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A lot of research in the radio domain has focussed on integrating autonomy and smartness capabilities inside future radio equipments like mobile phones. Such a smart radio is called a cognitive radio. This requires complementary management facilities to be added to the radio signal processing facilities present in traditional radios. Hierarchical and Distributed Cognitive Radio Architecture Management...
In this paper, we show current status of gathering large scale human activity information using mobile sensor devices. If human activity can be objectively measured, we can expect various applications, such as health care and agriculture. We developed an activity information gathering system using mobile sensor devices with three axis accelerometers, and gathered about 10,000 activity data of 170...
In this paper we present a classification of human movement in physical space into spatio-temporal activities (STAs) and classes thereof. Drawing from our experiences with real human data from GPS traces we define a clustering approach for STA extraction based on the amount of motion of the user in space and time. Our solution captures these properties in a lightweight online algorithm that can run...
We introduce a novel self-contained seamless positioning solution for indoor and outdoor environments, well suited for and designed to be operated on off-the-shelf mobile phones. Position information is deduced from a combination of GNSS where available, combined with Pedestrian Dead Reckoning (PDR) utilizing inertial measurements and context-aware activity based map matching. The proposed system...
A comparison between different step length estimation algorithms for pedestrian dead reckoning is presented. This work covers theoretic evaluation of the estimators' performance and presents a comparison based on measurement data. Measurement data were taken from a group of five adults walking at three different velocities. For reference, the sensors were placed according to the recommendation given...
This paper proposes a novel method for detecting traffic congestions, qualifying and quantifying congestion levels using mobile phones as traffic probes. The system provides a robust mechanism for granularly comparing the seriousness of different congested areas. Congested areas are detected in a detailed manner by which exact congested positions are reported. Moreover, congestions can be detected...
Mobile phone sensors have the ability to provide significant information about environmental conditions as well as about different activities of persons. This paper deals with the acceleration sensor of a commercial mobile phone that makes it possible to identify and classify the user's means of transportation. The needed pre-processing of the sensor data is described as well as the used classification...
Wireless sensor networks have been widely deployed to perform sensing constantly at specific locations, but their energy consumption and deployment cost are of great concern. With the popularity and advanced technologies of mobile phones, participatory urban sensing is a rising and promising field which utilizes mobile phones as mobile sensors to collect data, though it is hard to guarantee the sensing...
In this paper we introduce a novel scenario for environmental sensing based on the combination of simple and cheap RFID-based sensors and mobile devices like mobile phones with integrated RFID readers. We envision a system that exploits the availability of these devices to cooperatively read sensors installed in the environment, and transmit the data to a server infrastructure. To achieve quality...
As mobile phones increasingly become the target of propagating malware, their use of direct pair-wise communication mechanisms, such as Bluetooth and WiFi, pose considerable challenges to malware detection and mitigation. Unlike malware that propagates using the network, where the provider can employ centralized defenses, proximity malware can propagate in an entirely distributed fashion. In this...
Localization has been an important issue along with the development of context-aware systems applicable to dynamic mobile environment. ZigBee is very cheap and less power consuming wireless techniques comparing to other types such as RFID, infrared and ultrasound. Thus this paper compares conventional techniques for predicting mobile objectpsilas location by combining estimates drawn from received...
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