John V Monaco - Academia.edu (original) (raw)
Papers by John V Monaco
The Pace University Stylometry Biometric System was developed as an extension of a previously dev... more The Pace University Stylometry Biometric System was developed as an extension of a previously developed keystroke biometric system. Earlier experiments on short texts taken from online test-takers gave poor results on the Pace system. This study tests the system on text input ranging from 250 to 10,000 words to obtain the accuracy as a function of text length. 10 samples each from 30 authors were collected for a total of 300 texts, all published between 1880 and 1930. The results show that performance as measured by the Equal Error Rate generally improves with increased text length, and that the best results are achieved with fewer subjects and "strong" training.
2011 Aerospace Conference, 2011
A robot collaborating with astronauts needs to comprehend and predict their movements. We present... more A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot's visual data is registered with the virtual world to construct a model of the astronauts' dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to... more One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to achieve realworld goals by high-level directions rather than complex, low-level robot programming. Such a system must have the ability to represent, problem-solve and learn about its environment as well as communicate with other agents. In previous work, we have proposed ADAPT, a Cognitive Architecture that views perception as top-down and goaloriented and part of the problem solving process. Our approach is linked to a SOAR-based problem-solving and learning framework. In this paper, we present an architecture for the perceptive and world modelling components of ADAPT and report on experimental results using this architecture to predict complex object behaviour.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
We are building a robot cognitive architecture that constructs a real-time virtual copy of itself... more We are building a robot cognitive architecture that constructs a real-time virtual copy of itself and its environment, including people, and uses the model to process perceptual information and to plan its movements. This paper describes the structure of this architecture.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to... more One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to achieve realworld goals by high-level directions rather than complex, low-level robot programming. Such a system must have the ability to represent, problem-solve and learn about its environment as well as communicate with other agents. In previous work, we have proposed ADAPT, a Cognitive Architecture that views perception as top-down and goaloriented and part of the problem solving process. Our approach is linked to a SOAR-based problem-solving and learning framework. In this paper, we present an architecture for the perceptive and world modelling components of ADAPT and report on experimental results using this architecture to predict complex object behaviour.
2011 Aerospace Conference, 2011
A robot collaborating with astronauts needs to comprehend and predict their movements. We present... more A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot's visual data is registered with the virtual world to construct a model of the astronauts' dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
We are building a robot cognitive architecture that constructs a real-time virtual copy of itself... more We are building a robot cognitive architecture that constructs a real-time virtual copy of itself and its environment, including people, and uses the model to process perceptual information and to plan its movements. This paper describes the structure of this architecture.
2013 European Intelligence and Security Informatics Conference, 2013
Artificial Intelligence Research, 2014
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
2011 Aerospace Conference, 2011
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
2012 European Intelligence and Security Informatics Conference, 2012
2013 European Intelligence and Security Informatics Conference, 2013
2011 International Joint Conference on Biometrics (IJCB), 2011
Keystroke and stylometry behavioral biometrics were investigated with the objective of developing... more Keystroke and stylometry behavioral biometrics were investigated with the objective of developing a robust system to authenticate students taking online examinations. This work responds to the 2008 U.S. Higher Education Opportunity Act that requires institutions of higher learning undertake greater access control efforts, by adopting identification technologies as they become available, to assure that students of record are those actually accessing the systems and taking the exams in online courses. Performance statistics on keystroke, stylometry, and combined keystroke-stylometry systems were obtained on data from 30 students taking examinations in a university course. The performance of the keystroke system was 99.96% and 100.00%, while that of the stylometry system was considerably weaker at 74% and 78%, on test input of 500 and 1000 words, respectively. To further investigate the stylometry system, a separate study on 30 book authors achieved performance of 88.2% and 91.5% on samples of 5000 and 10000 words, respectively, and the varied performance over the population of authors was analyzed.
2nd International Workshop on Biometrics and Forensics, 2014
The Pace University Stylometry Biometric System was developed as an extension of a previously dev... more The Pace University Stylometry Biometric System was developed as an extension of a previously developed keystroke biometric system. Earlier experiments on short texts taken from online test-takers gave poor results on the Pace system. This study tests the system on text input ranging from 250 to 10,000 words to obtain the accuracy as a function of text length. 10 samples each from 30 authors were collected for a total of 300 texts, all published between 1880 and 1930. The results show that performance as measured by the Equal Error Rate generally improves with increased text length, and that the best results are achieved with fewer subjects and "strong" training.
2011 Aerospace Conference, 2011
A robot collaborating with astronauts needs to comprehend and predict their movements. We present... more A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot's visual data is registered with the virtual world to construct a model of the astronauts' dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to... more One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to achieve realworld goals by high-level directions rather than complex, low-level robot programming. Such a system must have the ability to represent, problem-solve and learn about its environment as well as communicate with other agents. In previous work, we have proposed ADAPT, a Cognitive Architecture that views perception as top-down and goaloriented and part of the problem solving process. Our approach is linked to a SOAR-based problem-solving and learning framework. In this paper, we present an architecture for the perceptive and world modelling components of ADAPT and report on experimental results using this architecture to predict complex object behaviour.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
We are building a robot cognitive architecture that constructs a real-time virtual copy of itself... more We are building a robot cognitive architecture that constructs a real-time virtual copy of itself and its environment, including people, and uses the model to process perceptual information and to plan its movements. This paper describes the structure of this architecture.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to... more One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to achieve realworld goals by high-level directions rather than complex, low-level robot programming. Such a system must have the ability to represent, problem-solve and learn about its environment as well as communicate with other agents. In previous work, we have proposed ADAPT, a Cognitive Architecture that views perception as top-down and goaloriented and part of the problem solving process. Our approach is linked to a SOAR-based problem-solving and learning framework. In this paper, we present an architecture for the perceptive and world modelling components of ADAPT and report on experimental results using this architecture to predict complex object behaviour.
2011 Aerospace Conference, 2011
A robot collaborating with astronauts needs to comprehend and predict their movements. We present... more A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot's visual data is registered with the virtual world to construct a model of the astronauts' dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
We are building a robot cognitive architecture that constructs a real-time virtual copy of itself... more We are building a robot cognitive architecture that constructs a real-time virtual copy of itself and its environment, including people, and uses the model to process perceptual information and to plan its movements. This paper describes the structure of this architecture.
2013 European Intelligence and Security Informatics Conference, 2013
Artificial Intelligence Research, 2014
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 2010
2011 Aerospace Conference, 2011
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 2012
2012 European Intelligence and Security Informatics Conference, 2012
2013 European Intelligence and Security Informatics Conference, 2013
2011 International Joint Conference on Biometrics (IJCB), 2011
Keystroke and stylometry behavioral biometrics were investigated with the objective of developing... more Keystroke and stylometry behavioral biometrics were investigated with the objective of developing a robust system to authenticate students taking online examinations. This work responds to the 2008 U.S. Higher Education Opportunity Act that requires institutions of higher learning undertake greater access control efforts, by adopting identification technologies as they become available, to assure that students of record are those actually accessing the systems and taking the exams in online courses. Performance statistics on keystroke, stylometry, and combined keystroke-stylometry systems were obtained on data from 30 students taking examinations in a university course. The performance of the keystroke system was 99.96% and 100.00%, while that of the stylometry system was considerably weaker at 74% and 78%, on test input of 500 and 1000 words, respectively. To further investigate the stylometry system, a separate study on 30 book authors achieved performance of 88.2% and 91.5% on samples of 5000 and 10000 words, respectively, and the varied performance over the population of authors was analyzed.
2nd International Workshop on Biometrics and Forensics, 2014