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Context aware systems like smart homes and offices will benefit from determining human-object and human-human interactions. In this paper, we explore interaction detection methods using only wearable Inertial Measurement Units (IMUs). The interactions we explore involve two actors — the primary person and a secondary object or person. We explore how several commonly used time domain signal processing...
In this work we present A-Wristocracy, a novel framework for recognizing very fine-grained and complex inhome activities of human users (particularly elderly people) with wrist-worn device sensing. Our designed A-Wristocracy system improves upon the state-of-the-art works on in-home activity recognition using wearables. These works are mostly able to detect coarse-grained ADLs (Activities of Daily...
We present a wearable system that uses ambient electromagnetic interference (EMI) as a signature to identify electronic devices and support proxemic interaction. We designed a low cost tool, called EMI Spy, and a software environment for rapid deployment and evaluation of ambient EMI-based interactive infrastructure. EMI Spy captures electromagnetic interference and delivers the signal to a user;s...
Two dimensional target localization using AOA measurements is considered in this paper. By conducting repeated experiments, the complex AOA (CAOA) method found that for the two-sensor and single-target scenario, the accuracy of the intersection of two bearing lines can be divided into different layers. However, the experiments are very time consuming. Also, the division of the intersection region...
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
In the field of precision agriculture (PA), Un-manned Aerial Vehicles (UAVs) are creating new opportunities for remotely assessing various characteristics of crops. In this paper, we present two main contributions that were evaluated on a novel application: mapping red clover ground cover (RCGC). First, we develop an integrated system for collecting, pre-processing and analyzing aerial data for the...
As unmanned aerial systems (UASs) become ever more ubiquitous with National Airspace (NAS) commercial and civilian operations, test sites and proving grounds need to be developed and heavily researched. Small UASs are being used as remote sensing systems, on demand, at the personal level, thus “personal remote sensing” scientific data drones urgently need Ground Truthing Test Sites beyond compliance...
Microsoft Kinect had a key role in the development of consumer depth sensors being the device that brought depth acquisition to the mass market. Despite the success of this sensor, with the introduction of the second generation, Microsoft has completely changed the technology behind the sensor from structured light to Time-Of-Flight. This paper presents a comparison of the data provided by the first...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To calibrate a DTA model the observations from the field are required. There has been increasing number of sensors and technologies which can provide these data. In this paper we briefly describe these sensors and elaborate on the various traffic data types that are used in dynamic demand calibration. The...
Estimation of distance to real objects can be done with the help of various sensors. In some cases stereovision system is technically simpler and cheaper. Algorithms of dense stereovision allow to build highly detailed virtual terrain model, which gives opportunity to control the device in complicated relief or in dangerous surroundings. But some algorithms of dense stereovision have problems to determine...
This paper investigates the influence of the measurement accuracy of the wind sensors on a wind energy conversion system (WECS) performance. Specifically, the wind speed and direction sensors installed at the end of the nacelle of a three blades horizontal axis wind turbine are considered. Due to the turbulence in the wake behind the wind turbine blades, wind direction measurement is highly affected;...
Depth sensors based on Time-of-Flight (ToF) and Phase Shifting (PS) have complementary strengths and weaknesses. ToF can provide real-time depth but limited in resolution and sensitive to noise. PS can generate accurate and robust depth with high resolution but requires a number of patterns that leads to high latency. In this paper, we propose a novel fusion framework to take advantages of both ToF...
The paper describes the development of a Hardware-in-the-Loop (HIL) test platform for the performance assessment of a PMU-based sub-second linear Real-Time State Estimator (RTSE) for Active Distribution Networks (ADNs). The estimator relies on the availability of data coming from Phasor Measurement Units (PMUs) and can be applied to both balanced and unbalanced ADNs. The paper first illustrates the...
Geostatistical approaches are commonly used in many disciplines, but they can be also useful also in identifying the operating conditions of a photovoltaic field, especially when solar irradiance hits differently its modules or when partial shading occurs. Despite some applications has been presented in literature, different aspects related to the accuracy of the operating condition identification...
Context aware services provide functionalities which are personalized for their users' current situations. A main concern of context-aware services is a substantial consumption of resources while preserving a minimal level of accuracy. There is a tradeoff between efficiency and accuracy on context acquisition. Hence, we propose a cloud-based Context Acquisition Platform to provide a high-level of...
The increasing popularity of wireless services led to increased deployment of wireless systems worldwide that operate in adjacent frequency bands. The national regulatory bodies need to address the potential issues of wireless systems mutual interference (either accidental or deliberate) and guarantee their stakeholders efficiently policed national spectrum usage. One of the cornerstones in this aspect...
A Sign Language Recognition (SLR) system enables communication between hearing disabled individuals and those who can hear and speak. With the prevalence of the wearable computers, this technology is becoming an important human computer interface capable of reading hand gestures and inferring user;s intent. In this paper, we propose a real-time American SLR system leveraging fusion of surface electromyography...
Crowd sensing is an effective zero-cost method to map physical spatial fields by exploiting sensors already embedded in smartphones. The potentially huge amount of generated data and random measurement positions represent serious challenges to be addressed. In this paper we propose a combined Gaussian process (GP)-State space method for crowd mapping whose complexity and memory requirements for field...
This paper presents a confidence-aware maximum likelihood estimation framework to solve the truth estimation problem in social sensing applications. Social sensing has emerged as a new paradigm of data collection, where a group of individuals volunteer (or are recruited) to share certain observations or measurements about the physical world. A key challenge in social sensing applications lies in ascertaining...
This paper presents a spatial-temporal aware analytical framework to solve the truth finding problem in social sensing applications. Social sensing has emerged as a new big data application paradigm of collecting observations about the physical environment from social sensors (e.g., humans) or devices on their behalf. The collected observations may be true or false, and hence are viewed as binary...
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