The driver’s condition, which involves staying focus on the road, is the most important aspect to consider whenever one is driving. To ignore the importance of this could result in severe physical injuries, deaths and economic losses. Again, previous researches were focused mainly on the physical conditions of the driver; eg movement of head and drowsiness. However, this research is focused on the driver’s heart rate by using an infrared heart-rate sensor or pulse sensor. These sensors are non-intrusively measured heart pulse wave from the driver’s heart. By doing experiment, the results show clear pulse wave signal can be obtained by looking at the low to high frequency (LF/HF ratio) which calculate HRV frequency domain of the driver’s heart rate time series. The LF/HF ratio shows decreasing trends as the drivers go from the state of being awake and alert to the state of drowsiness. Therefore, accidents can be avoided if there is an alert system to keep the drivers alert and focused on the road.

Characterization of phantom material based on its electrical properties across 1 to 6 GHz is investigated and presented in purpose for modelling of a human head phantom. This article presents five phantom samples mimicking main head tissues, which are the tissue of grey matter, white matter, cerebral spinal fluid (CSF), blood and skin. The preparation of phantom samples is performed by using common and cheap materials, which are jelly powder, gelatine, water and sugar. The characteristics of materials used are discussed on the composition ratios and electrical properties. The electrical properties of materials are measured using a special dielectric coaxial probe connected to a vector network analyser (VNA). The obtained data is analysed in terms of relative permittivity,  and conductivity,  for the observation and further discussion on the characterizations. This phantom of the human head tissues later can be applied in the microwave imaging system for a further study on the health monitoring of the human body.