Browsing by Author "Barshan, Billur"
Now showing items 1-20 of 52
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Activity recognition invariant towearable sensor unit orientation using differential rotational transformations represented by quaternions
(MDPI AG, 2018)Wearable motion sensors are assumed to be correctly positioned and oriented in most of the existing studies. However, generic wireless sensor units, patient health and state monitoring sensors, and smart phones and watches ... -
Classification of leg motions by processing gyroscope signals
(IEEE, 2009)In this study, eight different leg motions are classified using two single-axis gyroscopes mounted on the right leg of a subject with the help of several pattern recognition techniques. The methods of least squares, Bayesian ... -
Classifying daily and sports activities invariantly to the positioning of wearable motion sensor units
(IEEE, 2020)We propose techniques that achieve invariance to the positioning of wearable motion sensor units on the body for the recognition of daily and sports activities. Using two sequence sets based on the sensory data allows each ... -
Comparative analysis of different approaches to target classification and localization with sonar
(IEEE, 2001-08)The comparison of different classification and fusion techniques was done for target classification and localization with sonar. Target localization performance of artificial neural networks (ANN) was found to be better ... -
A comparative study of map building techniques by processing sonar arc-maps
(2005)In this study, four signal processing schemes regarding sonar sensor based map-building applications were compared. The newly proposed method, Directional Maximum is found to be successful in terms of reducing the innate ... -
A comparative study on the processing of ultrasonic arc maps
(IEEE, 2008-08)The directional maximum (DM) technique for processing ultrasonic arc maps is proposed and compared to previously existing techniques. The method processes ultrasonic arc maps directionally to extract the map of the environment ... -
A comparison of two methods for fusing information from a linear array of sonar sensors for obstacle localization
(IEEE, 1995)The performance of a commonly employed linear array of sonar sensors is assessed for point-obstacle localization intended for robotics applications. Two different methods of combining time-of-flight information from the ... -
A compression method based on compressive sampling for 3-D laser range scans of indoor environments
(Springer, Dordrecht, 2010)When 3-D models of environments need to be transmitted or stored, they should be compressed efficiently to increase the capacity of the communication channel or the storage medium. We propose a novel compression technique ... -
Detection and evaluation of physical therapy exercises by dynamic time warping using wearable motion sensor units
(Springer, 2014)We develop an autonomous system that detects and evaluates physical therapy exercises using wearable motion sensors. We propose an algorithm that detects all the occurrences of one or more template signals (representing ... -
Differentiation and localization of target primitives using infrared sensors
(IEEE, 2002-09-10)This study investigates the use of low-cost infrared sensors in the differentiation and localization of commonly encountered target primitives in indoor environments, such as planes, corners, edges, and cylinders. The ... -
Directional processing of ultrasonic arc maps and its comparison with existing techniques
(IEEE, 2007)Directional maximum (DM) technique for processing ultrasonic arc maps (UAMs) is proposed and compared to existing techniques. It employs directional processing in extracting the map of the environment from UAMs. DM aims ... -
Directional processing of ultrasonic arc maps and its comparison with existing techniques
(Sage Publications Ltd., 2007)A new technique for processing ultrasonic arc maps is proposed and compared to six existing techniques for map-building purposes. These techniques are simple point marking along the line-of-sight, voting and thresholding, ... -
Employing active contours and artificial neural networks in representing ultrasonic range data
(IEEE, 2008-08)Active snake contours and Kohonen's self-organizing feature maps (SOM) are considered for efficient representation and evaluation of the maps of an environment obtained with different ultrasonic arc map (UAM) processing ... -
Evidential logical sensing using multiple sonars for the identification of target primitives in a mobile robot's environment
(IEEE, 1996)Physical models are used to model reflections from target primitives commonly encountered in mobile robot applications. These targets are differentiated by employing a multi-transducer pulse/echo system which relies on ... -
Extraction of target features using infrared intensity signals
(IEEE, 2005-09)We propose the use of angular intensity signals obtained with low-cost infrared (IR) sensors and present an algorithm to simultaneously extract the geometry and surface properties of commonly encountered features or targets ... -
Filtering in fractional Fourier domains and their relation to chirp transforms
(IEEE, 1994-04)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 ... -
Fizik tedavi egzersizlerinin giyilebilir hareket algılayıcıları işaretlerinden dinamik zaman bükmesiyle sezimi ve değerlendirilmesi
(IEEE, 2014-04)Giyilebilir hareket algılayıcılarından kaydedilen sinyalleri işleyerek fizik tedavi egzersizlerini algılamak ve değerlendirmek için özerk bir sistem geliştirilmiştir. Bir fizik tedavi seansındaki bir ya da birden fazla ... -
Fractional fourier transform pre-processing for neural networks and its application to object recognition
(Elsevier, 2002-01)This study investigates fractional Fourier transform pre-processing of input signals to neural networks. The fractional Fourier transform is a generalization of the ordinary Fourier transform with an order parameter a. ... -
Global vs local classification models for multi-sensor data fusion
(ACM, 2018)The aim of this paper is to investigate feature extraction and fusion of information across a number of sensors in different spatial locations to classify temporal events. Although the common feature-level fusion allows ... -
Gyroscopes
(John Wiley & Sons, 1999)
