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In this paper, we present a publicly available dataset for the evaluation of indoor positioning algorithms that use magnetic anomalies. Our dataset contains IMU and magnetometer measurements along with ground truth position measurements that have centimeter-level accuracy. To produce this dataset, we collected over 13 hours of data (51 kilometers of total distance traveled) from three different buildings,...
Classification of motion mode (walking, running, standing still) and device mode (hand-held, in pocket, in backpack) is an enabler in personal navigation systems for the purpose of saving energy and design parameter settings and also for its own sake. Our main contribution is to publish one of the most extensive datasets for this problem, including inertial data from eight users, each one performing...
With the tremendous popularity of smartphones and other portable devices, crowdsensing applications have become a center of attention in recent years. Different mechanisms have been designed to incentivize mobile users to participate in crowdsensing. However, there are still many open issues needed to be investigated for these incentive mechanisms. In this paper, we systematically study the collusion...
We present Hand in Air Tapping (HAT), a wearable input interface which allows interactions through fingers tapping. It consists in a Bluetooth Low Energy rings enabling wireless communication with any compatible device. Each ring is hardware-wise independent of the others. This allows full modularity, i.e., the number of employed devices can be chosen to meet each application requirements. The proposed...
Smart mobile devices are fundamental date sources for crowd activity tracing. Large-scale mobile networks and the Internet-of-Things (IoT) expand and become part of perva-sive and ubiquitous computing offering distributed and trans-parent services. With the IoT, Crowd Sensing is extended by Things Sensing, creating heterogeneous smart environments. A unified and common data processing and communication...
Smartphone, as a personal device, has been widely used in people's daily life. As a result, it unavoidably contains user's private and sensitive information, such as financial accounts and social contacts. Unfortunately, recent studies have shown that fingerprint of sensors in smartphones can be used for tracking them, which leads to a significant threat to user's privacy. More importantly, speakers...
Accurate recognition of human actions is essential to many health-care, entertainment, and human-computer interface applications. However, the achievable accuracy depends on a variety of parameters for the various stages of recognition, including sensing, feature extraction, and classification. In this paper, we quantitatively evaluate the classification accuracy for varying sensing rates, sensor...
In recent years, embedded systems technology has found innovative applications in many fields, including sports. As commercial off-the-shelf hardware like sensors, actuators, controllers and networks have become cheaper, smaller and more capable, they can be embedded in stationary and portable systems, improving performance, training, comfort, safety, and economy. The performance data can be analyzed...
With the popularization of human-carried devices, it is possible for Mobile Crowd Sensing (MCS) applications to perform large scale sensing with sensors embedded in these devices. Many incentive mechanisms for MCS applications have been proposed due to the importance of attracting more worker to participate. However, these mechanisms failed to consider situations where there are constraints on both...
Today smart devices such as smartphones, smartwatches and activity trackers are widely available and accepted in most developed societies. These devices present a broad set of sensors capable of extracting detailed information about different situations of daily life, which, if used for good, have the potential to improve the quality of life not only for individuals but also for the society in general...
Mobile Crowd Sensing and Computing (MCSC) is a replacement of static sensing infrastructure by user's mobile sensor-enhanced devices. MCSC collects user's local knowledge such as local information, ambient, and traffic conditions using sensor-enabled devices. The collected information is further aggregated and transferred to the cloud for detailed analysis. In this paper, we propose a Smartphone-based...
Internet of Things (IoT) describes a world where everyday objects are always connected to the Internet, allowing them to communicate and interact with each other. By connecting these everyday objects to the Internet and making them available everywhere at any time, IoT allows to remotely monitor, manage, and gather status information about them and their surrounding environment. IoT is a revolutionary...
In the Internet of Things (IoT) a worldwide network of sensors and actuators transmit data and actuate over the Internet. Nevertheless, the deployment of sensors and actuators usually requires tools to program and configure them before they can work, and not everyone has such access. Current smartphones are provided with a large set of sensors and actuators that can be incorporated in the IoT. With...
Smartphone-based assessments have been considered a potential solution to passively monitor gait and mobility in early-stage Parkinson's disease (PD) patients. In the Multiple Ascending Dose clinical trial of PRX002/RG7935, 44 PD patients and 35 age-and gender-matched healthy individuals performed smartphone-based assessments for up to 24 weeks and up to 6 weeks respectively. For "passive monitoring",...
Driving with distraction or losing alertness increases the risk of the traffic accident. The emerging Internet of Things (IoT) systems for smart driving hold the promise of significantly reducing road accidents. In particular, detecting the unsafe hand motions and warning the driver using smart sensors can improve the driver's self-alertness and the driving skill. However, due to the impact of the...
In this paper, we design an audience-aware signage sensing and interacting system, called Cyber-Physical Ad (CPAd), for individuals using smartphones based on Internet of Things technologies. In the CPAd system, a digital signage can sense surrounding audiences via built-in sensors and the signage content can be adaptive to interact with nearby audiences through real-time multimedia contents. In addition,...
Recognizing the occupants movement and locations within a home is a basic functionality, underlying a variety of smart-home services, including energy management, ambient environment control, and assistive-living services for seniors and people with disabilities. The outdoor-localization variant of the problem is effectively addressed with the use of GPS; however, GPS does not work well inside buildings,...
This paper investigates a new application of vehicular sensing: detecting and reporting the slippery road conditions. We describe a system and associated algorithm to monitor vehicle skidding events using smartphones and OBD-II (On board Diagnostics) adapters. This system, which we call the VehSense, gathers data from smartphone inertial sensors and vehicle wheel speed sensors, and processes the data...
Portable devices are nowadays largely used among people. These devices have a lot of potential in aiding visually impaired people on a daily basis. This paper presents an android application for smartphone, especially made to assist these persons. The application uses MEMS sensors from a smartphone and also the information received from a few external sensorial modules. The hardware modules form together...
Increasing sensing and communication capabilities combined with falling prices have made drones very attractive for Internet of Things applications. A key requirement of these applications is that the drones should be autonomously maneuvered by computer programs. It is therefore important to understand the practical limitations of autonomous drone maneuverability to ensure that target application...
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