Enhanced indoor positioning utilising wi-fi fingerprint and QR calibration techniques

The growing interest in location-based services (LBS), due to the demand for its application in personal navigation, billing and information enquiries, has expedited the research development for indoor positioning techniques. The widely used global positioning system (GPS) is a proven technology for positioning, navigation, but it performs poorly indoors. Hence, researchers seek alternative solutions, including the concept of signal of opportunity (SoOP) for indoor positioning. This research planned to use cheap solutions by utilizing available communication system infrastructure without the need to deploy new transmitters or beacons for positioning purposes. Wi-Fi fingerprinting has been identified for potential indoor positioning due to its availability in most buildings. In unplanned building conditions where the available number of APs is limited and the locations of APs are predesignated, certain positioning algorithms do not perform well consistently. In addition, there are several other factors that influence positioning accuracy, such as different path movements of users and different Wi-Fi chipset manufacturers. To overcome these challenges, many techniques have been proposed, such as collaborative positioning techniques, data fusion of radio-based positioning and mobile-based positioning that uses sensors to sense the physical movement activity of users. A few researchers have proposed combining radio-based positioning with vision-based positioning while utilizing image sensors. This work proposed integrated layers of positioning techniques, which is based on enhanced deterministic method; Bayesian estimation and Kalman filter utilising dynamic localisation region. Here, accumulated accuracy is proposed with distribution of error location by estimation at each test point on path movement. The error distribution and accumulated accuracy have been presented in graphs and tables for each result. The proposed algorithm has been enhanced by location based calibration with additional QR calibration. It allows not only correction of the actual position but the control of the errors from being accumulated by utilizing the Bayesian technique and dynamic localisation region. The position of calibration point is determined by analysing the error distribution region. In the last part, modification on Kalman filter step for calibration algorithm did further improve the location error compared to other deterministic algorithms with calibration point. The CDF plots have shown all developed techniques that provide accuracy improvement for indoor positioning based on Wi-Fi fingerprinting and QR calibration

A Conceptual Model using Ambient Assisted Living to Provide a Home Proactive Monitoring System for Elderly People in the Kingdom of Saudi Arabia

The growth in the ageing population is rapidly increasing and their care cost will be a challenging issue in the future. The number of elderly people worldwide (defined as those aged 60 years and older) was 202 million in 1950; this number has since quadrupled to reach 901 million and is expected to triple again by 2100. In particular, the number of elderly people in the Kingdom of Saudi Arabia (KSA) is increasing rapidly, from 5% of the total population in 2015 to a forecasted 20.9% by 2050. Clearly, the cost of taking care of elderly people is already a challenge, but it will be very difficult to meet in the future, when it will lead to a much higher expenditure on healthcare facilities. Furthermore, although elderly people are vulnerable to a decline in their health, they do not wish to live as they did in the 1970s to 1990s. Instead, their desire is to live independently in their own homes and continue to practice normal activities. In fact, Saudi culture is changing, and the children tend not to live with their parents as they used to. However, the literature review indicates that there is a lack of professionally designed systems that can fulfil the growing needs or requirements of elderly people in the KSA. These demographic changes raise a number of challenges related to the elderly people’s quality of life, including health, autonomy, care, social communication, and the utilisation of institutional services. These challenges require novel approaches to provide dependable self-adapting technological innovations. The era of Information and Communication Technology (ICT) has changed the world of the ageing population. Ambient Assisted Living (AAL) aims to improve the quality of life of elderly people, and to provide them with technologies and services that support their daily activities, help them to live longer and remain independently at home. The aims and objectives of this research are to review Ambient Assisted Living Technology, to provide examples of relevant technologies and applications, and to examine attitudes and perceptions of elderly people towards using AAL technologies in the KSA. This research also explores the factors of AAL, identifying those that affect the adoption of these technologies in the KSA, by conducting a systematic review, and using quantitative and qualitative analyses. The questionnaire results showed that elderly Saudi Arabians are willing and intending to accept and use AAL technologies, and that there are many factors that influence their adoption and use of AAL technologies. This provides an insight for solutions to the provision of support for their independent living. Thus, we developed a conceptual model using AAL to provide a Home Proactive Monitoring System (AALHPMS) that supports the stakeholders in adopting AAL technologies. We envisage that the AALHPMS can fulfil the needs and requirements of elderly people, motivate healthcare providers to implement AAL technologies, and assist the Saudi Government to make suitable provision for issues associated with the ageing population. In addition, a knowledge-based-system was built using a rule-based system. Experiments using Smart watches were conducted to monitor the heart rates. Further experiments using ZigBee, Bluetooth beacons, and surveillance cameras technology were also undertaken for monitoring the movement of elderly persons at their home. A website was also developed to disseminate knowledge related to ageing population and AAL technology in Saudi Arabia