Evaluasi Tingkat Akurasi Skeleton Tracking Dan Depth Sensor Pada Microsoft Kinect

There are a lot of studies that use Microsoft Kinect as its device to interact with the system, either stand-alone or integrated into other fields, such as robotics, medical, and entertainment. Of the many studies that have been conducted are to evaluate the performance of Microsoft Kinect. Features that are generally tested are the skeleton tracking, depth sensor, and others. This is generally done to determine the influence of certain factors on the performance of Microsoft Kinect or test the sensor feasibility when applied in certain circumstances. This research aimed to determine the effect the objects of everyday ordinary human beings held by the level of accuracy of execution on the Microsoft Kinect gesture so that it can become the information for future research in developing a system that uses Microsoft Kinect as its device of interaction. The system will be modeled using the Unified Modeling Language (UML) and implemented using C# programming language and Kinect for Windows SDK library. Results from this study is the percentage level of accuracy of execution gesture for every object that was tested on the system interface

Motion Capture for Telemedicine: A Review of Nintendo Wii, Microsoft Kinect, and PlayStation Move

Access to healthcare has been and continues to be difficult for many around the world. With the introduction of telemedicine, this impediment to attaining medical care has been lifted. Although many avenues of telemedicine exist (and have yet to exist), the use of home video game consoles such as the Nintendo Wii®, Microsoft Kinect®, and PlayStation Move® can be used to measure patient progress outside of the office. Due to the nature of each individual console/system, some unique characteristics exist that allow each system to provide its own clinical potential. A comparative analysis of the clinical implications of the Nintendo Wii®, Microsoft Kinect®, and PlayStation Move® showed that with its ease of use and dynamic accuracy, the Microsoft Kinect® offered the most benefit. With further exploration, using the Microsoft Kinect® for telemedicine will be able to improve medical efficiency and hopefully health outcomes

Microsoft Kinect Sensor Evaluation

My summer project evaluates the Kinect game sensor input/output and its suitability to perform as part of a human interface for a spacecraft application. The primary objective is to evaluate, understand, and communicate the Kinect system's ability to sense and track fine (human) position and motion. The project will analyze the performance characteristics and capabilities of this game system hardware and its applicability for gross and fine motion tracking. The software development kit for the Kinect was also investigated and some experimentation has begun to understand its development environment. To better understand the software development of the Kinect game sensor, research in hacking communities has brought a better understanding of the potential for a wide range of personal computer (PC) application development. The project also entails the disassembly of the Kinect game sensor. This analysis would involve disassembling a sensor, photographing it, and identifying components and describing its operation

VALIDITY AND RELIABILITY OF THE MICROSOFT KINECT TO OBTAIN THE EXECUTION TIME OF THE TAEKWONDO’S FRONTAL KICK

The aim of this study was to verify the validity and reliability of the Microsoft Kinect® as a tool to analyze the time of the frontal kick of the Taekwondo (ap chagui). The volunteers performed 15 repetitions of this kick while the execution time data was been obtained, simultaneity, by the Microsoft Kinect® and the OptiTrack System (golden pattern). In order to verify the reliability of the durations of the kicks we calculated the Intraclass Correlation Coefficient (ICC3,k) between execution times found for each system. The Pearson Correlation was used to test the concurrent validity. The results of ICC and r Pearson presented in this study indicate that the Microsoft Kinect®, associated with a tracking algorithm, could be a feasible tool to evaluate the execution time of the frontal kick of the Taekwondo (ap-chagui)

Gesture Control of a Mobile Robot using Kinect Sensor

This paper describes a methodology for gesture control of a custom developed mobile robot, using body gestures and Microsoft Kinect sensor. The Microsoft Kinect sensor’s ability is to track joint positions has been used in order to develop software application gestures recognition and their mapping into control commands. The proposed methodology has been experimentally evaluated. The results of the experimental evaluation, presented in the paper, showed that the proposed methodology is accurate and reliable and it could be used for mobile robot control in practical applications