The go-go interaction technique: non-linear mapping for direct manipulation in VR
Proceedings of the 9th annual ACM symposium on User interface software and technology
Towards a system for reusable 3D interaction techniques
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Enhanced interactive gaming by blending full-body tracking and gesture animation
ACM SIGGRAPH ASIA 2010 Sketches
Interaction in Augmented Reality Environments Using Kinect
SVR '11 Proceedings of the 2011 XIII Symposium on Virtual Reality
Virtual sensors: rapid prototyping of ubiquitous interaction with a mobile phone and a Kinect
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Kinect-based augmented reality projection with perspective correction
ACM SIGGRAPH 2011 Posters
Augmented mirror: interactive augmented reality system based on kinect
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Computing range flow from multi-modal Kinect data
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
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Manga generator: immersive posing role playing game in manga world
Proceedings of the Virtual Reality International Conference: Laval Virtual
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This article contributes to the improvement of natural user interfaces (NUI) using depth-based kinematics recognition tools like the Microsoft Kinect. The proposed method, "AccuMotion" is comprised of tracking sequential key poses as accumulated motion. The AccuMotion recognition algorithm is based on multiple kinematics evaluation functions that evaluate the dot products of target bone structures with the user's kinematic bone structure. Each function continuously outputs a similarity ratio between its respective target and input from the user's kinematic data. Target bone structures are defined by the developers as ideal or arbitrary values. This method is effective for a wide range of users due to its use of a kinematics data that allows for differences of length in user bones. The same target poses apply to a wide range of users through the use of a generic algorithm and user profiling. As an experiment, the recognition function was tested for four directional inputs indicated by user arm movements. The results suggest AccuMotion is suitable for navigating presentation software such as slideshows and video players with solid stability.