Camallil Omar

Wheelchair Motion Control Guide Using Eye Gaze and Blinks Based on PointBug Algorithm

In this paper, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair; eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the microcontroller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. PoingBug algorithm is used to navigate the wheelchair in Auto controlling method. Simulated results are similar to Tangent Bug algorithm results, but experimental tests are slightly improved in some cases where the surroundings have sharp edges.

Gaze at Desired Destination, and Wheelchair Will Navigate towards It. New Technique to Guide Wheelchair Motion Based on EOG Signals

In this work, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair, eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the micro controller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. Tangent Bug algorithm is used to navigate the wheelchair in Auto controlling method. Experimental results are similar to simulated with minimum error, due to minimal positioning and sensing errors.

Wheelchair motion control guide using eye gaze and blinks based on bug 2 algorithm

In this work, we propose a new approach alongside the typical method, to control the motorized wheelchair using EOG signals. The new approach grants the user to look around without restraint, while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair; eye gazing and blinking. The user can still appoint to control the wheelchair using the typical manual method in case the surroundings and obstacle structures do not assist with the new developed auto navigation method. In the new auto navigation approach the microcontroller can attain the goal point direction and distance by calculating the gaze angle of the user. Bug2 algorithm is utilized to navigate the wheelchair in the auto controlling method. Experimental tests show slightly different results than theory, because the bug algorithms cannot continuously update the robots position data in experiments.

Development and measurement properties of prosthetics users' survey

The need to measure and evaluate prosthetics practice has received growing recognition in the past several years. Reliable and valid self-report instruments are needed that can help facilities evaluate patient outcomes. Evidence of construct validity is provided by hierarchies of item difficulty that are consistent with clinical experience. A survey with 16 completed survey returned from hospital and rehabilitation centre. The instruments demonstrate adequate internal consistency of mean 4.0 for satisfaction with services, mean 3.81 for satisfaction with devices and 16.67% for defects or drawbacks of devices. Documenting mechanical stability of the prosthesis is inadequate when reporting follow-up studies and a questionnaires assessing patient satisfaction should be added to provide a better picture of the outcome and results.

Prosthetics: Health quality of life effects of limb loss

This study investigates and compares clinical outcome and patient health related quality of life in Malaysia who still undergoing routine prosthetic care. It was developed to access the quality of life that can be used in hospitals and clinics. It aims to establish how widespread the quality of life effects of limb loss. Reliability and validity are needed that can help facilitate patient outcomes. A survey with 16 completed surveys was returned from rehabilitation centre and hospital. The instruments demonstrate adequate internal consistency of average mean 3.44 for health related quality of life. Two overseas sample data from America and India were then made comparison with the existing data to provide a better picture of the assessment of patient satisfaction with the devices. The impact that limb loss can have on patients and their lives should not be underestimated. In this study it affected 64.4% of the respondents.

Design of an A-mode ultrasound amplifier for bone porosity detection

This paper presents the development of an A-mode ultrasound circuit in bone densitometry system. There are other bone densitometry systems available such as X-Ray, MRI and others. However, the system are found to have several disadvantages such as involving ionizing radiation, taking longer time to setup, and so on. In addition, demand for the bone diagnostic is also increasing and due to that the idea to develop ultrasound circuit has emerged. The information regarding the ultrasound circuit has been studied as well as parameters related for bone density measurement. 1MHz frequency has the highest absorption for bone. The ultrasound circuit consists of a pulse generator system, high voltage pulse circuit, transducer for transmitter and receiver part, instrumentation amplifier and oscilloscope. The FPGA is chosen as a pulse generator and output from the FPGA is connected to MOSFET to create a pulse signal using a switching technique and enables voltage amplitude of the signal to be changed. The circuit was tested on human arm and heel to evaluate the signal strength with varying distance between the transducer and voltage signal amplitude. This testing proved that the A-mode ultrasound circuit is successfully transmitted ultrasound signal through human heel.

MATLAB Implementation of Face Identification Using Principal Component Analysis

Face is the greatest superior biometric as the face has a complex, multidimensional and meaningful identity compared from one person to another. Face identification is executed by comparing the characteristics of the face (test image) with those of known individual images in the database. This paper describes the used of the Principal Component Analysis (PCA) algorithm for human face identification based on webcam image. The MATLAB is used as a tool for image processing and analysis. The important decision to identify the person is by the minimum distance of the face images and known face images in face space. From the results, it can be concluded that the work has successfully implemented the PCA algorithm for human face identification through a webcam.