2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Robotic smart house to assist people with movement disabilities
Autonomous Robots
A point-and-click interface for the real world: laser designation of objects for mobile manipulation
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
A review of smart homes-Present state and future challenges
Computer Methods and Programs in Biomedicine
An independent and non-intrusive laser pointer environment control device system
Proceedings of the 5th international conference on Pervasive services
Evolutionary learning of local descriptor operators for object recognition
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Handbook of Ambient Intelligence and Smart Environments
Handbook of Ambient Intelligence and Smart Environments
Vision based laser pointer interaction for flexible screens
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Object recognition with an optimized ventral stream model using genetic programming
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Evolving visual attention programs through EVO features
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Evolving a conspicuous point detector based on an artificial dorsal stream: SLAM system
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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This paper introduces the application of a new GP based Focus of Attention technique capable of improving the accuracy level when using a Laser Pointer as an interactive device. Laser Pointers have been previously employed in combination with environment control systems as interaction devices, allowing users to send orders to devices. Accurate detection of laser spots is required for sending correct orders; moreover, false offs must be eradicated, thus preventing devices to autonomously activate/deactivate when orders have not been sent by users. The idea here is to apply a self-adjusting process to a GP based algorithm capable of focusing the attention of a visual recognition system on a narrow area of an image, where laser spots will be then located. Images are taken by video cameras working on users' environment. The results show that the new approach improves significantly the accuracy level when laser spots are present -users sending orders- while maintains the extremely low values of false offs provided by previous techniques.