Paper Info
Title
AccuMotion: intuitive recognition algorithm for new interactions and experiences for the post-PC era
Abstract
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.
Year
DOI
Venue
2012
10.1145/2331714.2331732
VRIC
Keywords
Field
DocType
accumotion recognition algorithm,user arm movement,user profiling,post-pc era,natural user interface,user bone,intuitive recognition algorithm,target bone structure,depth-based kinematics recognition tool,new interaction,wide range,kinematic bone structure,respective target,interaction,kinect,evaluation function,generic algorithm
Computer vision,Kinematics,Profiling (computer programming),Computer science,Software,Human–computer interaction,User modeling,Artificial intelligence,Dot product,User interface,Natural user interface,Genetic algorithm
Conference
Citations 
PageRank 
References 
3
0.68
10
Authors
5
Name
Order
Citations
PageRank
Takuya Sakai130.68
Wataru Fujimura2243.93
Songer Robert330.68
Takayuki Kosaka4205.04
Akihiko Shirai57118.41