Hareket Yakalama ve Sanal Gerçeklik Teknolojileri Kullanarak Oyun Tabanlı Rehabilitasyon

İnsanların kas ve sinir sisteminin tahribatı ile ortaya çıkan hastalıklar hayat kalitesi üzerinde ciddi etkiler göstermektedir. Bu hastalıklardan en önemlilerden biri hemiplejidir. Hemipleji, diğer bir adıyla kısmi felç, vücudun sol ve sağ bölgelerini etkileyen sinir sistemi hastalığıdır. Söz konusu hastalıkta, bireylerin beyinlerinde meydana gelen hasarlardan dolayı hareket edememe veya hareket etmekte güçlük yaşanılması gibi sorunlar oluşmaktadır. Bu hastalıkta tedavi ve rehabilitasyon aşaması son derece önemlidir. Hastalığı erken teşhis ederek rehabilitasyon süreci hemen başlatılmalıdır. Diğer vücut fonksiyonlarına zarar verilmeden iyileşme sağlanması tedavinin temel amacıdır. Çalışmamızda, rehabilitasyon süreci aşamasındaki hastaların hareketlerini algılayarak, oyun tabanlı bir sanal gerçeklik uygulaması geliştirilmiştir. Hastanın parmaklarına 10 adet esneklik sensörü ve eklemlerine 13 adet MPU9250 eğim sensörü olmak üzere toplamda 23 adet sensör yerleştirilmiştir. Sensörlerden alınan veriler öncelikle kalibre edilmiştir. Kalibre edilmiş sensörlerden, sanal gerçeklik gözlüğüne gelen gerçek zamanlı veriler ile hemipleji hastalarının hareketleri algılanmıştır. Hemipleji hastalarına uzman fizyoterapistler tarafından verilen hareketlere uygun oyun modu tasarlanmıştır. Sanal gerçeklik gözlüğü takılı olan hasta, oyun moduna göre oyun oynayabilmektedir. Gözlükte gösterilen ve uygulanması istenilen oyun, fizyoterapistler tarafından belirlenmiş hareketlere bağlı bir oyundur. Çalışmanın hemipleji hastalarının iyileşme sürecine önemli katkı sağlayacağı düşünülmektedir

Body Motion Capture Using Multiple Inertial Sensors

Near-fall detection is important for medical research since it can help doctors diagnose fall-related diseases and also help alert both doctors and patients of possible falls. However, in people’s daily life, there are lots of similarities between near-falls and other Activities of Daily Living (ADLs), which makes near-falls particularly difficult to detect. In order to find the subtle difference between ADLs and near-fall and accurately identify the latter, the movement of whole human body needs to be captured and displayed by a computer generated avatar. In this thesis, a wireless inertial motion capture system consisting of a central control host and ten sensor nodes is used to capture human body movements. Each of the ten sensor nodes in the system has a tri-axis accelerometer and a tri-axis gyroscope. They are attached to separate locations of a human body to record both angular and acceleration data with which body movements can be captured by applying Euler angle based algorithms, specifically, single rotation order algorithm and the optimal rotation order algorithm. According to the experiment results of capturing ten ADLs, both the single rotation order algorithm and the optimal rotation order algorithm can track normal human body movements without significantly distortion and the latter shows higher accuracy and lower data shifting. Compared to previous inertial systems with magnetometers, this system reduces hardware complexity and software computation while ensures a reasonable accuracy in capturing human body movements

Reanimating cultural heritage through digital technologies

Digital technologies are becoming extremely important for web-based cultural heritage applications. This thesis presents novel digital technology solutions to 'access and interact' with digital heritage objects and collections. These innovative solutions utilize service orientation (web services), workflows, and social networking and Web 2.0 mashup technologies to innovate the creation, interpretation and use of collections dispersed in a global museumscape, where community participation is achieved through social networking. These solutions are embedded in a novel concept called Digital Library Services for Playing with Shared Heritage (DISPLAYS). DISPLAYS is concerned with creating tools and services to implement a digital library system, which allows the heritage community and museum professionals alike to create, interpret and use digital heritage content in visualization and interaction environments using web technologies based on social networking. In particular, this thesis presents a specific implementation of DISPLAYS called the Reanimating Cultural Heritage system, which is modelled on the five main functionalities or services defined in the DISPLAYS architecture, content creation, archival, exposition, presentation and interaction, for handling digital heritage objects. The main focus of this thesis is the design of the Reanimating Cultural Heritage system's social networking functionality that provides an innovative solution for integrating community access and interaction with the Sierra Leone digital heritage repository composed of collections from the British Museum, Glasgow Museums and Brighton Museum and Art Gallery. The novel use of Web 2.0 mashups in this digital heritage repository also allows the seamless integration of these museum collections to be merged with user or community generated content, while preserving the quality of museum collections data. Finally, this thesis tests and evaluates the usability of the Reanimating Cultural Heritage social networking system, in particular the suitability of the digital technology solution deployed. Testing is performed with a user group composed of several users, and the results obtained are presented