Over the years Radial Basis Function (RBF) Kernel Machines have been used in Machine Learning tasks, but there are certain flaws that prevent their usage in some up-to-date applications (e.g., some Kernel Machines suffer from fast growth number of learning parameters whilst predicting data with large number of variations). Besides, Kernel Machines with single hidden layer have no...
Obesity, overweight, allergy and additives related disease are common health problems worldwide nowadays. Many of these problems directly relate to food consumption and dietary habits. Hence keep tracking food intake and knowing the consumed food ingredients are essential for a healthy life. However, tracking daily consumption is tedious, and seldom be kept for long. This paper...
In recent years, with the rapid development of wireless communication, the traditional cellular with isomorphic and regular structure has been unable to meet the increasing number of users and business needs involving data of big volume. The trend is evolving into Ultra Dense Network (UDN) architecture which is covered by cellular of irregular complex structure. In UDN, the...
As the scale of small satellite network is not large and the transmission cost is high, it is necessary to optimize the routing problem. We apply the traditional time-expanded graph to model the data acquisition of small satellite network so that we can formulate the data acquisition into a multi-commodity concurrent flow optimization problem (MCFP) aiming at maximizing the...
Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as slit lamp microscopy or Schirmer’s test strip have been used to quantify tear volume by ophthalmologist. However, these devices have access only in medical office and therefore have limited availability for the public. Tear volume changes with environmental...
With service types and requirements of broadband satellite internet continuously increasing, improving QoS (Quality of Service) of satellite internet has attracted extensive attention. To reduce the impact of self-similarity caused by various of service traffic sources converging on satellite communication system, this paper establishes a novel model from the perspective of self...
Today’s society is largely dependent on the Internet websites that provide it with access to various information. While most users take accessing information in this way as granted, some user groups have significant issues while trying to access websites by traditional means. In this context, we focus on persons with severe visual impairment that are unable to use websites that...
In this article, we propose a system for augmented card playing with a projector and a camera to add playfulness and increase communication among players of a traditional card game. The functionalities were derived on the basis of a user survey session with actual players. Playing cards are recognized using a video camera on the basis of a template matching without any artificial...
The interaction and interface design of Learning Analytics systems is often based upon the ability of the developer to extract information from disparate sources and not on the types of data and interpretive needs of the user. Current systems also tend to focus on the educator’s view and very rarely involve the user in the development process. From using HCI methods, we have...
Open education materials related to the author's HCI textbook were released in 2013 as a MOOC, published on interactiondesign. org, and used for flipped classroom teaching. Work is in progress to link these free open educational resources including substantial video and quizzes (some tutor-only) together with the (paid-for but open-to-all) book, to create a 'semantic textbook...
In this paper, we proposed the functional brain networks and graphic theory method to measure the effect of working memory training on the neural activities. 12 subjects were recruited in this study, and they did the same working memory task before they had been trained and after training. We architected functional brain networks based on EEG coherence and calculated properties...
In ambulatory assessment, psychologists apply experience sampling methods (ESM) on mobile devices to assess self-reports from subjects. One major challenge is to support domain experts to create ESM apps themselves without prior programming knowledge. When running ESM apps, subjects are prompted to answer self-reports time-triggered at fixed points in time or randomly. The...
Bipolar disorder is a common chronic recurrent psychosis and it mainly relies on doctors’ experience to determine the patient’s condition currently. We aimed to find a useful methodology to diagnose the mental state and guide medical treatment by using speech signal processing. Methods: Firstly, the feature classes were extracted (e.g., Pitch, Formant, MFCC, GT). Secondly, class...
Mechanical behavior, biocompatibility in body environment and tissues and chemical stability are the most important requirements for the effective application of any bio-implant materials in the human body. Among the known metals and alloys, stainless steels, CoCr alloys and Ti and its alloys are the most widely used materials in such applications. In case of their use, one of...
Managing traffic in urban areas is a complex affair. The same becomes more challenging when one needs to take into account the prioritized movement of emergency vehicles along with the normal flow of traffic. Although, mechanisms have been proposed to model intelligent traffic management systems, a concentrated effort to facilitate the movement of emergency services amongst urban...
In this research we investigate how the evidences provided by both static and mobile nodes that are part of a heterogenous sensor network can be combined to have trustworthy results. A solution relying on a network agreement-based approach was implemented and tested.
Activity recognition is a fundamental research topic for a wide range of important applications such as fall detection for elderly people. Existing techniques mainly rely on wearable sensors, which may not be reliable and practical in real-world situations since people often forget to wear these sensors. For this reason, device-free activity recognition has gained the popularity...
Meeting the target of 8000 steps/day, as recommended by many national governments and health authorities, can provide considerable physical and mental health benefits and is seen as a key target for reducing obesity levels and improving public health. However, to optimize the health benefits, walking should be performed at a “moderate” intensity. While there are numerous mobile...
In this paper we study cognitive radio networks with secrecy constraints on the primary transmission. In particular we consider several transmission schemes for the secondary transmitter, namely interference neutralization (IN) and cooperative jamming with and without clean relaying (CR). We derive and analyze the achievable secondary rate performance of the schemes. Furthermore...
Modern smartphones are powerful platforms that have become part of the everyday life for most people. Thanks to their sensing and computing capabilities, smartphones can unobtrusively identify simple user states (e.g., location, performed activity, etc.), enabling a plethora of applications that provide insights on the lifestyle of the users. In this paper, we introduce...
Information hiding techniques, especially steganography, have been extensively researched for over two decades. Nonetheless, steganography on smartphones over cellular carrier networks is yet to be fully explored. Today, smartphones, which are at the epitome of ubiquitous and pervasive computing, make steganography an easily accessible covert communication channel. In this paper...
Transportation is a key domain to address for promoting sustainability as it accounts for about one third of the energy consumption in the EU and in the US. Nevertheless, changing the transportation habits of citizens is a hard challenge. In this Special Issue of the EAI Endorsed Transactions on Ambient Systems, we present a selection of high-quality papers presented at the...
In this paper we introduce a gamification model for encouraging sustainable multi-modal urban travel in modern European cities. Our aim is to provide a mechanism that encourages users to reflect on their current travel behaviours and to engage in more environmentally friendly activities that lead to the formation of sustainable, long-term travel behaviours. To achieve this our...
APEX was developed as a framework for ubiquitous computing (ubicomp) prototyping through virtual environments. In this paper the framework is used as a platform for developing a serious game designed to instruct and to inform. The paper describes the Asthma game, a game aimed at raising awareness among children of asthma triggers in the home. It is designed to stimulate a...
Help4Mood is a system that supports the treatment of people with depression in the community. It collects rich cognitive, psychomotor, and motor data through a Personal Monitoring System and a Virtual Agent, which is then analysed by a Decision Support System; analysis results are fed back to patients and their treating clinicians. In this paper, we describe how the complex data...