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Detection of falling is an important research issue to develop smart healthcare technologies for elderly people as the population is rapidly increasing. To achieve the goal, accurate human tracking is imperative to detect a fall regardless of distance and occlusions. However, existing technologies are focusing on either 2D tracking with a single camera or 3D tracking using a depth camera (distance...
As IT technology develops rapidly, society is changing to where all things are connected together beyond the computing and mobile era. As a result, the global smart building market is steadily growing. However, these IoT technologies are somewhat currently limited to newer buildings, and it is a reality that they pay mainly through service companies. In order to popularize IoT technology, it should...
The analysis of the Variability of the Heart Rate (HRV) is coming as an important indicator for different clinical applications like the prediction of arrhythmias, sudden cardiac death, assessing cardiovascular and metabolic illness progression or in sports physiology. In this paper we have developed an algorithm to detect a supraventricular arrhythmia, by processing the heart rate variability (HRV)...
With the huge development and the latest technological advancement in mechatronics, prosthetic devices have acquired interest in many different fields such as medical and industrial fields. A prosthetic device can be an external wearable mobile machine that covers the body or part of it. It is generated by pneumatics and electric motors. It can be installed on an upper and lower limb. Moreover, it...
As eye tracking is becoming available in wearable or portable devices, eye movement (EM) analysis will be used to provide real time alerts, feedback, and/or assistive information for diversified objectives when performing tasks. However, we lack the methodologies to effectively analyze real time EM attributes including eye fixation numbers, durations, and especially visual scanpath sequences (i.e...
In this research, the development and testing of an intelligent wheelchair controller are presented. The system has been designed to help disabled and quadriplegic patients who have lost the ability to control their upper and lower limbs to use an electrical wheelchair without using joystick controller. The controller includes two sub-controllers operating in parallel which are voice and head tilts...
In this paper, we address the problem of gender classification based on facial images. The Speeded Up Robust Feature (SURF) algorithm descriptors are used as features to built dictionaries and a multi-task Sparse Representation Classification (SRC) is used as classifier to determine the gender of an individual face. Our approach uses smaller and compact dictionaries by removing the redundant atoms...
Photodynamic therapy (PDT) is a light-based treatment modality that has shown promise for treatment of early stage oral lesions and potential to be adaptable for successful implementation in resource limited settings. To operate in such conditions a PDT light source must be engineered to be robust and portable, with flexible fiber optic light delivery that provides stable output in the desired spectral...
Automatic systems are crucial for expanding the capabilities of surgeons, especially in minimally invasive surgery. In this paper we present an image processing system that detects in real time the surgical sponges in the video captured by the endoscope. This application is the first part of an automatic system to avoid the risk of inadvertent retention of gauzes in the patient body after the operation...
Cancer is classified by the World Health Organisation as a worldwide problem and its effect is increasing. A timely diagnosis is crucial and an early detection can be vital leading to an effective diagnosis. This paper proposes an automated classification system of prostate cancer using multispectral imagery for an early detection. It revolves around a block based texture analysis that uses multiscale...
Linea nigra (LN) is a linear hyperpigmentation of skin which can appear in men developing prostate cancer. Early diagnosis of such cancer can be made by image characterization. There generally exist low contrast between LN and surrounding areas in black skin images that influences segmentation accuracy. In this paper, this problem is addressed through a multispectral analysis of RGB color images using...
The segmentation of multispectral images is considered as a key step in image processing for biomedical applications. Performing this step using the appropriate methodology is a real issue that being investigated by the research community. In this paper, we propose a new algorithm to perform automatic segmentation based on k-means methodology within an automatic generation of the optimal value of...
Virtual Reality technology is spreading rapidly, and already existing in many fields nowadays. Education is one of the most important fields in life, therefore it should be in line with new technologies and lifestyles. In fact, applying technology in education, is facilitating the way of teaching and learning techniques. In this paper, a virtual reality application was developed for educational purposes...
In this paper, we propose a new method that can reconstruct the more accurate 3D surface point clouds from the standard laparoscopic (single camera) imaging system even with less sequential (less overlapped) and low quality images, which is a promising way to achieve a faster surgical guidance. The strength of our method is to find more accurate feature points that lead to precise 3D reconstruction...
The aim of this work is to design, implement and validate a primary communication system based on a brain-computer interface. There are people who — for various reasons — are affected in their ability to externalize their communication, however, they receive and process information from different sources. This system would allow basic communication — allowing the user to answer closed questions —...
This paper presents a multi-model biometric authentication database for human gait recognition. In contrast to the most known database available in literature that uses either machine vision, floor sensor based or wearable sensor techniques, we developed a public multi-model biometric database for human gait using wearable sensors and smartphone. Human gait data characteristics were recorded for 50...
Aroma monitoring is a critical aspect of food production and processing. The use of an electronic nose for this purpose is a promising approach. Here we present a platform for aroma analysis which is based on ion-sensitive field effect transistor and aptamers. As a proof-of-concept transistor modified with aptamer for vanillin was fabricated. The aptamer for aroma was selected by Capture-SELEX procedure...
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