The Experts below are selected from a list of 2580 Experts worldwide ranked by ideXlab platform
Francisco Herrera - One of the best experts on this subject based on the ideXlab platform.
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hybrid Laser Pointer detection algorithm based on template matching and fuzzy rule based systems for domotic control in real home environments
Applied Intelligence, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Gustavo Olague, Francisco HerreraAbstract:A fundamental problem for disabled or elderly people is to manage their homes while carrying out an almost normal life, which implies using and interacting with a number of home devices. Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non-expensive cameras, and considering real home environments with varying conditions, is currently an open problem. This paper proposes a hybrid technique, where a classic technique used in image detection processes, such as Template Matching, has been combined with a Fuzzy Rule Based System for detecting a Laser spot in real home environments. The idea is to use this new approach to improve the success rate of the previous algorithms used for detecting the Laser spot, decreasing as much as possible the false offs of the system, because, the detection of a false Laser spot could lead to dangerous situations. Using this new hybrid technique a better success rate has been obtained, eliminating almost completely the possibility of dangerous situations that may occur due to incorrect detection of the Laser spot in real home environments.
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evolutionary learning of a Laser Pointer detection fuzzy system for an environment control system
IEEE International Conference on Fuzzy Systems, 2011Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Francisco HerreraAbstract:Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non expensive cameras, and considering real home environments with varying conditions, is currently an open problem. In this paper we propose a hybrid technique, combining a classic technique used in image detection processes, such as Template Matching, with an evolutionary learning of a Fuzzy Rule Based Systems for the Laser spot detection system in real home environments. This proposal improves the success rate in images without Laser spot of the previous classical and non-classical algorithms used for detecting the Laser spot in previous works, decreasing the detection of the false offs which could lead to dangerous situations. Experimental results on a real home environment show the effectiveness of the proposed approach.
Francisco Chavez - One of the best experts on this subject based on the ideXlab platform.
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automatic Laser Pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule based systems
International Journal of Computational Intelligence Systems, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Maria Jose Gacto, Rafael AlcalaAbstract:Abstract In this paper we propose a new approach for Laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for Laser Pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing the success rate in images with Laser spot, i.e., the detection of a false Laser spot (since this could lead to dangerous situations). To this end, we propose to analyze both, the morphology and color of a Laser spot image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed to improve the Laser spot system detection by means of a fine tuning of the involved membership functions thus reducing the system false offs, which is the main objective in this problem. The system presented in this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on Laser morphology and color analysis, shows a better success rate than pre...
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hybrid Laser Pointer detection algorithm based on template matching and fuzzy rule based systems for domotic control in real home environments
Applied Intelligence, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Gustavo Olague, Francisco HerreraAbstract:A fundamental problem for disabled or elderly people is to manage their homes while carrying out an almost normal life, which implies using and interacting with a number of home devices. Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non-expensive cameras, and considering real home environments with varying conditions, is currently an open problem. This paper proposes a hybrid technique, where a classic technique used in image detection processes, such as Template Matching, has been combined with a Fuzzy Rule Based System for detecting a Laser spot in real home environments. The idea is to use this new approach to improve the success rate of the previous algorithms used for detecting the Laser spot, decreasing as much as possible the false offs of the system, because, the detection of a false Laser spot could lead to dangerous situations. Using this new hybrid technique a better success rate has been obtained, eliminating almost completely the possibility of dangerous situations that may occur due to incorrect detection of the Laser spot in real home environments.
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evolutionary learning of a Laser Pointer detection fuzzy system for an environment control system
IEEE International Conference on Fuzzy Systems, 2011Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Francisco HerreraAbstract:Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non expensive cameras, and considering real home environments with varying conditions, is currently an open problem. In this paper we propose a hybrid technique, combining a classic technique used in image detection processes, such as Template Matching, with an evolutionary learning of a Fuzzy Rule Based Systems for the Laser spot detection system in real home environments. This proposal improves the success rate in images without Laser spot of the previous classical and non-classical algorithms used for detecting the Laser spot in previous works, decreasing the detection of the false offs which could lead to dangerous situations. Experimental results on a real home environment show the effectiveness of the proposed approach.
Rafael Alcala - One of the best experts on this subject based on the ideXlab platform.
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automatic Laser Pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule based systems
International Journal of Computational Intelligence Systems, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Maria Jose Gacto, Rafael AlcalaAbstract:Abstract In this paper we propose a new approach for Laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for Laser Pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing the success rate in images with Laser spot, i.e., the detection of a false Laser spot (since this could lead to dangerous situations). To this end, we propose to analyze both, the morphology and color of a Laser spot image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed to improve the Laser spot system detection by means of a fine tuning of the involved membership functions thus reducing the system false offs, which is the main objective in this problem. The system presented in this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on Laser morphology and color analysis, shows a better success rate than pre...
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hybrid Laser Pointer detection algorithm based on template matching and fuzzy rule based systems for domotic control in real home environments
Applied Intelligence, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Gustavo Olague, Francisco HerreraAbstract:A fundamental problem for disabled or elderly people is to manage their homes while carrying out an almost normal life, which implies using and interacting with a number of home devices. Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non-expensive cameras, and considering real home environments with varying conditions, is currently an open problem. This paper proposes a hybrid technique, where a classic technique used in image detection processes, such as Template Matching, has been combined with a Fuzzy Rule Based System for detecting a Laser spot in real home environments. The idea is to use this new approach to improve the success rate of the previous algorithms used for detecting the Laser spot, decreasing as much as possible the false offs of the system, because, the detection of a false Laser spot could lead to dangerous situations. Using this new hybrid technique a better success rate has been obtained, eliminating almost completely the possibility of dangerous situations that may occur due to incorrect detection of the Laser spot in real home environments.
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evolutionary learning of a Laser Pointer detection fuzzy system for an environment control system
IEEE International Conference on Fuzzy Systems, 2011Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Francisco HerreraAbstract:Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non expensive cameras, and considering real home environments with varying conditions, is currently an open problem. In this paper we propose a hybrid technique, combining a classic technique used in image detection processes, such as Template Matching, with an evolutionary learning of a Fuzzy Rule Based Systems for the Laser spot detection system in real home environments. This proposal improves the success rate in images without Laser spot of the previous classical and non-classical algorithms used for detecting the Laser spot in previous works, decreasing the detection of the false offs which could lead to dangerous situations. Experimental results on a real home environment show the effectiveness of the proposed approach.
Francisco Fernandez - One of the best experts on this subject based on the ideXlab platform.
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automatic Laser Pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule based systems
International Journal of Computational Intelligence Systems, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Maria Jose Gacto, Rafael AlcalaAbstract:Abstract In this paper we propose a new approach for Laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for Laser Pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing the success rate in images with Laser spot, i.e., the detection of a false Laser spot (since this could lead to dangerous situations). To this end, we propose to analyze both, the morphology and color of a Laser spot image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed to improve the Laser spot system detection by means of a fine tuning of the involved membership functions thus reducing the system false offs, which is the main objective in this problem. The system presented in this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on Laser morphology and color analysis, shows a better success rate than pre...
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hybrid Laser Pointer detection algorithm based on template matching and fuzzy rule based systems for domotic control in real home environments
Applied Intelligence, 2012Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Gustavo Olague, Francisco HerreraAbstract:A fundamental problem for disabled or elderly people is to manage their homes while carrying out an almost normal life, which implies using and interacting with a number of home devices. Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non-expensive cameras, and considering real home environments with varying conditions, is currently an open problem. This paper proposes a hybrid technique, where a classic technique used in image detection processes, such as Template Matching, has been combined with a Fuzzy Rule Based System for detecting a Laser spot in real home environments. The idea is to use this new approach to improve the success rate of the previous algorithms used for detecting the Laser spot, decreasing as much as possible the false offs of the system, because, the detection of a false Laser spot could lead to dangerous situations. Using this new hybrid technique a better success rate has been obtained, eliminating almost completely the possibility of dangerous situations that may occur due to incorrect detection of the Laser spot in real home environments.
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evolutionary learning of a Laser Pointer detection fuzzy system for an environment control system
IEEE International Conference on Fuzzy Systems, 2011Co-Authors: Francisco Chavez, Francisco Fernandez, Rafael Alcala, Jesus Alcalafdez, Francisco HerreraAbstract:Recent studies in smart homes have proposed methods to use a Laser Pointer for interacting with home devices, which represents a more user-friendly and less expensive home device control environment. However, detecting the Laser spot on the original non-filtered images, using standard and non expensive cameras, and considering real home environments with varying conditions, is currently an open problem. In this paper we propose a hybrid technique, combining a classic technique used in image detection processes, such as Template Matching, with an evolutionary learning of a Fuzzy Rule Based Systems for the Laser spot detection system in real home environments. This proposal improves the success rate in images without Laser spot of the previous classical and non-classical algorithms used for detecting the Laser spot in previous works, decreasing the detection of the false offs which could lead to dangerous situations. Experimental results on a real home environment show the effectiveness of the proposed approach.
Clive H Sell - One of the best experts on this subject based on the ideXlab platform.
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Laser Pointer induced macular damage case report and mini review
International Ophthalmology, 2012Co-Authors: Kiran Turaka, Shepard J Bryan, Alan J Gordon, Rahul Reddy, Henry M Kwong, Clive H SellAbstract:To report Laser Pointer induced damage to retina and choroid and briefly review literature. A case report of a 13-year old Caucasian boy developed blurry central vision and central scotoma in right eye (OD). He was exposed for one minute to class IIIA green Laser Pointer of 650 nm wavelength and 5 mW power. Clinical examination showed a grayish lesion in foveal region. Ancillary testing revealed disruption of the retinal pigment epithelial (RPE) layer in foveal region and indocyanine green angiography demonstrated evidence of choroidal hypofluorescence suggestive of choroidal infarction in OD. Visual acuity improved from 20/100 to 20/60 in one day and he was treated with tapering doses of oral prednisolone (40 mg) for 3 weeks. Laser Pointer with a power of >5 mW caused damage to RPE in the macula. Children should not be given Laser Pointers as toys especially those with label of danger instructions.
