Publikationen


Suche nach „[Sebastian] [Wilhelm]“ hat 14 Publikationen gefunden
Suchergebnis als PDF
    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm

    Exploiting Home Infrastructure Data for the good: Emergency Detection by reusing existing Data Sources

    [Accepted for publication]

    Advances in Intelligent Systems and Computing

    2021

    Abstract anzeigen

    Monitoring people within their residence can enable elderly to live a self-determined life in their own home environment for a longer period of time. Therefore commonly activity profiles of the residents are created using various sensors in the house. Deviations from the typical activity profile may indicate an emergency situation. An alternative approach for monitoring people within their residence we investigates within our research is reusing existing data sources instead of installing additional sensors. In private households there are already numerous data sources such as smart meters weather station routers or voice assistants available. Intelligent algorithms can be used to evaluate this data and conclude on personal activities. This in turn allows the creation of activity profiles of the residents without using external sensor technology.This work outlines the research gap in reusing existing data sources for Human Activity Recognition (HAR) and emergency detection which we intend to fill with our further work.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm

    Activity-Monitoring in Private Households for Emergency Detection: A Survey of Common Methods and Existing Disaggregable Data Sources

    [Accepted for publication]

    Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies

    2021

    Abstract anzeigen

    Ambient-Assisted Living (AAL) technologies can enable the elderly people to live a self-determined life in their own home environment instead of hospitals and retirement homes for a longer period of time. Hence AAL systems are not only used for everyday support but also for the detection of potential emergency situ- ations and for triggering notification chains. For this purpose the people are usually continuously monitored within their residents by ambient or wearable sensors to detect deviations in their daily behavior.This work surveys common used technologies for Human Activity Recognition (HAR) / Human Presence De- tection (HPD) which is the basis for emergency detection. Furthermore by examining various home automa- tion software existing data sources from the residential infrastructure are identified that would be suitable for detecting personal activities.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Jakob Kasbauer, Diane Ahrens

    GeLaP: German Labeled Dataset for Power Consumption

    [Accepted for publication]

    Proceedings of the 6th International Congress on Information and Communication Technology

    2021

    Abstract anzeigen

    Due to the increasing spread of smart meters numerous researchers are currently working on disaggregating the power consumption data. This procedure is commonly known as Non-Intrusive Load Monitoring (NILM). However most approaches to energy disaggregation first require a labeled dataset to train these algorithms.In this paper we present a new labeled power consumption dataset that was collected in 20 private households in Germany between September 2019 and July 2020. For this purpose the total power consumption of each household was measured with a commercial available smart meter and the individual consumption data of 10 selected household appliances were collected.

    DigitalTC Grafenau

    Buch (Monographie)

    S. Sczogiel, A. Busch, A. Göller, A. Gabber, B. Williger, S. Schmitt-Rüth, Diane Ahrens, Dietmar Jakob, Sebastian Wilhelm

    Digital fit im Alter

    Handlungsempfehlung für Gemeinden zu Bildungsangeboten für Senioren (Hg.: Fraunhofer-Institut für Integrierte Schaltungen [IIS]; Technische Hochschule Deggendorf [THD])

    2020

    DOI: 10.13140/RG.2.2.23245.05609

    Abstract anzeigen

    Ziel der Broschüre ist es, Gemeinden insbesondere im ländlichen Raum, über die Konzeption von Bildungsangeboten für ältere Menschen zu informieren und sie dazu zu befähigen, ähnliche Initiativen in ihren Gemeinden zu starten.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Sebastian Wilhelm

    Activity Monitoring reusing Home Infrastructure Data

    Digital French-German Summer School with Industry 2020

    2020

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Diane Ahrens

    Human Presence Detection by monitoring the indoor CO2 concentration

    Tagungsband zur Konferenz Mensch und Computer 2020 (06.-09.09.2020; Magdeburg)

    2020

    DOI: 10.1145/3404983.3409991

    Abstract anzeigen

    Presence detection systems are becoming more and more important and are used in smart home environments in the Ambient Assisted Living (AAL) domain or in surveillance technology. Common systems focus on using motion sensors or cameras which have only a limited viewing angle and therefore monitoring gaps can easily occur within a room. Humans produce carbon dioxide (CO2) through their respiration which is distributed in rooms. As a result if one (or more) persons are in a room a significant increase in CO2 concentration in the room can be noted. With this work we investigate an approach to detect the presence or absence of people indoors by monitoring the CO2 concentration in the ambient air.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Jakob Kasbauer, M. Dietmeier

    Organizational, Technical, Ethical and Legal Requirements of Capturing Household Electricity Data for Use as an AAL System

    Proceedings of the Fifth International Congress on Information and Communication Technology (ICPCCI 2019) [20-21 February 2020; London, UK]

    2020

    DOI: 10.1007/978-981-15-5856-6_38

    Abstract anzeigen

    Due to demographic change elderly care is one of the major challenges for society in near future fostering new services to support and enhance the life quality of the elderly generation. A particular aspect is the desire to live in one’s homes instead of hospitals and retirement homes as long as possible. Therefore it is essential to monitor the health status i.e. the activity of the individual. In our data-driven society data is collected at an increasing rate enabling personalized services for our daily life using machine-learning and data mining technologies. However the lack of labeled datasets from a realistic environment hampers research for training and evaluating algorithms. In the project BLADL we use data mining technologies to gauge the health status of elderly people. Within this work we discuss the challenges and caveats both from a technical and ethical perspectives to create such a dataset.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Dietmar Jakob, Sebastian Wilhelm

    Amazon Echo: A Benchmarking Model Review

    Proceedings of the 14th International Conference on Interfaces and Human Computer Interaction (23-25 July 2020; Zagreb, Croatia)

    2020

    Abstract anzeigen

    Smart speakers are becoming increasingly popular. The market leader for smart speakers are the products of the Echo family from Amazon. There are currently 9 different models with different technical specifications available in Germany. With this paper, the models was benchmarked against each other in terms of (i) speech recognition reliability, (ii) output sound pressure and (iii) power consumption in a laboratory experiment. Previous works in this area has only considered individual models of the product family. Significant differences in speech recognition accuracy, output sound pressure and power consumption were identified between the models. In general it was observed, that the Echo Show 8 model was the most efficient in terms of the above criterias.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Dietmar Jakob, Sebastian Wilhelm, A. Gerl

    Data Privacy Management (DPM) - A Private Household Smart Metering Use Case

    Workshopband 6. Usable Security und Privacy Workshop im Rahmen der Konferenz Mensch und Computer 2020 (06.-09.09.2020; Magdeburg)

    2020

    DOI: 10.18420/muc2020-ws119-003

    Abstract anzeigen

    The automated collection of real life data in private households places special requirements on a Data Privacy Management (DPM) concept. The development and implementation of a DPM concept for use in a scientific environment is demonstrated according to a successful use case – the project BLADL. The intention of this paper is to provide a guideline for ethical and privacy-preserving data collection and management in research projects in the EU. 

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, M. Dietmeier

    Development of a senior-friendly training concept for imparting media literacy

    INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, Bonn

    2019

    DOI: 10.18420/inf2019_83

    Abstract anzeigen

    The use of digital solutions to support rural areas, and in particular elderly people, is the goal of the ‘Digitales Dorf’ and ‘BLADL’ research projects. This work assessed seniors’ media literacy in two model communities; with the result that fear of fraudster and lack of knowledge are the most common causes that prevent elderly people from using digital technologies. Based on these evaluation results, a combined training offer of tutorial and digital consultation hour was developed and evaluated.

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob

    Digital support for managing Organized Neighborhood Assistance

    Applied Research Conference (ARC) 2019

    2019

    Abstract anzeigen

    In the context of demographic change and an aging society, neighborhood help is playing an increasingly important role in our society. Within this work a framework for developing a digital platform to manage an Organized Neighborhood Assistance is developed. A special focus lies on analyzing the functional, technical and legal requirements.

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, A. Gerl

    Policy-based Authentication and Authorization based on the Layered Privacy Language

    Workshopband zur 18. Fachtagung "Datenbanksysteme für Business, Technologie und Web"

    2019

    DOI: 10.18420/btw2019-ws-25

    Abstract anzeigen

    In 2018 the General Data Protection Regulation (GDPR) has been enforced providing a new legal framework with rules and regulations for processing personal data. The requirement for distinguishing between purposes has been introduced, leading to the necessity of adapting existing authentication and authorization processes. We introduce a detailed authentication and authorization extension, which is able to verify requests on personal data based on the Layered Privacy Language (LPL). This extension is evaluated in the form of a benchmark, utilizing the Policy-based De-identification, to demonstrating its efficiency and suitability for data-warehouses.

    DigitalTC Grafenau

    Vortrag

    Sebastian Wilhelm

    Activity Monitoring reusing Home Infrastructure Data

    IRIXYS - Young Scientists’ Workshop, Online

    DigitalTC Grafenau

    Vortrag

    Dietmar Jakob, Sebastian Wilhelm

    Prozessablauf von automatisierten Datenerhebungen in privaten Haushalten – Erfahrungsbericht

    Data2Day 2020 - Konferenz für Big Data, Data Science und Machine Learning, Heidelberg (online)

    Abstract anzeigen

    Smarte Technologien erzeugen Datenströme, die unter anderem für personalisierte Mehrwertdienste genutzt werden können. Zur Entwicklung entsprechender Dienste und intelligenter Algorithmen ist es häufig notwendig, gelabelte Rohdaten zu sammeln.  Dabei sind neben den technischen Herausforderungen auch Datenschutzbestimmungen und ethische Fragestellungen zu berücksichtigen.  In unserem Vortrag präsentieren wir einen Erfahrungsbericht über die Erhebung von Stromverbrauchsdaten in 20 privaten Haushalten, beginnend bei der Auswahl der Testhaushalte, der Sicherstellung einer informierten Zustimmung, die Installation der technischen Komponenten bis zur Anonymisierung und Veröffentlichung der Daten.