Kasım Özacar

Kasım Özacar
Karabuk University · Department of Computer Engineering

Doctor of Engineering

About

15
Publications
8,770
Reads
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126
Citations
Additional affiliations
January 2018 - January 2019
Karabuk University
Position
  • Professor (Assistant)
February 2017 - present
Karabuk University
Position
  • Lecturer
Education
October 2012 - September 2016
Tohoku University
Field of study
  • Information Sciences
October 2010 - September 2012
Tohoku University
Field of study
  • Information Sciences
September 2004 - June 2009
Gebze Technical University
Field of study
  • Mathematics

Publications

Publications (15)
Article
Full-text available
Foot pain, particularly caused by heel spurs and Sever's disease, significantly impacts mobility and daily activities for many people. These diseases are traditionally diagnosed by orthopedic specialists using X‐ray images of the lateral foot. In certain situations, the absence of specialists requires the adoption of AI‐based methods; however, the...
Article
Full-text available
Doğal afetler ve insan kaynaklı tahribatlar sebebi ile zarar gören tarihi yapılar ilk haline en yakın bir görünüme kavuşacak şekilde restore edilmektedir. Aynı zamanda mimarlık öğrencileri bu yapılar üzerinde restorasyon süreçlerini öğrenmek için araştırmalar yapmakta ve bilgi toplamaktadır. Fakat erişebilirliği kısıtlayan pandemi, hastalık, tehlik...
Article
Full-text available
Supported by artificial intelligence (AI), recently, two different topics have taken an essential role in many applications, which are chatbots and virtual humans, owing to their capability in establishing communication between them and the users for accomplishing different tasks depending on the purpose they were built for. Virtual humans are gett...
Chapter
In this study, we aim to propose a useful course design framework for undergraduate programming languages in hybrid learning environments. Hybrid learning environments are a means of delivering instructional content in that online educational materials and opportunities for interaction were combined with traditional classroom methods. We followed t...
Article
Full-text available
Industry 4.0 and 5.0 topics are emerging fields and have seen rising demand recently. There is a critical need, on the other hand, for improved methods of instructing programming languages since a growing lack of student motivation during the pandemic has had a deleterious influence on the education of programmers. In this context, online/hybrid co...
Article
Architectural education requires students to work as a group under the supervision of a teacher in the same physical environment since they need interaction to learn how to do a set of measurements in practice. However, a number of obstacles, such as pandemic situations, weather conditions, and the crowdedness of working sites, do not allow them to...
Article
Full-text available
Human activity recognitions have been widely used nowadays by end users thanks to extensive usage of smartphones. Smartphones, by self-containing low-cost sensing technology, can track our daily activities for serving healthcare, sport, interactive AR/VR games and so on. However, smartphone technology is evolving and the techniques of using the dat...
Article
Full-text available
We propose SmartEscape, a real-time, dynamic, intelligent and user-specific evacuation system with a mobile interface for emergency cases such as fire. Unlike past work, we explore dynamically changing conditions and calculate a personal route for an evacuee by considering his/her individual features. SmartEscape, which is fast, low-cost, low resou...
Conference Paper
Full-text available
Interactive 3D architectural indoor design have been more popular after it benefited from Virtual Reality (VR) technologies. VR brings computer-generated 3D content to real life scale and enable users to observe immersive indoor environments so that users can directly modify it. This opportunity enables buyers to purchase a property off-the-plan ch...
Conference Paper
Full-text available
This paper presents an automatic 3D gesture collection concept and architecture based on a rhythm game for public displays. The system was implemented using an off-the-shelf gesture controller, was deployed on a public vertical screen, and was used to study the effects of alternative gesture guidance conditions. In the evaluation presented, we exam...
Article
Full-text available
We conducted a user study evaluating five selection techniques for augmented reality in optical see-through head-mounted displays (OST-HMDs). The techniques we studied aim at supporting mobile usage scenarios where the devices do not need external tracking tools or special environments, and therefore we selected techniques that rely solely on track...
Article
Full-text available
Optical see-through head-mounted displays enable augmented reality (AR) applications that display virtual objects overlaid on the real world. At the core of this new generation of devices are low-cost tracking technologies that allow us to interpret users' motion in the real world in relation to the virtual content for the purposes of navigation an...
Conference Paper
Full-text available
We present GyroWand, a raycasting technique for 3D interactions in self-contained augmented reality (AR) head-mounted displays. Unlike traditional raycasting which requires absolute spatial and rotational tracking of a user's hand or controller to direct the ray, GyroWand relies on the relative rotation values captured by an inertial measurement un...
Conference Paper
IllusionHole (IH) is an interactive stereoscopic tabletop display that allows multiple users to interactively observe and directly point at a particular position of a stereoscopic object in a shared workspace. We explored a mid-air direct multi-finger interaction technique to efficiently perform fundamental object manipulations for single user (e.g...

Questions

Question (1)
Question
I have a 5x2 within subject design (independent variables: technique (5), condition (2)) for 12 subjects. SPSS gives me df2 value as 44 when I analyze the result of the experiment.
Howevers, a reviewer thinks that df2 should be 99 [(number of subjects=12-1)*(5*2-1)]? How is that possible?

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