Kinect helps to find objects in complex scenes
European researchers have developed a computer vision-based tracking system with vibrational feedback that can be used to steer a user's hand toward an object of interest.
Finding a specific object in a complex real-world scene is a common yet time-consuming and frustrating chore for human beings.
To help with the task, researchers at the Helsinki Institute for Information Technology (HIIT; Helsinki, Finland) and the Max Planck Institute for Informatics (Saarbrücken, Germany) have developed a computer vision-based tracking system with vibrational feedback that can be used to steer a user's hand towards an object of interest.
The system uses four vibrotactile actuators mounted on a glove and a Microsoft Kinect sensor for tracking the user's hand. A dynamic guidance algorithm calculates actuation patterns on the glove based on the distance of the user and direction to the target.
When put to use, the Kinect-based system enabled users to find objects in complex visual scenes up to three times faster. The researchers believe that the system could help users in daily visual search tasks in supermarkets, parking lots, warehouses and libraries.
A research paper on the system was presented at the 25th ACM Symposium on User Interface Software and Technology UIST'12 in Boston, MA, USA on 7–10 October, 2012.
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-- Dave Wilson, Senior Editor,Vision Systems Design