Amirah ‘Aisha Badrul Hisham

Racer: A Simulated Environment Driving Simulator to Investigate Human Driving Skill

The identification and the quantification of human skill is one of the major characteristics to be considered in designing an algorithm for Human Adaptive Mechatronics (HAM) application. This paper focuses on studying the Racer software, as well as the relationship of data gained and the simulated environment. The fact that Racer is chosen as the tool is described. This paper discusses the details about the software used; Racer as the driving simulator environment during the experiment. The experimental setup, data extraction process and data conversion are explained further in this paper. The experimental results meet the purpose of data collection which provides variety set of data, including many options for cars and tracks. As a conclusion, Racer is a suitable software to be used. The utmost important, the further study of this research will help during the development of car assistance system.

Improvement of GPS Accuracy in Positioning by Using DGPS Technique

In today’s world, Global Positioning System (GPS) for tracking system plays an important role in tracking required locations. To obtain accurate location in developing the proposed system, several issues. Although Differential-GPS (DGPS) system is expensive, GPS module may have some errors and does not provide the accurate position information of the location. Therefore, the required location needs to have an accurate correction and improvement which can be achieved using DGPS technique. In this research, the proposed technique improves the position of the required location utilizing U-blox Neo 6 M receiver GPS module. With the proposed method, the position of the location is improved within 1–3 m.

Comparisons of skill index algorithm in driving for human adaptive mechatronics

Currently, Human Machine System (HMS) considers being a proven technology, which has gained an important role in various human activities. One of the most recent developments in this area is Human Adaptive Mechatronics (HAM) approach for enhancing human skills. This approach therefore is different compared to an ordinary HMS, in terms of its ability to adapt to the changes in its environment and in the human changing level of skills. The crucial issue in HAM is in evaluating the human skills level on machine operation. Therefore, this paper discussed about the comparisons between the proposed formula to quantify and classify the skill index of human operator with the Fuzzy Logic and other formula. An experiment using a driving car simulator is carried out to clarify those formulas in machine manipulation system. From the comparison it is found that the proposed formulas give better result compared to Fuzzy Logic System and other formula.