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We depict the functions and extension of a novel information theory based sensors management (ISBM) system to information based sensor and mission management (IBSMM) such that intelligence collection is effective in an expected value sense while remaining independent of any particular platform, sensor or point solution. We describe the proposed implementation via implicit collaboration through common...
In Ubiquitous Computing (Ubicomp) research, substantial work has been directed towards sensor-based detection and recognition of human activity. This research has, however, mainly been focused on activities of daily living of a single person. This paper presents a sensor platform and a machine learning approach to sense and detect phases of a surgical operation. Automatic detection of the progress...
An ultra low-power intelligent sensing platform has been developed by the authors. The platform is based on a novel single chip solution, designed and fabricated using a 0.18 μm CMOS technology. To that end, quad-channel low-power sensor front end sections composed of event-driven amplifiers and ADCs have been integrated with a custom low-power microcontroller and a wireless interface on...
In-situ measurement of physical activity of human under free-living environment is important for assessing their exposure to the environment. Innovative sensing technology is needed to realize such measurement. This paper presents a wearable, multi-sensor integrated measurement system (IMS) for assessing physical activity. Detailed analysis and simulation were performed for the parametric design of...
In today's world of urban traffic environment, there is an immediate requirement to impose safety measures to avoid fatal accidents. To ensure safe driving, vehicles can be made intelligent by equipping them with sensors. This means that multiple sensors can be incorporated on the vehicle. Such system can act as a warning strategy that guides the driver of the vehicle to make right decisions at times...
This paper presents the architecture, sensing and results of a context-aware smart home monitoring system based on pressure measurement sequences. It focuses on the analysis of transfers performed by the occupant in the bedroom and bathroom to assess if their behavior is within a normal range of motion. Pressure sensors are placed under the bed mattress and embedded in the grab bars of a toilet commode...
Free of most social constraints, elderly people tend to perform activities of daily living following the same sequence. This paper proposes a method for medical telesurveillance to detect and quantify a nycthemeral shift in this daily routine. While this common phenomenon is mostly mild, in acute cases, however, it may reveal a pathological behavior requiring a rapid medical examination. This method...
The increasing use of smart sensors that can dynamically adapt their observations has created a need for algorithms to control the information acquisition process. While such problems can usually be formulated as stochastic control problems, the resulting optimization problems are complex and difficult to solve in real-time applications. In this paper, we consider sensor management problems for sensors...
In many industrial automation processes, quality monitoring is based on visual inspection. An example is flat-steel manufacturing, where surface defects need to be monitored. Currently this is performed by extensive image logging and off-line human interpretation. More intensive automation requires gathering quantitative information, but this will easily require a very expensive camera, if feasible...
The technological advances of the information age have created both an opportunity and a challenge for military decision makers. At first glance, the variety of data gathered by a multitude of traditional and non-traditional Intelligence, Surveillance, and Reconnaissance (ISR) sensors should allow decision makers to better understand their environment and the threat. However, a number of factors tend...
Energy-efficient determination of an individual's context (both physiological and activity) is an important technical challenge for assisted living environments. Given the expected availability of multiple sensors, context determination may be viewed as an estimation problem over multiple sensor data streams. This paper develops a formal and practically applicable model to capture the tradeoff between...
As demand for surveillance of physical locations increases, automated decision making software can help maintain the rising costs of human monitoring. The variety in different types of sensors is also growing, and making use of their consolidated data can improve the decision making process. Using the constructive research method, we aim to define a design of a surveillance system's decision making...
With the widespread application of large and complicated network, network safety has become an important issue. In this paper, a security operation center (SOC) concept based on multi-sensor data fusion technology is presented from the viewpoint of the network security. A structure of a SOC system based on radial basis function neural (RBFN) network is proposed, and the detailed method of data fusion...
In Web-based CSCW (Computer-Supported Cooperative Work) often including cooperative learning, remote members communicate their intentions in cyberspace, using textual sentences, pictures and voice. However, often, communication between members cannot be correctly done and interface errors occur. Different from face-to-face communication, partners' situations including their interest, concentration,...
The work reported in this paper investigates the problem of intelligent patient monitoring, whereby a combination of smart sensor technology and computational intelligence techniques is used to observe then understand the behavior of a person in a self-care context, such as a patient in his hospital room or an elderly in her home. The key objective is to automatically derive a model that encompasses...
Based on the success of intelligent video surveillance systems, especially in the field of security, scalability and performance, the corresponding architecture and concept is extended to involve different types of sensors in addition to visual sensors. In this work an analytical study of the whole spectrum of sensor technologies and their characteristics and performance recommendation is presented...
We introduce a distributed camera coalition formation scheme for perceptive scene coverage and persistent surveillance by smart camera sensor networks. The proposed model supports task-dependent camera selection and grouping via a "contract net" task allocation protocol augmented with conflict resolution and error recovery mechanisms. Our technique avoids any central controller, and it is...
The key issues in ubiquitous sensor networks for context awareness is location-tracking. The main goal of location-tracking is to find the position of a moving object. In this paper, we describes the design and implementation of ICLS (Intelligent Cricket-based Location System). Especially, a more accurate location-tracking system using a sensor fusing mechanism is proposed herein. The benefits of...
This paper discusses meta-event recognition methods using multiple smart sensors. We previously proposed a smart sensor, which is implemented on small and low-cost microcontroller device, and can instantly learn and detect sound events. We consider an aggregation method for multiple event information to improve recognition rate and estimate position of sound source, reasoning relations among detected...
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