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Cognitive radio (CR) techniques promise to significantly increase the available spectrum thus wireless bandwidth. With the increase of spectrum allowed for CR, it is critical and challenging to perform efficient wideband sensing. We propose an integrated sequential wideband sensing framework which concurrently exploits sequential detection and compressed sensing (CS) techniques for more accurate and...
This paper presents the design and implementation of a novel user-initiated indoor localization system called QiLoc. QiLoc is a simple yet effective way to accurately locate and identify occupants of Qi-compatible devices inside buildings. The system is composed of QiLoc Stations and a QiLoc Server. A QiLoc Station is usually embedded inside or under a desk/table. By using the Qi wireless charging...
The present article portrays a design and implementation of microcontroller based system for different physical parameter measurement using multi transducer with very high accuracy. For maintaining accuracy of the system a novel method is used which is multi channel direct sequence spread spectrum technique and it is also used as a filter for eliminating low frequency noise to maintain accuracy. It...
Dimensionality reduction techniques are convenient for data aggregation to reduce battery energy consumption in sensor nodes. Normally, principal component analysis (PCA), a dimensionality reduction technique, has been used for data aggregation in WSNs. However, PCA yields to data errors when the sensing data are not related. The PCA processing time is also an issue in an urgent situation that the...
Deception is pervasive, often leading to adverse consequences for individuals, organizations, and society. Information systems researchers are developing tools and evaluating sensors that can be used to augment human deception judgments. One sensor exhibiting particular promise is the eye tracker. Prior work evaluating eye trackers for deception detection has focused on the detection and interpretation...
There is a large interest on performing elderly care monitoring using Computer Vision. It has the potential to provide a better scene understanding than current sensing approaches at an affordable price, but there are still considerable practical challenges that have limited its deployment. The BAM descriptor is a privacy-conscious, calibration-free representation of a singleperson bed obtained from...
In this paper, we propose an architecture for autonomous indoor positioning system. In particular, we consider a system where motion sensors along with magnetometer and barometer are used to provide accurate positioning information even in environments without GNSS (Global Navigation Satellite System) coverage. We look more into implementation details of one particular block (step detection) on a...
Independent mobility is an important aspect of an individual's life and must sometimes be augmented by use of an assistive device such as a wheeled walker or cane following a fall, injury, or functional decline. Physical therapists perform functional gait assessments to gauge the probability of an individual experiencing a fall and often recommend use of a walker, cane, or walking stick to decrease...
Pulse diagnosis is very important method for predicting the health status or disorder in a patient in Indian Traditional Medicine. This paper presents the literature review on research & findings of researchers on different techniques & approaches of pulse diagnosis. Prakriti and Vikruti can be discovered through pulse diagnosis. Knowledge of prakriti and vikruti can help a person in maintaining...
Opto-electronic Plethysmography (OEP) is a motion analysis system used to measure chest wall kinematics and to indirectly evaluate respiratory volumes during breathing. Its working principle is based on the time-per-time computation of marker displacements placed on the thorax.
In this paper, we propose a car positioning approach that does not rely on GPS. We propose to use car wheel speeds and road maps in order to achieve robust positioning of the vehicle. The vehicle positioning is achieved by applying particle filtering on a graph-based representation of a road map. We show that the vehicle positioning is feasible and robust with these two inputs at a really low computational...
Human activity recognition (HAR) is a fundamental task in smart homes. In these environments residents' data are collected via unobtrusive sensors, and human activities are inferred using machine learning mechanisms out of sensors' data. Dynamic graphical models (DGMs) have been a widely used family of machine learning mechanisms for HAR. In DGM-based HAR methods relative temporal information and...
This paper presents our recent work on human activity detection based on smart phone embedded sensors and learning algorithms. The proposed human activity detection system recognizes human activities including walking, running, and sitting. While walking and running can be recorded as daily fitness activities, falling will also be detected as anomalous situations and alerting messages can be sent...
We address multiple object tracking in a system that has feedback from the fusion center to a wireless sensor network, where nodes transmit to the fusion center using random access. The feedback is used to adapt the sensing rate and, assuming that the sensors can move, to modify their positions. The variation in the position and the sensing rate of the sensors has the goal of providing higher accuracy...
The autonomous underwater vehicle (AUV) DAU-RADE platform can acquire bathymetry with two acoustic sensors: a multibeam echo sounder (MBES) and an interferometric sidescan sonar (ISSS). The two sensors (MBES and ISSS) are synchronized and they can simultaneously operate and acquire the bathymetry with different resolutions, geometries and error models. This complementarily allows us to improve the...
Human activity recognition (HAR) is the basis for many real world applications concerning health care, sports and gaming industry. Different methodological perspectives have been proposed to perform HAR. One appealing methodology is to take an advantage of data that are collected from inertial sensors which are embedded in the individual's smartphone. These data contain rich amount of information...
This paper describes the development and validation of the Inertial and Range-Enhanced Surgical (IRES) tracker—a novel, noncontact laparoscopic tracking system that may be used as an inexpensive alternative to optical and electromagnetic (EM) tracking systems for tracking surgical instruments. The system is based on the fusion of inertial, magnetic and distance sensing to generate real-time, 6-DOF...
Urethral Pressure Profilometry (UPP) is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured by a special catheter in order to assess the contraction strength of the sphincter muscle. However, the diagnostic value of pressure profilometry is limited. We seek to increase the diagnostic value by providing a detailed spatial reconstruction of the pressure...
Robots are often equipped with 2D laser-rangefinders (LRFs) and cameras since they complement well to each other. In order to correctly combine measurements from both sensors, it is required to know their relative pose, that is, to solve their extrinsic calibration. In this paper we present a new approach to such problem which relies on the observations of orthogonal trihedrons which are profusely...
Small satellite missions for scientific purpose gained more and more importance during the last years in Germany. There are several missions in-orbit or scheduled for launch in the near future like GFZ (1995), Eguator-S (in-orbit, launch Dec 1997), ABRIXAS (launch April 1999) and other missions are on the horizon. One of these highly ambitious projects is the small astrometry satellite DIVA (German...
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