mikel Val-Calvo, Jose Ramon Alvarez-Sanchez, Jose Manuel Ferrandez-Vicente, Eduardo Fernandez
2020 IEEE Access  
-098969-B-100 from the Ministerio de Ciencia, Innovación y Universidades, and the project PROMETEO/2019/119 from the Generalitat Valenciana.  ...  ACKNOWLEDGMENT We want to acknowledge the Programa de Ayudas a Grupos de Excelencia de la Región de Murcia, from Fundación Séneca, Agencia de Ciencia y Tecnología de la Región de Murcia, the project RTI2018  ...  Second, a filter bank, based on sixth-order Butterworth filters, is applied for all n, c, and s, within a set of 5 non-overlapping bandwidths: B.  ... 
doi:10.1109/access.2020.3007109 fatcat:pe6mbhijhncb5fsvrer6zxesma

Recognizing Facial Expressions Using Model-based Image Interpretation [chapter]

Matthias Wimmer, Zahid Riaz, Christoph Mayer, Bernd Radig
2008 Advances in Human Computer Interaction  
This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer  ...  facial expressions visible.  ...  [17] utilize a bank of 40 Gabor wavelet filters at different scales and orientations to extract features directly from the image.  ... 
doi:10.5772/5912 fatcat:vigwr3ws35cb5ixdz7e6343qcq
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