This paper proposes a robust, low-cost, sensor based system that is capable of recognising sitting postures and placing them in correspondence with sitting activities. This system is also capable of predicting subsequent activities for individual users. Force Sensing Resistors are mounted on the seat and back of a chair to gather the hap tic (i.e., Touch-based) posture information. Subsequently, posture information is fed into two classifiers, one for back posture and the other one for leg posture. A hidden Markov model approach is used to establish the activity model from sitting posture sequences. Furthermore, by implementing a context awareness prediction algorithm (e.g. Active-Lezi), the system discovers patterns and predicts subsequent activities. The system will lead to many potential applications such as the analysis of sitting or lying subjects, motion tracking for rehabilitation, interaction assistance, and the detection of anomalous activities.
{"title":"IntelliChair: An Approach for Activity Detection and Prediction via Posture Analysis","authors":"Teng Fu, Allan Macleod","doi":"10.1109/IE.2014.39","DOIUrl":"https://doi.org/10.1109/IE.2014.39","url":null,"abstract":"This paper proposes a robust, low-cost, sensor based system that is capable of recognising sitting postures and placing them in correspondence with sitting activities. This system is also capable of predicting subsequent activities for individual users. Force Sensing Resistors are mounted on the seat and back of a chair to gather the hap tic (i.e., Touch-based) posture information. Subsequently, posture information is fed into two classifiers, one for back posture and the other one for leg posture. A hidden Markov model approach is used to establish the activity model from sitting posture sequences. Furthermore, by implementing a context awareness prediction algorithm (e.g. Active-Lezi), the system discovers patterns and predicts subsequent activities. The system will lead to many potential applications such as the analysis of sitting or lying subjects, motion tracking for rehabilitation, interaction assistance, and the detection of anomalous activities.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"61 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130079293","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}
A video electroencephalogram (EEG) is the gold standard test for the monitoring of long term epilepsy, differentiating types of epilepsy and investigations of non-epileptic seizures. The use of video EEG in current practice is significantly limited by cost and non-availability of resources, causing delays for patients. This development addresses whether the limitations can be overcome by mobile technology augmented by a web based ICT solution. The experiment demonstrated that disadvantages of hospital based video EEG can be addressed by using ambulatory EEG and IP cameras at the subject's home. The data obtained can potentially be of diagnostic significance, given sufficient technological rigor.
{"title":"Home Based Mobile Solution for Video Ambulatory EEG Monitoring","authors":"Shaji Chacko, P. Mccullagh","doi":"10.1109/IE.2014.23","DOIUrl":"https://doi.org/10.1109/IE.2014.23","url":null,"abstract":"A video electroencephalogram (EEG) is the gold standard test for the monitoring of long term epilepsy, differentiating types of epilepsy and investigations of non-epileptic seizures. The use of video EEG in current practice is significantly limited by cost and non-availability of resources, causing delays for patients. This development addresses whether the limitations can be overcome by mobile technology augmented by a web based ICT solution. The experiment demonstrated that disadvantages of hospital based video EEG can be addressed by using ambulatory EEG and IP cameras at the subject's home. The data obtained can potentially be of diagnostic significance, given sufficient technological rigor.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106597","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}
J. Zao, T. Gan, Chun-Kai You, Sergio Jose Rodreguez Mendez, Cheng-En Chung, Yu-Te Wang, T. Mullen, T. Jung
An augmented brain computer interface that can detect users' brain states in real-life situations has been developed using wireless EEG headsets, smart phones and ubiquitous computing services. This kind of wearable natural user interfaces will have a wide-range of potential applications in future smart environments. This paper describes its ubiquitous system architecture and introduces its enabling technologies, which include machine-to-machine publish/subscribe protocols, multi-tier fog/cloud computing infrastructure and a linked data web. Its real-time responsiveness and easiness-of-use will be demonstrated by playing a multi-player on-line BCI game EEG Tractor Beam at the Intelligent Environment Conference.
{"title":"Augmented Brain Computer Interaction Based on Fog Computing and Linked Data","authors":"J. Zao, T. Gan, Chun-Kai You, Sergio Jose Rodreguez Mendez, Cheng-En Chung, Yu-Te Wang, T. Mullen, T. Jung","doi":"10.1109/IE.2014.54","DOIUrl":"https://doi.org/10.1109/IE.2014.54","url":null,"abstract":"An augmented brain computer interface that can detect users' brain states in real-life situations has been developed using wireless EEG headsets, smart phones and ubiquitous computing services. This kind of wearable natural user interfaces will have a wide-range of potential applications in future smart environments. This paper describes its ubiquitous system architecture and introduces its enabling technologies, which include machine-to-machine publish/subscribe protocols, multi-tier fog/cloud computing infrastructure and a linked data web. Its real-time responsiveness and easiness-of-use will be demonstrated by playing a multi-player on-line BCI game EEG Tractor Beam at the Intelligent Environment Conference.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487708","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}
J. Alexandersson, Maria Aretoulaki, N. Campbell, Michael Gardner, Andrey Girenko, D. Klakow, Dimitris Koryzis, V. Petukhova, M. Specht, D. Spiliotopoulos, Alexander Stricker, N. Taatgen
This poster paper presents a high-level description of the Metalogue project that is developing a multi-modal dialogue system that is able to implement interactive behaviors that seem natural to users and is flexible enough to exploit the full potential of multimodal interaction. We provide an outline of the initial work undertaken to define a an open architecture for the integrated Metalogue system. This system includes components that are necessary for the implementation of the processing stages for a variety of application domains: initialization, training, information gathering, orchestration, multimodality, dialogue management, speech recognition, speech synthesis and user modelling.
{"title":"Metalogue: A Multiperspective Multimodal Dialogue System with Metacognitive Abilities for Highly Adaptive and Flexible Dialogue Management","authors":"J. Alexandersson, Maria Aretoulaki, N. Campbell, Michael Gardner, Andrey Girenko, D. Klakow, Dimitris Koryzis, V. Petukhova, M. Specht, D. Spiliotopoulos, Alexander Stricker, N. Taatgen","doi":"10.1109/IE.2014.67","DOIUrl":"https://doi.org/10.1109/IE.2014.67","url":null,"abstract":"This poster paper presents a high-level description of the Metalogue project that is developing a multi-modal dialogue system that is able to implement interactive behaviors that seem natural to users and is flexible enough to exploit the full potential of multimodal interaction. We provide an outline of the initial work undertaken to define a an open architecture for the integrated Metalogue system. This system includes components that are necessary for the implementation of the processing stages for a variety of application domains: initialization, training, information gathering, orchestration, multimodality, dialogue management, speech recognition, speech synthesis and user modelling.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115443991","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}
Asier Aztiria, E. Castillejo, Aitor Almeida, D. López-de-Ipiña
In the last few years, an ecosystem of devices and heterogeneous services has emerged with a huge variety of capacities and characteristics. These new devices, along with applications and services, must be used to enhance the quality of life, making the users daily activities easier, as well as increasing their personal autonomy. In this sense, there is a clear need for creating interfaces that adapt themselves taking into account characteristics of the user, context, application and device. One of the aspects to consider when adapting interfaces is the set of preferences of the user. When using different applications or devices, each user has different preferences, mainly related to their limitations. For that, we have developed a system that discovers users preferences related to different devices and applications. The system discovers set-up parameters, as well as normal performance parameters.
{"title":"Adapting User Interfaces Based on User Preferences and Habits","authors":"Asier Aztiria, E. Castillejo, Aitor Almeida, D. López-de-Ipiña","doi":"10.1109/IE.2014.9","DOIUrl":"https://doi.org/10.1109/IE.2014.9","url":null,"abstract":"In the last few years, an ecosystem of devices and heterogeneous services has emerged with a huge variety of capacities and characteristics. These new devices, along with applications and services, must be used to enhance the quality of life, making the users daily activities easier, as well as increasing their personal autonomy. In this sense, there is a clear need for creating interfaces that adapt themselves taking into account characteristics of the user, context, application and device. One of the aspects to consider when adapting interfaces is the set of preferences of the user. When using different applications or devices, each user has different preferences, mainly related to their limitations. For that, we have developed a system that discovers users preferences related to different devices and applications. The system discovers set-up parameters, as well as normal performance parameters.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121044116","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}
In order to make the intelligent virtual classroom distinguish out the rotation direction of the user's head, a method for head behavior detection based on optical flow is proposed in this paper. Firstly, we select the key feature points of user's facial area. Then we calculate the user's head movement parameter through the data of feature points which have been recorded. Secondly, a kind of head direction sensing model has been provided for detecting the head identified parameters. Finally, according to the interaction mechanism of the interaction scenario, intelligent virtual classroom will respond to the user's head movement based on the result of the head direction judgment. By online tests, the results show that the method is of high recognition rate and quick real-time.
{"title":"Head Behavior Detection Method Based on Optical Flow Theory","authors":"Hui Shao, Qijie Zhao, Dawei Tu","doi":"10.1109/IE.2014.22","DOIUrl":"https://doi.org/10.1109/IE.2014.22","url":null,"abstract":"In order to make the intelligent virtual classroom distinguish out the rotation direction of the user's head, a method for head behavior detection based on optical flow is proposed in this paper. Firstly, we select the key feature points of user's facial area. Then we calculate the user's head movement parameter through the data of feature points which have been recorded. Secondly, a kind of head direction sensing model has been provided for detecting the head identified parameters. Finally, according to the interaction mechanism of the interaction scenario, intelligent virtual classroom will respond to the user's head movement based on the result of the head direction judgment. By online tests, the results show that the method is of high recognition rate and quick real-time.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125726968","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}
Frank Krüger, Martin Kasparick, T. Mundt, T. Kirste
Imagine an office environment equipped with infrared presence sensors for light control as modern buildings offer. Several persons might be moving in this environment independently from each other. Potential questions arising here are: Which rooms are occupied?", "How many persons are in room 123?", or "Where is John?". In this paper we present an information fusion approach based on causal models. Prior knowledge is used to solve the simultaneous identification and multi target tracking problem. Based on an experimental setting, we show that the proposed approach enables tracking up to five persons. Furthermore, we discuss potential applications in the domain of fire service or monitoring of elderly people.
{"title":"Where are My Colleagues and Why? Tracking Multiple Persons in Indoor Environments","authors":"Frank Krüger, Martin Kasparick, T. Mundt, T. Kirste","doi":"10.1109/IE.2014.35","DOIUrl":"https://doi.org/10.1109/IE.2014.35","url":null,"abstract":"Imagine an office environment equipped with infrared presence sensors for light control as modern buildings offer. Several persons might be moving in this environment independently from each other. Potential questions arising here are: Which rooms are occupied?\", \"How many persons are in room 123?\", or \"Where is John?\". In this paper we present an information fusion approach based on causal models. Prior knowledge is used to solve the simultaneous identification and multi target tracking problem. Based on an experimental setting, we show that the proposed approach enables tracking up to five persons. Furthermore, we discuss potential applications in the domain of fire service or monitoring of elderly people.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125845690","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}
J. Salinas, V. Zamudio, M. A. Casillas, Rosario Baltazar, Carlos Lino Ramírez, V. Callaghan, F. Doctor
In recent years, the problem of cyclic instability has been investigated mainly using two approaches: analysing the topological properties of the system (finding loops or feedback) and bio-inspired optimization. One of the main disadvantages of analysing the topology of the system (i.e. The connectivity of the agents involved in the environment) is the computational cost (that could be increased if the environment includes nomadic agents). Optimization-based approaches have been proven to work very well, even in the case of nomadic agents. However, the optimisation approach has been deployed mainly using computer simulations. With the breakthrough of integrated circuits, allowing a wide variety of low cost microcontrollers, the possibility of implementing intelligent algorithms (such as fuzzy logic, neural networks, etc.) on embedded agents is a reality. In this paper, we present a preliminary analysis toward the implementation of bio-inspired optimisation algorithms on embedded systems. Our long-term goal is to be able to prevent cyclic instability in real and complex rule based multi-agent environments using optimisation algorithms on embedded system.
{"title":"Towards the Minimization of Cyclic Instability Using Embedded Algorithms","authors":"J. Salinas, V. Zamudio, M. A. Casillas, Rosario Baltazar, Carlos Lino Ramírez, V. Callaghan, F. Doctor","doi":"10.1109/IE.2014.46","DOIUrl":"https://doi.org/10.1109/IE.2014.46","url":null,"abstract":"In recent years, the problem of cyclic instability has been investigated mainly using two approaches: analysing the topological properties of the system (finding loops or feedback) and bio-inspired optimization. One of the main disadvantages of analysing the topology of the system (i.e. The connectivity of the agents involved in the environment) is the computational cost (that could be increased if the environment includes nomadic agents). Optimization-based approaches have been proven to work very well, even in the case of nomadic agents. However, the optimisation approach has been deployed mainly using computer simulations. With the breakthrough of integrated circuits, allowing a wide variety of low cost microcontrollers, the possibility of implementing intelligent algorithms (such as fuzzy logic, neural networks, etc.) on embedded agents is a reality. In this paper, we present a preliminary analysis toward the implementation of bio-inspired optimisation algorithms on embedded systems. Our long-term goal is to be able to prevent cyclic instability in real and complex rule based multi-agent environments using optimisation algorithms on embedded system.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128519199","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}
Cloud computing technology provides a convenient way for the distribution and application of educational resource, which becomes the hotspot of ICT in education. Based on in-depth study of standards in cloud computing and E-Learning, the paper analyzes the requirement, key techniques and actual application of cloud computing education, constructs a standard architecture, elaborates the relationship between different standards in this architecture.
{"title":"Research on Constructing the Standard Architecture of Educational Cloud Computing","authors":"Di Wu, Xian Peng","doi":"10.1109/IE.2014.71","DOIUrl":"https://doi.org/10.1109/IE.2014.71","url":null,"abstract":"Cloud computing technology provides a convenient way for the distribution and application of educational resource, which becomes the hotspot of ICT in education. Based on in-depth study of standards in cloud computing and E-Learning, the paper analyzes the requirement, key techniques and actual application of cloud computing education, constructs a standard architecture, elaborates the relationship between different standards in this architecture.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127409269","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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