Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413408
Salman-ul-Hassan Dar, Z. Tanzeel, F. Mahmood, U. Izhar
This paper presents the design of a landmine detection system capable of detecting landmines, IEDs and UXOs. The System has the capability to identify multiple scanner operating units and relays the landmines detected by them onto the base station via Zigbee modules. An algorithm has been designed and tested to detect mines and plot their respective positions on the map. The route followed by the operating units is also indicated. The developed system offers flexibility and support for integration with UGV and robotic manipulator for future innovations.
{"title":"GPS-based landmine detection system for multiple operating units","authors":"Salman-ul-Hassan Dar, Z. Tanzeel, F. Mahmood, U. Izhar","doi":"10.1109/ICRAI.2012.6413408","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413408","url":null,"abstract":"This paper presents the design of a landmine detection system capable of detecting landmines, IEDs and UXOs. The System has the capability to identify multiple scanner operating units and relays the landmines detected by them onto the base station via Zigbee modules. An algorithm has been designed and tested to detect mines and plot their respective positions on the map. The route followed by the operating units is also indicated. The developed system offers flexibility and support for integration with UGV and robotic manipulator for future innovations.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413399
K. Hong, M. M. N. Mannan
Functional near infrared spectroscopy (fNIRS) is non-invasive brain imaging techniques that detects the cortical activity by measuring the change in the concentration of oxy-hemoglobin and de-oxy hemoglobin. It uses near infrared light of two wave lengths, 760 nm and 830 nm. NIRS is emerging neuro imaging modality with high temporal resolution. The advantage of NIRS system over other neuro imaging modalities is low cost, portable, safe and somehow results in short period of time. The scalp remains intact throughout the experiment. In this study we present a method for identification of brain activity by using fNIRS data. The general linear model has been used in study with predicted blood oxygen level dependent (BOLD) response signal and its delayed versions. The normalized least mean square (NLMS) algorithm has been used for identification of unknown parameters in the model recursively. A one way t-test has been performed for the significance of results.
{"title":"Identification of fNIRS based brain activity using adaptive algorithm","authors":"K. Hong, M. M. N. Mannan","doi":"10.1109/ICRAI.2012.6413399","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413399","url":null,"abstract":"Functional near infrared spectroscopy (fNIRS) is non-invasive brain imaging techniques that detects the cortical activity by measuring the change in the concentration of oxy-hemoglobin and de-oxy hemoglobin. It uses near infrared light of two wave lengths, 760 nm and 830 nm. NIRS is emerging neuro imaging modality with high temporal resolution. The advantage of NIRS system over other neuro imaging modalities is low cost, portable, safe and somehow results in short period of time. The scalp remains intact throughout the experiment. In this study we present a method for identification of brain activity by using fNIRS data. The general linear model has been used in study with predicted blood oxygen level dependent (BOLD) response signal and its delayed versions. The normalized least mean square (NLMS) algorithm has been used for identification of unknown parameters in the model recursively. A one way t-test has been performed for the significance of results.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413406
S. Khan, A. Khan, M. Irfan, S. Hussain
In wind turbine the output torque and power depends on the incoming wind speed. Due to the rapid changes in the incoming wind speed the quality of output power becomes a serious problem. Many controls are introduced in wind turbines in order to get a constant output rated power. In this research work we have focused on dynamic analysis and Pitch control of horizontal axis wind turbine. Pitch control is one of the most useful and important control that is present in all of the current wind turbine models. For dynamic analysis and pitch control, simulation techniques and experimental works were done side by side. Simulations were carried out in ADAMS software in which a wind turbine model was imported from Pro/E. The Matlab functions calculated the wind turbine blade parameters and aerodynamic forces. The aerodynamic forces were applied on wind turbine blades in ADAMS environment. Various changes were made in wind turbine blade parameters and similarly output graphs were obtained from ADAMS post-processor. On the other side a wood model of wind turbine was made and tested by applying wind on its blades. The input wind speed was sensed by the sensors and when this speed data was given to the controller it rotated the stepper motors connected with each blade of the turbine. It showed that by introducing the pitch control the power output was successfully controlled in high and low speed conditions, and as a result the overloading and outage of the wind turbine was prevented. By modeling the wind turbine in virtual environment it became very easy to design and test various wind turbine models prior to manufacture.
{"title":"Aerodynamic analysis and dynamic modeling of small horizontal axis wind turbine","authors":"S. Khan, A. Khan, M. Irfan, S. Hussain","doi":"10.1109/ICRAI.2012.6413406","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413406","url":null,"abstract":"In wind turbine the output torque and power depends on the incoming wind speed. Due to the rapid changes in the incoming wind speed the quality of output power becomes a serious problem. Many controls are introduced in wind turbines in order to get a constant output rated power. In this research work we have focused on dynamic analysis and Pitch control of horizontal axis wind turbine. Pitch control is one of the most useful and important control that is present in all of the current wind turbine models. For dynamic analysis and pitch control, simulation techniques and experimental works were done side by side. Simulations were carried out in ADAMS software in which a wind turbine model was imported from Pro/E. The Matlab functions calculated the wind turbine blade parameters and aerodynamic forces. The aerodynamic forces were applied on wind turbine blades in ADAMS environment. Various changes were made in wind turbine blade parameters and similarly output graphs were obtained from ADAMS post-processor. On the other side a wood model of wind turbine was made and tested by applying wind on its blades. The input wind speed was sensed by the sensors and when this speed data was given to the controller it rotated the stepper motors connected with each blade of the turbine. It showed that by introducing the pitch control the power output was successfully controlled in high and low speed conditions, and as a result the overloading and outage of the wind turbine was prevented. By modeling the wind turbine in virtual environment it became very easy to design and test various wind turbine models prior to manufacture.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413412
I. Ullah, Q. Ullah, F. Ullah, Seoyong Shin
In the intelligent transportation system, various accident avoidance techniques have been applied. Among them, one of the most common issues is the collision, which is yet unsolved problem. To this end, we develop collision warning and avoidance system (CWAS), which is implemented in the wheeled mobile robot. Likewise, path planning is a crucial problem in the mobile robots to perform a given task correctly. Here, a tracking system is presented for the mobile robot, which follows an object. Thus, we have implemented an integrated CWAS and tracking system in the mobile robot. Both systems can be activated independently. In the CWAS, the robot is controlled through a remotely controlled device, and collision prediction and avoidance functions are performed. In the tracking system, the robot performs tasks autonomously, where the robot maintains a constant distance from the followed object. The surrounding information is obtained through the range sensors, and the control functions are performed through the microcontroller. The front, left, and right sensors are activated to track the object, and all the sensors are used for the CWAS. Two algorithms based on the sensory information are developed with the distance control approach. The proposed system is tested using the binary logic controller and the fuzzy logic controller (FLC). The comparison of both controllers is also described by preferring time delay and complexity. The efficiency of the robot is improved by increasing smoothness in motion using the FLC, achieving accuracy in tracking, and advancements in the CWAS. Finally, simulation and experimental outcomes have displayed the authenticity of the system.
{"title":"Integrated collision avoidance and tracking system for mobile robot","authors":"I. Ullah, Q. Ullah, F. Ullah, Seoyong Shin","doi":"10.1109/ICRAI.2012.6413412","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413412","url":null,"abstract":"In the intelligent transportation system, various accident avoidance techniques have been applied. Among them, one of the most common issues is the collision, which is yet unsolved problem. To this end, we develop collision warning and avoidance system (CWAS), which is implemented in the wheeled mobile robot. Likewise, path planning is a crucial problem in the mobile robots to perform a given task correctly. Here, a tracking system is presented for the mobile robot, which follows an object. Thus, we have implemented an integrated CWAS and tracking system in the mobile robot. Both systems can be activated independently. In the CWAS, the robot is controlled through a remotely controlled device, and collision prediction and avoidance functions are performed. In the tracking system, the robot performs tasks autonomously, where the robot maintains a constant distance from the followed object. The surrounding information is obtained through the range sensors, and the control functions are performed through the microcontroller. The front, left, and right sensors are activated to track the object, and all the sensors are used for the CWAS. Two algorithms based on the sensory information are developed with the distance control approach. The proposed system is tested using the binary logic controller and the fuzzy logic controller (FLC). The comparison of both controllers is also described by preferring time delay and complexity. The efficiency of the robot is improved by increasing smoothness in motion using the FLC, achieving accuracy in tracking, and advancements in the CWAS. Finally, simulation and experimental outcomes have displayed the authenticity of the system.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413379
Muhammad Mohsin Rohani, Muhammad Tahir, Arif Mushtaq
Interacting with touch screen mobiles using thumb is nowadays becoming a common practice. Techniques have been developed to provide the ease of use in interacting with touch screen using thumb. These techniques were rather inefficient in terms of time and error. We propose a model CoGMI which describes an interaction technique which that is the combination of coordinated gestures (drag gestures) and direct touch. The proposed model could be helpful in minimizing the issues such as 1) distant targets reach, 2) the selection of distant targets, 3) accidental selection of targets, 4) occlusion, and 5) accuracy.
{"title":"CoGMI: Coordinated gestures for one-handed mobile interaction","authors":"Muhammad Mohsin Rohani, Muhammad Tahir, Arif Mushtaq","doi":"10.1109/ICRAI.2012.6413379","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413379","url":null,"abstract":"Interacting with touch screen mobiles using thumb is nowadays becoming a common practice. Techniques have been developed to provide the ease of use in interacting with touch screen using thumb. These techniques were rather inefficient in terms of time and error. We propose a model CoGMI which describes an interaction technique which that is the combination of coordinated gestures (drag gestures) and direct touch. The proposed model could be helpful in minimizing the issues such as 1) distant targets reach, 2) the selection of distant targets, 3) accidental selection of targets, 4) occlusion, and 5) accuracy.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125131136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413422
M. Khan, Raza ul Islam, J. Iqbal
This survey is aimed at presenting the major robust control strategies for rigid robot manipulators. The techniques discussed are feedback linearization/Computed torque control, Variable structure compensator, Passivity based approach and Disturbance observer based control. The first one is based on complete dynamic model of a robot. It results in simple linear control which offers guaranteed stability. Variable structure compensator uses a switching/relay action to overcome dynamic uncertainties and disturbances. Passivity based controller make use of passive structure of a robot. If passivity of a feedback system is proved, nonlinearities and uncertainties will not affect the stability. Disturbance observer based controllers estimate disturbances, which can be cancelled out to achieve a nominal model, for which a simple controller can then be designed. This paper, after explaining each control strategy in detail, finally compares these strategies for their pros and cons. Possible solutions to cope with the drawbacks have also been presented in tabular form.
{"title":"Control strategies for robotic manipulators","authors":"M. Khan, Raza ul Islam, J. Iqbal","doi":"10.1109/ICRAI.2012.6413422","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413422","url":null,"abstract":"This survey is aimed at presenting the major robust control strategies for rigid robot manipulators. The techniques discussed are feedback linearization/Computed torque control, Variable structure compensator, Passivity based approach and Disturbance observer based control. The first one is based on complete dynamic model of a robot. It results in simple linear control which offers guaranteed stability. Variable structure compensator uses a switching/relay action to overcome dynamic uncertainties and disturbances. Passivity based controller make use of passive structure of a robot. If passivity of a feedback system is proved, nonlinearities and uncertainties will not affect the stability. Disturbance observer based controllers estimate disturbances, which can be cancelled out to achieve a nominal model, for which a simple controller can then be designed. This paper, after explaining each control strategy in detail, finally compares these strategies for their pros and cons. Possible solutions to cope with the drawbacks have also been presented in tabular form.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129109146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413381
K. Kamal, M. Farid, S. Mathavan
Knocking in SI (Spark Ignition) engines is one of the most addressable problems. If not detected in early stages, it causes a severe damage to an SI engine. Various techniques have been proposed so far, in order to detect early knock symptoms. This paper presents a novel approach to detect knocking using technique of Artificial Intelligence. A four stroke, single cylinder engine is simulated using GT Power engine simulation software. Data is generated through simulation for both knock and no-knock conditions. A CMAC (Cerebellar Model Articulation Controller) based neural network is then applied as an AI (Artificial Intelligence) tool to distinguish between knock and no-knock conditions. The results show a promising future for CMAC neural networks as a technique to detect knocking in SI engines.
{"title":"Detection of knocking in Spark Ignition (SI) engines using CMAC neural networks","authors":"K. Kamal, M. Farid, S. Mathavan","doi":"10.1109/ICRAI.2012.6413381","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413381","url":null,"abstract":"Knocking in SI (Spark Ignition) engines is one of the most addressable problems. If not detected in early stages, it causes a severe damage to an SI engine. Various techniques have been proposed so far, in order to detect early knock symptoms. This paper presents a novel approach to detect knocking using technique of Artificial Intelligence. A four stroke, single cylinder engine is simulated using GT Power engine simulation software. Data is generated through simulation for both knock and no-knock conditions. A CMAC (Cerebellar Model Articulation Controller) based neural network is then applied as an AI (Artificial Intelligence) tool to distinguish between knock and no-knock conditions. The results show a promising future for CMAC neural networks as a technique to detect knocking in SI engines.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413423
M. Draz, M. Shoukath Ali, M. Majeed, U. Ejaz, U. Izhar
This paper presents the design, fabrication and control of the Segway human transporter; a two-wheeled, self-balancing electric vehicle. We aim at producing a fully-operational Segway vehicle with a compact design which caters for shock absorption on rough terrains and includes an improved control system. The vehicle has a top speed of 13 km/h, a load capacity of over 2000N and a balancing time of less than 2 seconds.
{"title":"Segway electric vehicle","authors":"M. Draz, M. Shoukath Ali, M. Majeed, U. Ejaz, U. Izhar","doi":"10.1109/ICRAI.2012.6413423","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413423","url":null,"abstract":"This paper presents the design, fabrication and control of the Segway human transporter; a two-wheeled, self-balancing electric vehicle. We aim at producing a fully-operational Segway vehicle with a compact design which caters for shock absorption on rough terrains and includes an improved control system. The vehicle has a top speed of 13 km/h, a load capacity of over 2000N and a balancing time of less than 2 seconds.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413419
M. Abdullah Bin Azhar, W. Hassan, U. Rahim
Simple self balancing vehicles require that a single physical input be sufficient for balancing as well as continuous movement. This paper discusses the control behavior of PID controller for such a vehicle named SubukRaftar which has a digital filter and controller running on an AVR microcontroller. Control variable, the tilt angle of platform, is plotted using MATLAB to study response of the controller. Response of two sensors used, gyroscope and accelerometer are also analyzed using MATLAB and possible complementary filtering solution is discussed.
{"title":"PID control behavior and sensor filtering for a self balancing personal vehicle","authors":"M. Abdullah Bin Azhar, W. Hassan, U. Rahim","doi":"10.1109/ICRAI.2012.6413419","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413419","url":null,"abstract":"Simple self balancing vehicles require that a single physical input be sufficient for balancing as well as continuous movement. This paper discusses the control behavior of PID controller for such a vehicle named SubukRaftar which has a digital filter and controller running on an AVR microcontroller. Control variable, the tilt angle of platform, is plotted using MATLAB to study response of the controller. Response of two sensors used, gyroscope and accelerometer are also analyzed using MATLAB and possible complementary filtering solution is discussed.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"718 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122995318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-10-01DOI: 10.1109/ICRAI.2012.6413378
M. S. Khan, I. Khan, M. Shafi
The study is based on an experiment to measure the affective states of computer users via their use of mouse and keyboard. The experiment was replicated from a previous study by Khan et al., [5] resulting in significant correlations between the computer users pattern of interactions and their valence, arousal ratings. This study utilized the same data set from [5] and re-confirmed its validity by training Artificial Neural Networks (ANN). The data was divided into two portions for each individual. A portion to train ANN on his/her patterns of interaction and other portion to test the ANN. The study resulted in an average recognition rate of 64.72 % for valence and 61.02 % for arousal ratings. The highest recognition rates for individual participants' valence and arousal were 100% and 87% respectively. These figures suggest that ANN is a bright prospect for the measurement of affective states of individual computer users via their interaction with keyboard and mouse.
{"title":"Keyboard and mouse interaction based mood measurement using artificial neural networks","authors":"M. S. Khan, I. Khan, M. Shafi","doi":"10.1109/ICRAI.2012.6413378","DOIUrl":"https://doi.org/10.1109/ICRAI.2012.6413378","url":null,"abstract":"The study is based on an experiment to measure the affective states of computer users via their use of mouse and keyboard. The experiment was replicated from a previous study by Khan et al., [5] resulting in significant correlations between the computer users pattern of interactions and their valence, arousal ratings. This study utilized the same data set from [5] and re-confirmed its validity by training Artificial Neural Networks (ANN). The data was divided into two portions for each individual. A portion to train ANN on his/her patterns of interaction and other portion to test the ANN. The study resulted in an average recognition rate of 64.72 % for valence and 61.02 % for arousal ratings. The highest recognition rates for individual participants' valence and arousal were 100% and 87% respectively. These figures suggest that ANN is a bright prospect for the measurement of affective states of individual computer users via their interaction with keyboard and mouse.","PeriodicalId":105350,"journal":{"name":"2012 International Conference of Robotics and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129978236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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