Sian Lun Lau
Sunway University, Computing and Information Systems, Faculty Member
- Sunway University College, Computing and Information Systems, Faculty Memberadd
ABSTRACT Indoor localization is an important research challenge for context aware computing. Although various solutions and products are developed based on Wi-Fi received signal strength indicator (RSSI) fingerprinting-based indoor... more
ABSTRACT Indoor localization is an important research challenge for context aware computing. Although various solutions and products are developed based on Wi-Fi received signal strength indicator (RSSI) fingerprinting-based indoor localization, the construction of a complete and high quality database of fingerprints is a challenge, because in particular human involvement is usually required in such methods. We have developed the unsupervised Density-based Clustering Combined Localization Algorithm (DCCLA) to address this problem. The fingerprints of meaningful locations in people's daily lives can be automatically learned without requiring explicit data labelling from users. In this paper an extensive experimental investigation of the performance of DCCLA is presented. These experiments focus on Wi-Fi signal propagation conditions, including the distance to an Access Point (AP), the damping of the signal, and Fast Fading. The parameters used in DCCLA are determined based on these performance analysis and evaluation.
ABSTRACT In less than two decades, mobile communication has developed from a niche application to a mass-market high-tech product, having experienced an unprecedented growth never achieved by any other technology, whether radio,... more
ABSTRACT In less than two decades, mobile communication has developed from a niche application to a mass-market high-tech product, having experienced an unprecedented growth never achieved by any other technology, whether radio, television, or even the Internet [1]. The technologies that have revolutionized communication started with the classical fixed telecommunication networks. On these networks, we have real-time communication using different media such as classical telephony using voice. Apart from the classical fixed telecommunication net works, another major area of growth has, of course, been the Internet. In its wake, services such as voice communication "enhanced" by video (e.g., Video Skype and Apple Facetime) have followed. Also, instant messaging is a form of real-time communications using text messages. Then we have asynchronous communications with two success stories: short message service (SMS) and e-mail.
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ABSTRACT Context awareness is an important enabler of future applications in ubiquitous environments and has the potential to free the user from the control loop in a situation where he faces ever more connected devices. The context of a... more
ABSTRACT Context awareness is an important enabler of future applications in ubiquitous environments and has the potential to free the user from the control loop in a situation where he faces ever more connected devices. The context of a user can be accessed using data gathered from the user's personal devices and devices in his proximity. In this paper we examine the relation between time synchronisation of devices and context reasoning accuracy. For an application where we detect different activities of an office worker from acceleration data measured at the wrists, we show that insufficient time synchronisation leads to a significant decrease of reasoning accuracy. We show this for six commonly used classification learning algorithms that otherwise offer high accuracy provided devices are time synchronised. We also analyse the reasons that causes a lack of time synchronisation and why known synchronisation protocols are not applicable in ubiquitous environments. To solve the problems imposed by insufficient time synchronisation we propose a conceptual change in the communication paradigm used in architectures for context awareness.
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... We want to compare these approaches and find out how they perform and function in a given environment. One prototype implementation will be the measurement of data volume in a real scenario of a context aware meeting room. ...
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In today's increasingly mobile society, car manufacturers and suppliers worldwide face the imperative requirement and have already been working to reduce the number of people killed in traffic accidents. In this context pedestrian... more
In today's increasingly mobile society, car manufacturers and suppliers worldwide face the imperative requirement and have already been working to reduce the number of people killed in traffic accidents. In this context pedestrian protection respectively collision avoidance between cars and pedestrians is of vital importance. Several approaches exist to detect pedestrians but only a few of them are able to work without line of sight and/ or only have a very brief view of the movement history of the pedestrian. However, radio communication based systems which exchange GPS based position information of the pedestrian and the car might have a detailed view to the movement history but the update frequency of GPS positions provided by the mobile phone reduces the speed of the system and might induce false alarms. In this paper, the additional use of pedestrian movement recognition using an acceleration sensor implemented in a mobile phone in the area of collision avoidance between cars and pedestrian is presented and a performance analysis is carried out using the results of an experiment. Finally, the benefits of this approach to the reduction of false alarms and detection of endangered pedestrians are discussed.
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ABSTRACT Context awareness is an important enabler of future applications in ubiquitous environments and has the potential to free the user from the control loop in a situation where he faces ever more connected devices. The context of a... more
ABSTRACT Context awareness is an important enabler of future applications in ubiquitous environments and has the potential to free the user from the control loop in a situation where he faces ever more connected devices. The context of a user can be accessed using data gathered from the user's personal devices and devices in his proximity. In this paper we examine the relation between time synchronisation of devices and context reasoning accuracy. For an application where we detect different activities of an office worker from acceleration data measured at the wrists, we show that insufficient time synchronisation leads to a significant decrease of reasoning accuracy. We show this for six commonly used classification learning algorithms that otherwise offer high accuracy provided devices are time synchronised. We also analyse the reasons that causes a lack of time synchronisation and why known synchronisation protocols are not applicable in ubiquitous environments. To solve the problems imposed by insufficient time synchronisation we propose a conceptual change in the communication paradigm used in architectures for context awareness.
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ABSTRACT Tragically, traffic accidents involving pedestrians or cyclists cause thousands of fatalities and serious injuries world- wide every year. Therefore, improving the safety of vulnerable road users is an international priority. One... more
ABSTRACT Tragically, traffic accidents involving pedestrians or cyclists cause thousands of fatalities and serious injuries world- wide every year. Therefore, improving the safety of vulnerable road users is an international priority. One key challenge in designing an "ideal" protection system is to filter the endangered pedestrians out of potentially many. In this paper, we present a novel approach to proactively filter those pedestrians whose very next step would bring them (dangerously) closer to the street so as to provide an extra and crucial time advantage for a collision avoidance system. To predict a pedestrian's next step, we use the Collaborative Context Predictor. It takes advantage of collaborative behaviour patterns, in this case the movement patterns of the pedestrians. As well, a comparison with two state of the art context prediction approaches is carried out. The comparison is performed using real measured movement data, which is received from a smartphone the pedestrians carry in their trouser pocket.
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... B. Experimental Configuration For the evaluation we apply the CCP and the local Align-ment ... result from four different context history combinations of users, combined with three different window sizes ... In the comparison of the... more
... B. Experimental Configuration For the evaluation we apply the CCP and the local Align-ment ... result from four different context history combinations of users, combined with three different window sizes ... In the comparison of the single-mode datasets and the all-mode datasets we ...
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ABSTRACT The 2nd Workshop on recent advances in behavior prediction and pro-active pervasive computing focuses on contributions that target recent challenges of context prediction and on applications of context prediction. The main... more
ABSTRACT The 2nd Workshop on recent advances in behavior prediction and pro-active pervasive computing focuses on contributions that target recent challenges of context prediction and on applications of context prediction. The main challenges are a lack of benchmarks and common data sets, as well as a lack of development frameworks and that the main focus of context prediction still remains location prediction. Since context prediction is a key requirement to enable proactive applications, the workshop aims to intensify the discussion about the state and direction of context prediction research and to facilitate collaboration among research groups focusing on context prediction.
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... We want to compare these approaches and find out how they perform and function in a given environment. One prototype implementation will be the measurement of data volume in a real scenario of a context aware meeting room. ...
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This is the proof version of the chapter. This chapter focuses on how participatory speculative design was set up within the context of healthy ageing in Malaysia. Four workshops were developed and implemented with a range of... more
This is the proof version of the chapter.
This chapter focuses on how participatory speculative design was set up within the context of healthy ageing in Malaysia. Four workshops were developed and implemented with a range of stakeholders, from senior citizens to technical experts involved in the development of technologies and policies on ageing and health. The participatory workshops led to the development of a few emergent prototypes by the researchers as proof of concept. At the same time, the workshop unearthed a number of challenges involved in introducing speculative design as participatory approach for tackling present problems with policy implications, ranging from the localized context of policy-making to the mental-readiness of participants.
This chapter focuses on how participatory speculative design was set up within the context of healthy ageing in Malaysia. Four workshops were developed and implemented with a range of stakeholders, from senior citizens to technical experts involved in the development of technologies and policies on ageing and health. The participatory workshops led to the development of a few emergent prototypes by the researchers as proof of concept. At the same time, the workshop unearthed a number of challenges involved in introducing speculative design as participatory approach for tackling present problems with policy implications, ranging from the localized context of policy-making to the mental-readiness of participants.