The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Electrical Impedance Tomography (EIT) is an imaging technique used to display conductivity changes inside a region of an electrically conductive body. EIT-based sensors are low-cost, can be applied over 3D surfaces, and show multi-touch sensing capabilities, but their drawback is their low spatial resolution. In this paper we propose to solve the EIT reconstruction problem with Artificial Neural Networks...
This research describes skin disease recognition by using neural network which based on the texture analysis. There are many skin diseases which have a lot of similarities in their symptoms, such as Measles (rubeola), German measles (rubella), and Chickenpox etc. In general, these diseases have similarities in pattern of infection and symptoms such as redness and rash. Diagnosis and recognition of...
Automated, efficient and accurate classification of skin diseases using digital images of skin is very important for bio-medical image analysis. Various techniques have already been developed by many researchers. In this work, a technique based on meta-heuristic supported artificial neural network has been proposed to classify images. Here 3 common skin diseases have been considered namely angioma,...
This work describes the application of portable Raman spectroscopy coupled with Artificial Neural Networks (ANN), to discern between diabetic patients and healthy controls, with a high degree of accuracy (Acc=89.7±6.6%). This technique is relatively low-cost, simple and comfortable for the patient, yielding rapid diagnosis. These features make our method a promising screening tool for identifying...
The autonomic nervous system is highly affected by the Diabetic Autonomic Neuropathy (DAN) which can also change various metabolic transitions. This causes changes in heart rate as well as in skin impedance. The objective of this work is to determine the impact of Diabetes on Heart Rate Variability (HRV) and skin impedance changes. The galvanic skin resistance or skin impedance measurement and heart...
A challenge is indexing the facial beauty by a machine as same evaluated by human beings. A question arises: Can beauty be learnt by machines? Every individual have different concept of facial beauty. Somebody can be attracted by someone but might not be by another person. In recent past, many psychologists, neurologists and other scientists have done tremendous work in this area. This work presents...
Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. In this research paper, we provide an approach to detect various kinds of these diseases. We use a dual stage approach which effectively combines Computer Vision and Machine Learning on clinically evaluated histopathological...
Leprosy, also known as Hansen's disease, is a debilitating and chronic bacterial infection. As per World Health Organization's report, there were 189,000 chronic cases of Leprosy in 2012 with 230,000 new diagnoses. Although curable at later stages, an early diagnosis prevents nerve involvement and the disabilities it incurs. The authors henceforth propose a Convolutional Neural Network based architecture...
According to skin specialist, skin texture has close relation to an individual's health, hormones, hydration, and allergic symptoms. So by procuring one's image texture sample and exposing it to the imaging device we can identify the skin health. Texture analysis is an important tool to analyze the skin texture. The existing means of skin analysis is applicable only for isotropic images. Isotropic...
This paper presents the results of a study developing expert system to support stress recognition based on Artificial Neural Network (ANN). Developed ANN is trained using data from Physionet database and collected data from other researchers. The implemented system for stress recognition uses drivers ECG signal, Galvanic Skin Response and Respiration Rate as parameters. Developed neural network was...
Body temperature could be utilized for diagnosis of the many health related conditions. Since, tumors are highly vascular, temperature variations on the skin surface could be treated as a symptom for tumor detection. Therefore, infrared (IR) cameras could be used as a non ionizing, non contact, and a safe method of tumor detection. Studying thermograms obtained from such cameras, tumor parameters...
It is very important to scan the skin lesions in general population, and to forward suspicious cases to the dermatologists. Typically, the number of dermatologists is not enough for such a wide scanning campaign. Hence, an automated system and algorithms are required that can detect suspicious skin lesions. These systems should be highly accurate and sensitive. In this work, an automated system is...
Here a camera is placed in a public place. The video that obtained from the camera is taken as the input. From the video the face of human is extracted and discards other faces. From recent crime investigations it is know that rather than arising of new criminals, the crimes are being conducted by already registered criminals during their parole or coming out from jail after their sentence. In this...
This paper present the use of hand gestures for human-computer interaction, this paper presents an approach to identify hand gestures using muscle activity separated from electromyogram (EMG) using ANN. To retain a constraint-free user's environment, EMG sensing is limited to three arm muscles. EMG signals are processed to attain parameters that are related to the muscles temporal activities. The...
The paper presents new real skin artifact removal techniques when applied to a novel ANN based radar data processing approach for breast cancer detection. Realistic 2D breast geometries derived by the UWCEM database. When the ANN approach was trained and tested using an ideal cleaning technique the accuracy on the tumor detection was 91%. Using the best real cleaning technique proposed in this paper...
Today shopping markets pay attention towards customer needs and services. Unfortunately the blind and vision impaired person are still incapable to access these environments without reliance. Assistive technology is trying to sway the living style of the blind by introducing support systems for routinely actions like reading, writing, walking, Web surfing, and shopping. However, still the blind have...
This paper proposes alternative solution for pornographic rejection using eigenporn extracted by simplified linear discriminant analysis (LDA) of skin region of interests (ROIs) of pornographic images. The skin ROI is extracted by skin segmentation that is performed by threshold rule of YCbCr color space. The skin ROI is employed to handle the large variability of pornographic images due to backgrounds...
Skin appearance modeling using high resolution photography has led to advances in recognition, rendering and analysis. Computational appearance provides an exciting new opportunity for integrating macroscopic imaging and microscopic biology. Recent studies indicate that skin appearance is dependent on the unseen distribution of microbes on the skin surface, i.e. the skin microbiome. While modern sequencing...
Thermography depends upon the infrared thermograms which records temperature variations in desired region of interest. Thermal imaging or thermography is one of the alternative to the existing diagnosis methods for analyzing human body dysfunctions. Thermography provides information about temperature variations in human skin of different body parts. Inflammation in any part of human body causes temperature...
This paper presents a technique for real time human hand gesture recognition system for automatic tap operation. Hand gesture recognition based machines have been widely developed in recent years. Most of the techniques use skin color models due to its robustness and simplicity. In this work there are two major steps for achieving this goal: firstly, the detection of skin color and secondly, the classification...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.