Ubiquitous deployment configuration of indoor location services

García-Valverde, Teresa; García-Sola, Alberto; Botía, Juan A.; Gómez‐Skarmeta, Antonio F.

doi:10.1109/ijcnn.2012.6252445

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…These devices have computational capabilities to sense the environment, process the acquired data, coordinate and communicate to users the needed information in a current situation, [18], [20]. The interaction is intended to be smooth and in natural manner that the user feels not commanding the ambient system but communicating with agents.…”

Section: B Ubiquitous Computing: Pervasive Computimg and Active Infomentioning

confidence: 99%

Design and implementation of a pervasive occupancy displaying system in an academic environment

Romanowski

Chaniecki

Grudzień

et al. 2013

13th International Conference on Hybrid Intelligent Systems (HIS 2013)

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This paper describes the design of a system providing room occupancy information in a university campus.The system and its possible influence on the human environment are designed to enhance the work environment through pervasive information delivery. The work is motivated by recent advances in the domain of ubiquitous computing.The authors describe a case study of delivering a solution to university students informing them where they can find free spaces in rooms designated for quiet study. The data is available on the web and through ambient displays. The proof of-concept study presents the methodology applied, discusses the design issues that were encountered by the project team and reflects on the devices and techniques used in the implementation. An application of standard image processing techniques to provide a contextualized, pervasive user-centered service is also depicted.

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Section: B Ubiquitous Computing: Pervasive Computimg and Active Infomentioning

confidence: 99%

Design and implementation of a pervasive occupancy displaying system in an academic environment

Romanowski

Chaniecki

Grudzień

et al. 2013

13th International Conference on Hybrid Intelligent Systems (HIS 2013)

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“…Common methods to search for an global optima of HMM parameters involves a range of parametric evolutionary algorithms, inclusive of (MO) genetic algorithms [6,7], particle swarm optimisation [8], etc. However, these methods cannot fundamentally solve the problem when the input space is large.…”

Section: Introductionmentioning

confidence: 99%

Learning from Life-Logging Data by Hybrid HMM: A Case Study on Active States Prediction

Lambrou

2016

Biomedical Engineering

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In this paper, we have proposed employing a hybrid classifier-hidden Markov model (HMM) as a supervised learning approach to recognize daily active states from sequential life-logging data collected from wearable sensors. We generate synthetic data from real dataset to cope with noise and incompleteness for training purpose and, in conjunction with HMM, propose using a multiobjective genetic programming (MOGP) classifier in comparison of the support vector machine (SVM) with variant kernels. We demonstrate that the system with either algorithm works effectively to recognize personal active states regarding medical reference. We also illustrate that MOGP yields generally better results than SVM without requiring an ad hoc kernel.

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Ubiquitous deployment configuration of indoor location services

Cited by 2 publications

References 14 publications

Design and implementation of a pervasive occupancy displaying system in an academic environment

Design and implementation of a pervasive occupancy displaying system in an academic environment

Learning from Life-Logging Data by Hybrid HMM: A Case Study on Active States Prediction

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