Paper Info
Title
User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach
Abstract
Exergaming, the use of activity, exercise, and information in video games, has been a growing field for the promotion of wellness and for preventing and treating obesity. Realistic exergaming requires movements that are adapted from detailed, fine-grain motions. An appropriate, active exergame requires a user-centric design, allowing for accurate motion recognition as well as a real-time responsiveness, often balancing accuracy with latency. This paper presents a framework for such an exergaming system, specializing on human interaction. This system includes a method for dynamically altering the algorithm to analyze the trade-off between classification accuracy and real-time responsiveness, allowing for a unique, tailored, interactive experience.
Year
DOI
Venue
2014
10.1145/2638728.2638806
UbiComp Adjunct
Keywords
Field
DocType
signal processing,user interfaces,dynamic windowing,wireless health,derivative free optimization,user-centered design,user experience,classification accuracy,exergaming,user centered design
Derivative-free optimization,User experience design,Activity recognition,Computer science,Motion recognition,Latency (engineering),Human interaction,Human–computer interaction,User interface,Multimedia,User-centered design
Conference
Citations 
PageRank 
References 
2
0.37
10
Authors
3
Name
Order
Citations
PageRank
Bobak Mortazavi1458.38
Sunghoon Ivan Lee26516.80
Majid Sarrafzadeh33103317.63