Aydemir, GA and Langdon, PM and Godsill, S (2013) User target intention recognition from cursor position using kalman filter. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8009 L. pp. 419-426. ISSN 0302-9743Full text not available from this repository.
This paper discusses user target intention recognition algorithms for pointing - clicking tasks to reduce users' pointing time and difficulty. Predicting targets by comparing the bearing angles to targets proposed as one of the first algorithms  is compared with a Kalman Filter prediction algorithm. Accuracy and sensitivity of prediction are used as performance criteria. The outcomes of a standard point and click experiment are used for performance comparison, collected from both able-bodied and impaired users. © 2013 Springer-Verlag Berlin Heidelberg.
|Uncontrolled Keywords:||cursor movement Intention Recognition Kalman Filter tracking|
|Divisions:||Div C > Engineering Design|
|Depositing User:||Cron Job|
|Date Deposited:||07 Mar 2014 12:05|
|Last Modified:||08 Dec 2014 02:18|