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In this paper a new pupil detection algorithm based on RANSAC procedure is presented. Unlike other similar algorithms reported in the literature, the proposed algorithm provides higher accuracy, low running time and operates properly in noise conditions and for variable illumination. This algorithm is used in the field of assistive technology in order to communicate with neuromotor disabled people...
The analysis of electroencephalographic (EEG) signals for motor imagery applications using the partial directed coherence (PDC) method highlights significant differences between channel pairs that correspond to movement and movement imagination brain activities. We improve the analysis based on PDC by decomposing the EEG signal into frequency components, in order to identify the frequency bands that...
The physiological variation of heart rate, controlled by autonomic nervous system, is called Heart Rate Variability (HRV). Measuring HRV reveals a wide range of useful information about humans' body and health status, including prognostic issues.
Computer vision based detection can be used to identify hand gestures and movement and use these commands in order to implement a control system for a robotic platform. This paper presents the technical implementation of a hand movement and gesture detection system based on two VGA USB cameras and the control of a customizable robotic platform using the commands transmitted from a computer after image...
This paper proposes a new technique that can be used by patients with neuro-motor disabilities to control a PC by means of eye tracking. The technique uses a system that includes an infrared camera and a computer that processes the signals provided by the pupil detection algorithm. The software component is represented by the pupil detection algorithm, which offers information about the cursor position...
This paper describes the research for the design and implementation of a flexible, scalable and cost-effective medical system based on wireless sensors for remote monitoring of some vital physiological parameters. The proposed medical system has been designed to be integrated into a complex electronic system, based on assistive technologies, for assisting in the communication between the patients...
Monitoring of the evolution of the pregnancy from early stages presents high interest due to the possibility of identifying high risk situations that can be further managed by health care professionals. One of the more recent and promising methods of monitoring fetal and maternal physiological wellbeing is the electrohysterogram (EHG) which is a non-invasive technique of acquiring uterine electrical...
The implementation of a hand gesture detection using a stereo camera system is used to determine the hand position in a space described by two intersecting planes and the finger position by determining the finger tips, which leads to the classification of the hand image viewed from above into six different types. The hand movement is simulated using a 3D model implemented in Matlab programming language...
In this paper we propose to investigate the possibility to use the randomness from different types of arrhythmias for detection and classification of them from ECG signals. Randomness present in discrete time series is strongly connected with complexity of information present in substrings associated with time series and an appropriate coding of the RR interval associated with a complexity measure...
Because sleep disorders are common in a significant part of the entire population with diseases of the central nervous system, continuous monitoring of respiration during sleep has an important role in early diagnosis and treatment. The paper describes the research for the design and realization of a flexible, scalable and cost-effective medical monitoring device suitable to be used with patients...
The paper presents the analysis of methods used to implement eye blinking selection in an eye tracking system used in assistive technology for patients with neuro-motor disabilities. The system uses for selection the key words technology or ideograms presented on the user's screen. The method used for blinking detection is based on image segmentation using an adaptive local threshold determined using...
The paper presents a technique used for the detection of the eye pupil center coordinates by using the least squares approach. The algorithm realizes the fitting of the ellipse to a group of input data points provided by the eye image collected using a video camera in infrared illumination. The method can be used in the area of assistive technology to implement an eye tracking system used to communicate...
The purpose of this paper is to compare two established threshold selection methods used for eye image segmentation: quantitative fixed threshold and Kittler minimum error threshold with a new one based on characteristic selection adaptive threshold. This method relies on identifying the characteristic that describes the pixels that belong to the eye pupil. The results are obtained by using as reference...
Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated circuits and wireless communications have led to the design and fabrication of low-cost, low-power, miniature, and intelligent physiological data acquisition devices. The...
This paper presents the implementation of a research project focused on the use of robotics as an effective tool in teaching technical disciplines to dyslexic children. Dyslexia is the most common learning disability and affects between 5 and 12 percent of all students. The goal of this project is to develop educational programs which will boost school performance of dyslexic children by using robotics...
This paper presents the implementation of an eye-tracking device based on the circular Hough transform algorithm. The proposed device is a part of a complex integrated system for assistance in communicating with and telemonitoring severe neuromotor disabled patients, which consists of an infrared video camera and a PC used to process the captured signals. The eye-tracker device that we have implemented...
The paper describes a software application running on Android mobile devices, used to help the neuromotor disabled patients to communicate with the clinicians or caretakers. The proposed application also include a telemonitoring (remote monitoring) component used to collect and process few physiological parameters of the patient. The application is part of a more complex communication and monitoring...
The paper presents a software application which implements a dialog between neuromotor disabled patients and clinicians. The patient can't speak normally, but he can manifest his intention by moving a finger or other body part which can be translated into a mouse click. The software application reads the mouse click and builds a message for the nurse or other clinician from that hospital. The nurse...
In the last three decades many research teams have been doing advanced researches to develop accurate positioning and telemonitoring technologies. We developed an experimental model, a very light and ergonomic mobile platform, to identify cases with high human risk factor inside buildings. For positioning we designed an advanced INS/ GPS integrated indoor navigation system miniaturized inertial tridimensional...
An approach based on independent component analysis (ICA) is described and tested. ICA was used for separating Mu and Beta rhythms generated in both hemispheres and for constructing spatial filters in preprocessing the electroencephalographic (EEG) data in brain computer interface (BCI) research. It was proposed a rest-to-work translation of spatial filters for EEG based BCI. Three different ICA algorithms...
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