Browsing by Author "Barshan, B."
Now showing items 1-20 of 53
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Accurate profile extraction and mapping by intelligent processing of ultrasonic range data
Barshan, B. (The Institution of Engineering and Technology, 2007)A novel technique is described that employs intelligent processing of multiple ultrasonic range measurements for accurate surface profile extraction and mapping. It aims to overcome the intrinsic angular uncertainty of ... -
Activity recognition invariant to sensor orientation with wearable motion sensors
Yurtman, A.; Barshan, B. (MDPI AG, 2017)Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ... -
Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals
Yurtman, A.; Barshan, B. (Elsevier Ireland Ltd., 2014)We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensors. We propose the multi-template multi-match dynamic time warping (MTMM-DTW) algorithm as a natural extension ... -
Automatic radar antenna scan type recognition in electronic warfare
Barshan, B.; Eravci, B. (Institute of Electrical and Electronics Engineers, 2011-10-04)We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), ... -
Classifying human leg motions with uniaxial piezoelectric gyroscopes
Tunçel O.; Altun, K.; Barshan, B. (2009)This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted ... -
Comparative analysis of different approaches to target differentiation and localization with sonar
Barshan, B.; Ayrulu, B. (Elsevier, 2003)This study compares the performances of different methods for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of interest for intelligent ... -
Comparative study on classifying human activities with miniature inertial and magnetic sensors
Altun, K.; Barshan, B.; Tunçel, O. (Elsevier, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
Comparison of two methods of surface profile extraction from multiple ultrasonic range measurements
Barshan, B.; Backent, D. (Institute of Physics Publishing, 2000)Two novel methods for surface profile extraction based on multiple ultrasonic range measurements are described and compared. One of the methods employs morphological processing techniques, whereas the other employs a spatial ... -
Complex signal recovery from multiple fractional Fourier-transform intensities
Ertosun, M. G.; Atli, H.; Özaktaş, Haldun M.; Barshan, B. (Optical Society of America, 2005-08-10)The problem of recovering a complex signal from the magnitudes of any number of its fractional Fourier transforms at any set of fractional orders is addressed. This problem corresponds to the problem of phase retrieval ... -
Complex signal recovery from two fractional Fourier transform intensities: order and noise dependence
Ertosun, M. G.; Atlı, H.; Özaktaş, Haldun M.; Barshan, B. (Elsevier, 2005-01)The problem of recovering a complex signal from the magnitudes of two of its fractional Fourier transforms is addressed. This corresponds to phase retrieval from the transverse intensity profiles of an optical field at two ... -
Convolution and filtering in fractional fourier domains
Özaktaş, Haldun M.; Barshan, B.; Mendlovic, D. (Springer-Verlag, 1994)Fractional Fourier transforms, which are related to chirp and wavelet transforms, lead to the notion of fractional Fourier domains. The concept of filtering of signals in fractional domains is developed, revealing that ... -
Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms
Özaktaş, Haldun M.; Barshan, B.; Mendlovic, D.; Onural, L. (1994)A concise introduction to the concept of fractional Fourier transforms is followed by a discussion of their relation to chirp and wavelet transforms. The notion of fractional Fourier domains is developed in conjunction ... -
Detecting Falls with Wearable Sensors Using Machine Learning Techniques
Ozdemir, A. T.; Barshan, B. (MDPI, 2014-06-18)Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units fitted to the subjects' body at six ... -
Differentiation and localization of targets using infrared sensors
Aytaç, T.; Barshan, B. (Elsevier, 2002)This study investigates the use of low-cost infrared emitters and detectors in the differentiation and localization of commonly encountered features or targets in indoor environments, such as planes, corners, edges, and ... -
Estimation of object location and radius of curvature using ultrasonic sonar
Sekmen, A. Ş.; Barshan, B. (Elsevier, 2001-07)Acoustic sensors are very popular in time-of-flight (TOF) ranging systems since they are inexpensive and convenient to use. One of the major limitations of these sensors is their low angular resolution which makes object ... -
Evaluation of solid-state gyroscope for robotics applications
Barshan, B.; Durrant-Whyte, H. F. (Institute of Electrical and Electronics Engineers, 1995-02)he evaluation of a low-cost solid-state gyroscope for robotics applications is described. An error model for the sensor is generated and included in a Kalman filter for estimating the orientation of a moving robot vehicle. ... -
Fast processing techniques for accurate ultrasonic range measurements
Barshan, B. (Institute of Physics Publishing, 2000)Four methods of range measurement for airborne ultrasonic systems - namely simple thresholding, curve-fitting, sliding-window, and correlation detection - are compared on the basis of bias error, standard deviation, total ... -
Fuzzy clustering and enumeration of target type based on sonar returns
Barshan, B.; Ayrulu, B. (Elsevier, 2004)The fuzzy c-means (FCM) clustering algorithm is used in conjunction with a cluster validity criterion, to determine the number of different types of targets in a given environment, based on their sonar signatures. The class ... -
Human activity recognition using tag-based radio frequency localization
Yurtman, A.; Barshan, B. (Taylor and Francis Inc., 2016)This article provides a comparative study on the different techniques of classifying human activities using tag-based radio-frequency (RF) localization. A publicly available dataset is used where the position data of ... -
Identification of target primitives with multiple decision-making sonars using evidential reasoning
Ayrulu, B.; Barshan, B. (Sage Publications Ltd., 1998-06)In this study, physical models are used to model reflections from target primitives commonly encountered in a mobile robot's environment. These targets are differentiated by employing a multitransducer pulse/echo system ...