Pujana Paliyawan

Body motion design and analysis for fighting game interface

This paper presents a full-body motion-control game interface based on a Kinect device. A set of postures and motions for controlling game characters is presented, and the posture-detection algorithm for each posture is implemented by using a rule-based technique with rule-and-threshold optimization. Our experiments show that the proposed optimization can improve the accuracy of posture detection by 13.70%. The proposed techniques are applied to the fighting game called FightingICE, a game platform in recent CIG competitions.

UKI: universal Kinect-type controller by ICE Lab: UKI

Universal Kinect‐type‐controller by ICE Lab (UKI, pronounced as ‘You‐key’) was developed to allow users to control any existing application by using body motions as inputs. The middleware works by converting detected motions into keyboard and/or mouse‐click events and sending them to a target application. This paper presents the structure and design of core modules, along with examples from real cases to illustrate how the middleware can be configured to fit a variety of applications. We present our designs for interfaces that decode all configuration details into a human‐interpretable language, and these interfaces significantly promote user experience and eliminate the need for programming skill. The performance of the middleware is evaluated on fighting‐game motion data, and we make the data publicly available so that they can be used in other researches. UKI welcomes its use by everyone without any restrictions on use; for instance, it can be used to promote healthy life through a means of gaming and/or used to conduct serious research on motion systems. The middleware serves as a shortcut in the development of motion applications—coding of an application to detect motions can be replaced with simple clicks on UKI. Copyright

Towards universal kinect interface for fighting games

This paper presents an approach towards developing a universal Kinect interface supporting game-playing. The proposed interface is designed to be used with existing fighting games of any sort. Players can define their own postures and map them to keystrokes for sending input to a targeted game without the need of accessing game source code. We describe the overview of the interface system; including motion segmentation, posture feature extraction, and posture-to-key mapping.

Mossar: motion segmentation by using splitting and remerging strategies

This paper presents a novel approach for motion segmentation by using strategies of splitting and remerging. The presented approach, Mossar, hybridizes two existing ones to obtain their potential advantages while covering weaknesses: (1) velocity-based, one of the most widely used approaches that has fairly low accuracy but provides computational simplicity and (2) graph-based, a state-of-the-art approach that provides outstanding accuracy, yet bears high computational complexity and a burden in setting of thresholds. An initial set of key frames is generated by a velocity-based splitting process and then fed into a graph-based remerging process for refinement. We present mechanisms that improve key-frames capturing in the velocity-based approach as well as details on how the graph-based approach is modified and later applied to remerging. The proposed approach also allows users to interactively add or reduce the number of key frames to control segmentation hierarchy without the need to change threshold values and re-run segmentation, as usually done in existing approaches. Our experimental results show that the presented hybrid approach, compared to both velocity-based and graph-based, demonstrates superior performance in terms of accuracy and in comparison to graph-based, our approach has not only less complexity but also a lesser number of thresholds, the values of which can be much more simply determined.

Virtual reality system for fire evacuation training in a 3D virtual world

This paper presents a virtual reality (VR) system for fire evacuation training and a natural user interface via Kinect for imitating users movements, e.g. walking, running, step side way, turn and open/close a door, during the training. The incident is set in an realistic environment by imitating one campus building in Bangkok University, where there are robotic, computer, and research laboratories, lecture rooms, and staff offices. The fire starting can be randomly changed to let trainees learn the exit path through the building. The design decision for the system and motion controls are described in order to achieve the objectives of evacuation training.