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TH Brandenburg, Germany

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9 Papers

A Low-cost Life Sign Detection Method based on Time Series Analysis of Facial Feature Points

Topics: Biometrics; Pattern Recognition; Medical Signal Acquisition, Analysis and Processing; Image Analysis and Processing; Detection and Identification

Authors: Timon Bloecher ¹ , Leyre Garralda Iriarte ² , Johannes Schneider ¹ , Christoph Zimmermann ¹ and Wilhelm Stork ¹

Affiliations: ¹ FZI Forschungszentrum Informatik, Germany , ² Public University of Navarre, Spain

Digital Object Identifier: 10.5220/0006141601470154

Proceedings of BIOSIGNALS 2017/BIOSTEC, ISBN: 978-989-758-212-7

Quick Abstract

The use of image based presentation attack detection (PAD) systems has experienced an enormous growth of interest in recent years. The most accurate techniques in literature addressing this topic rely on the verification of the actual three-dimensionality of the face, which increases complexity and costs of the system. In this work, we propose an effective and low-cost face spoofing detector system to supplement a PPGI-based vital signal monitoring application. Starting from a set of automatically located facial feature points, the movement information of this set of points was obtained. Based on a time series analysis of the landmark position distances using peak descriptors and cross-correlation coefficients as classifiers in a sliding window, life signs have been exploited to develop a system being able to recognize false detections and biometric spoofs. To verify the performance, experiments on three different benchmark datasets (CASIA face anti-spoofing, MSU and IDIAP Replay-Attack databases) were made. The evaluation of the proposed low-cost approach showed good results (accuracy of ~85-95%) compared to more resource-intensive state-of-the-art methods.

Related Ontology Subjects/Areas/Topics (23)

Applications	Data Manipulation	Neurocomputing
Applications and Services	Detection and Identification	Neurotechnology, Electronics and Informatics
Artificial Intelligence	Health Engineering and Technology Applications	Pattern Recognition
Biomedical Engineering	Human-Computer Interaction	Physiological Computing Systems
Biomedical Signal Processing	Medical Image Detection, Acquisition, Analysis and Processing	Sensor Networks
Biometrics	Methodologies and Methods	Soft Computing
Biometrics and Pattern Recognition	Multimedia	Telecommunications
Computer Vision, Visualization and Computer Graphics	Multimedia Signal Processing

INCIDENT AND PROBLEM MANAGEMENT USING A SEMANTIC WIKI-ENABLED ITSM PLATFORM

Topics: Semantic Web; Ontologies

Authors: Frank Kleiner ¹ , Andreas Abecker ² and Marco Mauritczat ³

Affiliations: ¹ FZI Forschungszentrum Informatik, Germany , ² Disy Informationssysteme GmbH, Germany , ³ Infomotion GmbH, Germany

Digital Object Identifier: 10.5220/0003751303630372

Proceedings of ICAART 2012, ISBN: 978-989-8425-95-9

Quick Abstract

IT Service Management (ITSM) is concerned with providing IT services to customers. In order to improve the provision of services, ITSM frameworks (e.g., ITIL) mandate the storage of all IT-relevant information in a central Configuration Management System (CMS). This paper describes our Semantic Incident and Problem Analyzer, which builds on a SemanticWiki-based Configuration Management System. The Semantic Incident and Problem Analyzer assists IT-support personnel in tracking down the causes of incidents and problems in complex IT landscapes. It covers two use cases: (1) by analyzing the similarities between two or more system configurations with problems, it suggests possible locations of the problem; (2) by analyzing changes over time of a component with a problem, possible configuration changes are reported which might have led to the problem.

Related Ontology Subjects/Areas/Topics (14)

Artificial Intelligence	Enterprise Ontologies	Semantic Web
Collaboration and e-Services	Formal Methods	Simulation and Modeling
e-Business	Knowledge Engineering and Ontology Development	Soft Computing
Enterprise Engineering	Knowledge-Based Systems	Symbolic Systems
Enterprise Information Systems	Ontologies

COMPARING DRY ELECTRODE MATERIALS FOR LONG-TERM ECG MONITORING - Evaluation of a New Method

Topics: Medical Signal Acquisition, Analysis and Processing; Wearable Sensors and Systems; Monitoring and Telemetry; Cardiovascular Signals

Authors: Silvester Fuhrhop ¹ , Stefan Lamparth ¹ , Tobias Seemann ¹ , Wilhelm Stork ¹ , Stephan Heuer ² and Malte Kirst ²

Affiliations: ¹ KIT - Institute for Information Processing Technology, Germany , ² FZI Research Center for Information Technology, Germany

Digital Object Identifier: 10.5220/0003165104850488

Proceedings of BIOSIGNALS 2011/BIOSTEC, ISBN: 978-989-8425-35-5

Quick Abstract

Studies prove, that ECG monitoring over longer periods of time can significantly improve the diagnosis of heart failure. Dry electrodes are a valuable alternative to conventional wet electrodes, if the monitoring period is longer than one week, because they are more stable and cause less skin irritations. One drawback however is the minor signal quality compared to wet electrodes. As there are different electrode materials for dry electrodes available, a qualitative comparison concerning signal quality is carried out in this work. The signal quality of well known dry-electrode-materials used in fitness-heart belts are compared with metal dry electrodes. All electrodes are assembled in an identical mechanical electrode-setup. A parcours-based field trial with 13 subjects is carried out in two stages. In order to estimate the reproducibility of the parcours, the first stage is used to benchmark the differences in signal quality of consecutive measurements not originating from the electrode material. In the second stage however, the actual measurement takes place. The accuracy of the method is presented and the comparison results are discussed.

Related Ontology Subjects/Areas/Topics (12)

Applications and Services	Computer Vision, Visualization and Computer Graphics	Medical Image Detection, Acquisition, Analysis and Processing
Biomedical Engineering	Devices	Monitoring and Telemetry
Biomedical Signal Processing	Health Information Systems	Physiological Computing Systems
Cardiovascular Signals	Human-Computer Interaction	Wearable Sensors and Systems

EVALUATING AND MODELING VIRTUALIZATION PERFORMANCE OVERHEAD FOR CLOUD ENVIRONMENTS

Topics: Monitoring of Services, Quality of Service, Service Level Agreements; Performance Development and Management; Virtualization Technologies

Authors: Nikolaus Huber ¹ , Marcel von Quast ¹ , Michael Hauck ² and Samuel Kounev ¹

Affiliations: ¹ Karlsruhe Institute of Technology, Germany , ² Forschungzentrum Informatik FZI, Germany

Digital Object Identifier: 10.5220/0003388905630573

Proceedings of CLOSER 2011, ISBN: 978-989-8425-52-2

Quick Abstract

Due to trends like Cloud Computing and Green IT, virtualization technologies are gaining increasing importance. They promise energy and cost savings by sharing physical resources, thus making resource usage more efficient. However, resource sharing and other factors have direct effects on system performance, which are not yet well-understood. Hence, performance prediction and performance management of services deployed in virtualized environments like public and private Clouds is a challenging task. Because of the large variety of virtualization solutions, a generic approach to predict the performance overhead of services running on virtualization platforms is highly desirable. In this paper, we present experimental results on two popular state-of-the-art virtualization platforms, Citrix XenServer 5.5 and VMware ESX 4.0, as representatives of the two major hypervisor architectures. Based on these results, we propose a basic, generic performance prediction model for the two different types of hypervisor architectures. The target is to predict the performance overhead for executing services on virtualized platforms.

Related Ontology Subjects/Areas/Topics (5)

Cloud Computing		Monitoring of Services, Quality of Service, Service Level Agreements		Virtualization Technologies
Cloud Computing Enabling Technology		Performance Development and Management

INCREASING RELIABILITY AND INFORMATION CONTENT OF PULSE OXIMETRIC SAHS SCREENING ALGORITHMS

Topics: Medical Signal Acquisition, Analysis and Processing; Wearable Sensors and Systems; Monitoring and Telemetry

Authors: Nicole Gross ¹ , Jennifer Friedmann ¹ , Christophe Kunze ¹ , Wilhelm Stork ¹ , Daniel Sánchez Morillo ² , Antonio Leon Jimenez ³ and Luis Felipe Crespo Foix ²

Affiliations: ¹ FZI Forschungszentrum Informatik, Germany , ² University of Cádiz, Spain , ³ University Hospital of Cádiz, Spain

Digital Object Identifier: 10.5220/0003156104380445

Proceedings of BIOSIGNALS 2011/BIOSTEC, ISBN: 978-989-8425-35-5

Quick Abstract

About 3% of people suffer from sleep apnea-hypopnea syndrome SAHS. SAHS is a sleep associated respiratory disorder that negatively affects life quality and life expectancy. It is assumed that more than 80% of SAHS concerned are neither diagnosed nor therapied. Reliable and easy-handling SAHS screening systems are needed. Within this study, the reliability of pulse oximeter as a well-established, non-invasive medical device is examined for SAHS screening. Reliability of existing SAHS screening algorithms will be assessed. Hereby, the focus is on the influence of different desaturation detection strategies and the dependence on thresholds. Critiques on pulse oximetry as SAHS screening device will be responded. In this regard, guideline conform grey area integration in SAHS screening (concerning apnea-hypopnea index AHI between 5 and 15) is recommended. In particular, as by grey area integration an improvement of convenient SAHS screening algorithm reliabilities of about 7.3% in sensitivity and 8.7 % in specificity was achieved even in the most reliable tested algorithm. In a final step, room for improvement of screening results interpretation even without sleep medicine expert skills is indicated. In connection to this, possibilities of short-term frequency analysis of SpO2 data are demonstrated in its prospects for individualized SAHS screening quality.

Related Ontology Subjects/Areas/Topics (11)

Applications and Services	Devices	Monitoring and Telemetry
Biomedical Engineering	Health Information Systems	Physiological Computing Systems
Biomedical Signal Processing	Human-Computer Interaction	Wearable Sensors and Systems
Computer Vision, Visualization and Computer Graphics	Medical Image Detection, Acquisition, Analysis and Processing

SIGNAL QUALITY ASSESSMENT FOR CAPACITIVE ECG MONITORING SYSTEMS USING BODY-SENSOR-IMPEDANCE

Topics: Medical Signal Acquisition, Analysis and Processing; Monitoring and Telemetry; Cardiovascular Signals

Authors: Stephan Heuer ¹ , Sebastian Chiriac ¹ , Malte Kirst ¹ , Adnene Gharbi ² and Wilhelm Stork ²

Affiliations: ¹ FZI Research Center for Information Technology, Germany , ² Karlsruhe Institute of Technology, Germany

Digital Object Identifier: 10.5220/0003160004540458

Proceedings of BIOSIGNALS 2011/BIOSTEC, ISBN: 978-989-8425-35-5

Quick Abstract

Contactless capacitive ECG measurement is an unobtrusive way of acquiring cardiovascular data. However, movement artifacts present a common problem with this technique. A means of assessing signal quality and confidence is therefore desirable. In this paper we present a capacitive ECG measurement system with an integrated module that constantly monitors the electrode-body-impedance. Moreover, we present a method to derive an artifact level signal from this electrode-body-impedance that can be used to estimate the signal quality of the capacitive ECG measurement. First results of measurements with this system are shown.

Related Ontology Subjects/Areas/Topics (7)

Applications and Services	Cardiovascular Signals	Medical Image Detection, Acquisition, Analysis and Processing
Biomedical Engineering	Computer Vision, Visualization and Computer Graphics	Monitoring and Telemetry
Biomedical Signal Processing

TEXTILE CAPACITIVE ELECTROCARDIOGRAPHY FOR AN AUTOMOTIVE ENVIRONMENT

Topics: Emerging Technologies; Health Monitoring Devices; Electrocardiography and Heart Monitoring

Authors: Bhavin Chamadiya ¹ , Stephan Heuer ² , Manfred Wagner ³ and Ulrich G. Hofmann ⁴

Affiliations: ¹ Research & Development and Daimler AG, Germany , ² FZI Forschungszentrum Informatik, Germany , ³ Research & Development, Daimler AG; Institute for Signal Processing and University of Lübeck, Germany , ⁴ Institute for Signal Processing and University of Lübeck, Germany

Digital Object Identifier: 10.5220/0003194504220425

Proceedings of BIODEVICES 2011/BIOSTEC, ISBN: 978-989-8425-37-9

Quick Abstract

Growing mobility demand in the western world intensifies the concern for automotive safety and health monitoring in daily life. This study shows one solution to integrate textile based, capacitively coupled electrocardiography into a car considering a real automotive environment. Electrodes based on conductive textile were integrated into a car seat. Contact ECG and non-contact CCECG measurements were done in different situations like driving high speed on highways, on surface streets, with various clothes and others. The influences of various car functionalities on the measurement were detected. Feasibility to measure Electrocardiography is discussed to evaluate continuous non-contact monitoring for safety, healthcare and comfort as well.

Related Ontology Subjects/Areas/Topics (11)

Biomedical Engineering	Emerging Technologies	Telecommunications
Biomedical Instruments and Devices	Health Monitoring Devices	Wireless and Mobile Technologies
Devices	Human-Computer Interaction	Wireless Information Networks and Systems
Electrocardiography and Heart Monitoring	Physiological Computing Systems

TOWARDS PERFORMANCE PREDICTION FOR CLOUD COMPUTING ENVIRONMENTS BASED ON GOAL-ORIENTED MEASUREMENTS

Topics: Monitoring of Services, Quality of Service, Service Level Agreements; Cloud Applications Performance and Monitoring; Development Methods for Cloud Applications; Performance Development and Management; Virtualization Technologies

Authors: Michael Hauck ¹ , Jens Happe ² and Ralf Reussner ³

Affiliations: ¹ FZI Research Center for Information Technology, Germany , ² SAP Research, Germany , ³ Karlsruhe Institute of Technology (KIT), Germany

Digital Object Identifier: 10.5220/0003387406160622

Proceedings of CLOSER 2011, ISBN: 978-989-8425-52-2

Quick Abstract

Scalability and performance are critical quality attributes of applications developed for the cloud. Many of these applications have to support hundreds or thousands of concurrent users with strongly fluctuating workloads. Existing approaches for software performance evaluation do not address the new challenges that arise for applications executed in cloud computing environments. The effects of virtualization on response times, throughput, and resource utilisation as well as the massive number of resources available require new platform and resource models for software performance evaluation. Modelling cloud environments using established approaches for software performance prediction is a cumbersome task that requires a detailed understanding of virtualization techniques and their effect on software performance. Additional complexity comes from the fact that cloud environments may combine multiple virtualization platforms which differ in implementation and performance properties. In this position paper, we propose an approach to infer performance models of cloud computing environments automatically through goal-oriented measurements. The resulting performance models can be directly combined with established model-driven performance prediction approaches. We outline the research challenges that have to be addressed in order to employ the approach for design-time performance predictions of software systems running in cloud computing environments.

Related Ontology Subjects/Areas/Topics (8)

Cloud Applications Performance and Monitoring	Development Methods for Cloud Applications	Platforms and Applications
Cloud Computing	Monitoring of Services, Quality of Service, Service Level Agreements	Virtualization Technologies
Cloud Computing Enabling Technology	Performance Development and Management

WBAN BASED PROTOTYPE FOR ACTIVE BODY CLIMATE CONTROL BASED ON ENVIRONMENTAL AND INDIVIDUAL SENSOR DATA

Topics: Medical Signal Acquisition, Analysis and Processing; Wearable Sensors and Systems

Authors: A. Gharbi ¹ , M. Breuel ¹ , W. Darmoul ¹ , W. Stork ¹ , K. D. Mueller-Glaser ¹ , S. Heuer ² and S. Haertel ¹

Affiliations: ¹ Karlsruhe Institute of Technology (KIT), Germany , ² FZI (Research Center for Information Technology), Germany

Digital Object Identifier: 10.5220/0003168202760284

Proceedings of BIOSIGNALS 2011/BIOSTEC, ISBN: 978-989-8425-35-5

Quick Abstract

In this paper, a new textile integrated WBAN based prototype for active body climate control is presented. The design of this prototype resulted from a previous evaluation system, which has been tested in a field study. In addition, new algorithms for determining the metabolic activity from measured vital parameters (heart rate and activity) and thus controlling the cooling mechanism by setting the necessary ventilation airflow have been conceived. A field study involving nine test persons has been conducted in order to test the new prototype and validate the conceived algorithms.

Related Ontology Subjects/Areas/Topics (10)

Applications and Services	Devices	Medical Image Detection, Acquisition, Analysis and Processing
Biomedical Engineering	Health Information Systems	Physiological Computing Systems
Biomedical Signal Processing	Human-Computer Interaction	Wearable Sensors and Systems
Computer Vision, Visualization and Computer Graphics

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