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Crowdsensing is a sensing method which involves participants from general public to collect sensed data from their mobile devices, and also contribute and utilize a common database. To ensure a crowdsensing system to operate properly, there must be certain effective and efficient incentive mechanism to attract users and stimulate them to submit sensing data with high quality. Intuitively, the agreement...
With the advancements in mobile sensors and health-care technologies, mobile health (mHealth) services are growing in demand. However, the deployment of mHealth's applications in rural and underdeveloped areas remains a major challenge, despite the investments made, largely due to unreliable communication infrastructures. In this paper, we propose delivering mHealth data in a highly disruptive wireless...
The increase in the use of mobile devices from the first decade of this century has enabled users to perform several activities previously only possible through personal computers. However, the use of these devices is impacted by their known computational limitations, such as data processing, RAM memory, storage, and energy autonomy limitations. Considering this context, to measure the impact of the...
Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
Considering an incomplete signals acquisition due to a sparse beacon deployment, this paper proposes a generalized similarity filter to improve the performance of proximity detection and thus guarantee the quality of proximity-based service (PBS). In particular, this paper leverages Bluetooth Low Energy (BLE) Beacons to realize a PBS system which comprises a number of Proximities of Interest (PoIs)...
The population growth and the parallel increase in health spending, inadequate number of physicians and the growing interest of people to access health services in the comfort of their own homes necessitated a serious transformation in health systems. This has prompted health professionals to conduct research to develop solutions that enable them to monitor and assess patients' health remotely. In...
Electro-mechanical devices for sensing, actuation, and communication are necessary ingredients for the ongoing 4th industrial revolution. Piezoelectricity plays an important role in electromechanical conversion, and is e.g. used in ultrasonic imaging and mobile phone communication. The drive for miniaturization will result in a strong demand for piezoelectric thin films, with improved, optimized properties...
The use of smart devices has become an integrated part of our everyday life. Communication is now possible any place and any time. The distraction caused by these devices, however, can lead to potentially dangerous situations. To mitigate these situations, various researchers have proposed and developed solutions to analyze the environment and to alert the user if a situation is evaluated dangerous...
Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart...
Designing circuits for enhanced IoT (“Internet of Things”) applications is one of the current growth driver for the electronics industry. Optimizing such circuits for lowest power consumption while maximize functionality and performance is key for successful implementation of such circuits in the IoT systems. IoT devices are diverse in nature but are typically constrained by limited power availability,...
More and more people are using mobile phones for sensing and supporting their daily lives. With some signal and digital processing methods, every mobile phone could be used for sensing different activities or behaviors that people do every day. Increasingly, wireless sensor networks (WSNs) are being integrated with Mobile Phone Sensing (MPS) and this trend will be seen mainly in urban environments...
this paper introduces a new generation an error modelling of wireless indoor localization. A newly designed algorithm modelling by using Kalman Filter is developed to optimize the wireless indoor localization system based on iBeacon sensors. It is designed to detect and minimize the errors. Matlab simulations, implementation, and validation are presented in the paper.
Recent years have witnessed tremendous advances in wearable technology with many applications ranging from health and fitness, sports, security, and more recently augmented reality. Classical body area networks have been reduced to small, wearable devices such as smart watches where signal acquisition is accompanied by processing or streaming to a more powerful device such as a smart phone (or “fog”),...
An integral enabler of the smart city vision is the ability to effectively model collective population behaviour. The realisation of sustainable smart mobility is underpinned by the effective modelling of the spatial movements of the population. Furthermore, it is also crucial to identify significant deviations in collective behaviour over time. For example, a change in urban mobility patterns would...
Sensors available in a mobile device, e.g., a smartphone, a smartwatch, or others, allow the capture of several signals, that may be used to the estimation of the energy expenditure. This paper describes the adaption of a previous research, using different signals and validated with a golden standard, consisting in the comparison between the units of the data acquired by a tri-axial accelerometer...
Crowdsensing, as a novel method of data collecting, environment sensing and information providing, has been widely used in place of the traditional wired sensor networks and wireless sensor network to tackle real-world challenges by leveraging mobile devices. Unfortunately, the practicality of crowdsensing can be tampered with antisocial behavior, such as free-riding, false-reporting and whitewashing...
We introduce a mobile sensing technique to detect a nearby active television, the channel it is tuned to, and whether it is receiving this channel over the air or not. This technique can find applications in tracking TV viewership, second screen services and advertising, as well as improving the efficiency of TV white space spectrum usage. The technique uses a three-stage detection process: It first...
This study aimed to investigate the relationship between learning behaviors (hypothesis-making, interpreting graphs, applying formula, conclusion-making and conceptual understanding) and learning achievement on vocational students who use our developed Ubiquitous-Physics (U-Physics) to learn simple pendulum in the experiment. Thus, this study conducted an experiment with participating second grade...
Anticipatory mobile computing is an emerging research field in pervasive environments. However, building multiple anticipatory applications to proactively support a user on his behalf still involves a disproportionate effort through their interdisciplinary nature and individual complex development from scratch. In this paper, we present architectural concepts and a reference implementation of a distributed...
This paper reports a mobile application pre-launch scheme thatis based on user’s emotion. Smartphone application’s usage andsmartwatch’s internal sensors are exploited to predict user’s intension.User’s emotion can be extracted from the PPG sensor inthe smartwatch. In this paper, we extend previous App pre-launchservice with user’s emotion data. Applying machine learning algorithmto the training data,...
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