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Citations since 2017
Publications
Publications (25)
Over the last decade, virtual worlds have proved to be a productive, motivating and innovative environment for learning and teaching. In this study, we aim to gain an insight into interpreting students' and professionals' attitudes towards a virtual learning platform developed within the scope of the ÇEV-VİR learning environment. With this aim in m...
Public transport is preferred by most of the people, since it provides various advantages. As a result, many route-planning applications are developed for users of public transport. The general aim of these applications is proposing the ideal route for a given destination; however, there are various route-planning criteria for the public transport....
Serious game is conceptualized as a digital medium to familiarize
users with less popular cultural topics, and significantly increase their
interest level and engagement. Our case study to present and discuss this conceptualization is based on the ancient city of Teos. This paper discusses and presents the Digital Teos Project, an interdisciplinary...
In this paper, we present a smartphone platform for colorimetric water quality detection based on the use of built-in camera for capturing a single-use reference image. A custom-developed app processes this image for training and creates a reference model to be used later in real experimental conditions to calculate the concentration of the unknown...
Background:
Spatial neglect (SN) is a neuropsychological syndrome that impairs automatic attention orienting to stimuli in the contralesional visual space of stroke patients. SN is commonly assessed using paper and pencil tests. Recently, computerized tests have been proposed to provide a dynamic assessment of SN. However, both paper- and computer...
A smartphone application based on machine learning classifier algorithms was developed for quantifying peroxide content on colorimetric test strips. The strip images were taken from five different Android based smartphones under seven different illumination conditions to train binary and multi-class classifiers and to extract the learning model. A...
In this study, the serious game is conceptualized as a digital medium to convert archaeological knowledge into playable interactions via a case study in the ancient city of Teos. The Teos of Dionysos Game is a digital platform that allows players without specialist computer skills to explore the archaeological knowledge and experience an ancient ur...
In a field where conventional 2D drawings, sketches, and maps have been the norm,
immersive VR technology can have a profound effect for architectural historians. Software, such
as SketchUp, with little budget requirement and gentle learning curve has been an invaluable
digital asset in creating 3D models, however, a combination of 2D and 3D with V...
Stroke is the leading cause of long-term disability among adults in industrialized nations; approximately 80% of people who survive a stroke experience motor disabilities. Recovery requires hundreds of daily repetitions of therapeutic exercises, often without therapist supervision. When performing therapy alone, people with limited motion often com...
In the United States alone, more than five million people are living with long term motor impairments caused by a stroke. Recently, video games with affordable motion-based input devices have been proposed as a part of therapy to help people recover lost range of motion and motor control. While researchers have demonstrated the potential utility of...
Current rehabilitation for persons with hemiparesis after stroke requires high numbers of repetitions to be in accordance with contemporary motor learning principles. The motivational characteristics of computer games can be harnessed to create engaging interventions for persons with hemiparesis after stroke that incorporate this high number of rep...
Stroke is the leading cause of long-term disability among adults in industrialized nations, with 80% of people who survive strokes experiencing motor disabilities. Recovery requires daily exercise with a high number of repetitions, often without therapist supervision. Motion-based video games can help motivate people with stroke to perform the nece...
Stroke is the leading cause of long term disability among adults in industrialized nations. The partial paralysis that stroke patients often experience can make independent living difficult or impossible. Research suggests that many of these patients could recover by performing hundreds of daily repetitions of motions with their affected limbs. Yet...
In this paper, we propose a new approach to wireless sensor network assisted navigation while avoiding moving dangers. Our approach relies on an embedded roadmap in the sensor network that always contains safe paths. The roadmap is adaptive, i.e., it adapts its topology to changing dangers. Mobile robots in the environment use the roadmap to reach...
Autonomous mobile entity navigation through dynamic and unknown environments is an essential part of many mission critical applications like search and rescue and flre flghting. The dynamism of theenvironmentnecessitatesthemobileentitytoconstantlymaintainahighdegreeofawarenessofthe changing environment. This criteria makes it di-cult to achieve goo...
In this paper, we present a technique to automatically synthesize dancing motions for arbitrary songs with dance beats. Our technique is based on analysing a musical tune (can be a song or melody) and synthesizing a motion for the virtual character where the character's movement synchronizes to the musical beats. In order to analyse beats of the tu...
In this paper, we present a technique to automatically synthesize dancing motions for arbitrary songs with dance beats. Our technique is based on analysing a musical tune (can be a song or melody) and synthesizing a motion for the virtual character where the character's movement synchronizes to the musical beats. In order to analyse beats of the tu...
In this paper, we present a technique to automati-cally synthesize dancing moves for arbitrary songs. Our current implementation is for virtual characters, but it is easy to use the same algorithms for entertainer robots, such as robotic dancers, which fits very well to this year's conference theme. Our technique is based on analyzing a musical tun...
ó Autonomous mobile entity navigation through dy- namic and unknown environments is an essential part of many mission critical applications like search and rescue and r e ghting . The dynamism of the environment makes it particularly difcult to achieve navigation using just on-board sensors and existing navigation methods. This motivates the integr...
Inverse kinematics using the Jacobian matrix is a valuable tool for posing and animating articulated characters such as virtual humans, but requires many constraints from the user to create quality motions. We present a method for guiding the IK solution towards natural poses to generate believable poses with smooth motions. We use a large motion l...
Humanoid robots have the potential to become a part of everyday life as their hardware and software challenges are being solved. In this paper we present a system that gets as input a motion trajectory in the form of motion capture data, and produces a controller that controls a humanoid robot in real-time to achieve a motion trajectory that is sim...
Creating realistic human animations is a difficult and time consuming job. One of the best solutions known is motion capture, which is an expensive process. Manipulating existing motion data instead of capturing new data is an efficient way of creating new human animations. In this thesis, we review the current techniques for animation, navigation...
Projects
Projects (3)
to support cancer survivors moving from treatment to living beyond cancer by providing a system based on Big Data technology that, on the one hand, encourages and supports self-care and, on the other hand, identifies outcomes that requires professional intervention (medical, psychological as well as interventions on patients; social and economic needs). The system will seamless integrated to an EHR as well as mHealth applications and other sources of clinical data/knowledge. Health and behavioural data as well as patient outcomes will be collected and analysed at real time using Big Data technologies. Novel analysis algorithms will be developed and innovative technologies will be employed such as the notion of Digital Twin and process analytics based on process mining techniques.
