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There are many methods for indoor positioning. These methods are divided into the relative localization and absolute localization. In the relative localization, one widely used method is Pedestrian Dead Reckoning (PDR). Relative localization estimates the moving distance, orientation, and height of the pedestrian. However, relative localization has a problem caused by an accumulated error: the longer...
Indoor localization is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologies, particularly smartwatches with built-in sensors, and personal devices, such as smartphones, are being seen as the breakthrough for making concrete the envisioned Smart Environment (SE) paradigm. In particular, scenarios devoted to indoor localization...
We investigate properties and the accuracy of grid-based Bayesian filters for indoor localization. We use only the compass and a (hardware or software) step detector which are available in commodity smartphones. In the case when a hardware step detector is not present, we propose a reliable step detection algorithm using the accelerometer. Our main goal is to evaluate how the accuracy of a grid-based...
PDR (Pedestrian Dead Reckoning) is a very promising technology for indoor positioning. We held a technical challenge, entitled the UbiComp/ISWC 2015 PDR Challenge, consisting of the following three categories: a PDR algorithm category; a PDR Evaluation method category; and an exhibition. In this paper, we especially focus on several systems for the PDR algorithm category. A PDR skeleton was prepared...
With the rapid growth of smartphones, crowdsensing emerges as a new paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data efficiently. Auction has been widely used to design mechanisms to stimulate smartphone users to participate in the crowdsensing applications and systems. Many auction-based incentive mechanisms have been proposed for crowdsensing. However,...
In this paper we have developed a Telemedicine model with portable tool kit for remote patients to collect vital signs of patients which are used for Telemedicine services. This developed system is low cost, portable, and easily maintainable and can be integrated with any complex health system. We have used the GNU health where local doctors can communicate with a low cost terminal. Expert doctors...
Location is an important context in everyday activity. Outdoor positioning, through the use of the Global Positioning System (GPS), has been a mature technology. Indoor localisation, on the other hand, is still an active research area. While many popular techniques utilise new specialised, dedicated devices to enable precise indoor positioning, our investigation aims to solve the indoor localisation...
This paper shows the potential of using a physical model of gambling die as an input device for multimedia applications. We present a real-rime method for simulating fair 6-sided die on the base of loaded model of foam-rubber die equipped with inertial measurement unit. The method allows avoiding the negative influence that biased die produces on the final game result. The technique is based on filtering...
Citizens are exposed to air pollutants both indoors and outdoors due to their activities, which may result in a variety of health effects. In this paper, we present AirSense, an opportunistic crowd-sensing based air quality monitoring system, aimed at collecting and aggregating sensor data to monitor air pollution in the vicinity and the city. We introduce a light weight, low power and low cost air...
Currently, conventional indoor localization schemes mainly leverage WiFi-based or Bluetooth-based schemes to locate the users in the indoor environment. These schemes require to deploy the infrastructures such as the WiFi APs and Bluetooth beacons in advance to assist indoor localization. This property hinders the indoor localization schemes in that they are not scalable to any other situations without...
Actitracker is a smartphone-based activity-monitoring service to help people ensure they receive sufficient activity to maintain proper health. This free service allowed people to set personal activity goals and monitor their progress toward these goals. Actitracker uses machine learning methods to recognize a user's activities. It initially employs a "universal" model generated from labeled...
In the past few years, smart mobile devices have become ubiquitous. Most of these devices have embedded sensors such as GPS, accelerometer, gyroscope, etc. There is a growing trend to use these sensors for user identification and activity recognition. Most prior work, however, contains results on a small number of classifiers, data, or activities. We present a comprehensive evaluation often representative...
In this paper, automated user verification techniques for smartphones are investigated. A unique non-commercial dataset, the University of Maryland Active Authentication Dataset 02 (UMDAA-02) for multi-modal user authentication research is introduced. This paper focuses on three sensors — front camera, touch sensor and location service while providing a general description for other modalities. Benchmark...
Smartphones with various embedded sensors and wirelessly connected external sensors will enable new applications across a wide variety of domains. Continuous or long-term sensing, processing, and communication of sensor data using smartphones will consume a significant amount of energy of the resource-constrained smartphones. Compression techniques, including predictive coding (PC) and compressed...
Environmental scientists, city planners, park administrators, and similar others, need to base their decisions on up-to-date, accurate and high resolution measurement data. However, acquiring such data by hand or by deploying sensor networks is expensive and time consuming. People without proper scientific training want to take part in the scientific process and assist with the needs of their respective...
Visually Impaired (VI) and blind people suffer from reduced mobility, as they cannot detect the terrain and their environment. They always need assistance and walking support systems in their daily life. Solutions have been proposed many decades ago and are rapidly improving nowadays due to the technology evolution and integration. A large number of assistance aids have been deployed in real life...
Modern smartphones integrate multiple functionalities into a single device: they can establish peer-to-peer wireless links, they can sense the environment through several embedded sensors, they are provided with a multi-core CPU. Hence, they can play a crucial role on emergency scenarios, where there is need of acquiring data from the environment, processing, and quickly conveying them to the people...
In today's era everyone is using smart phones with different applications installed in that. Mobile crowd sensing is one of them which is an emerging technology which helps to find different environmental details or any type of information easily. The devices which contain these applications are called as mobile wearable devices. The smart phones may find these details using the sensing property of...
Wearable electronics are revolutionizing personalized and preventative healthcare by allowing the easy, unobtrusive, and long term monitoring of a range of body parameters. Conformal electronics which attach directly to the skin in a very robust and long term manner are envisioned as the next generation of highly portable miniaturized computing devices, beyond wearables. In this paper we overview...
In this paper, we share our experience of developing a personal informatics framework for Android based smartphones that leverages mobile sensing for capturing and visualizing individual's performance and well-being with the aim of promoting awareness, self-reflection and self-optimization among-st users. We first describe an application that integrates different hardware and software sensors in smartphones...
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