@inproceedings{AltenbuchnerMueckeHaug, author = {Altenbuchner, Amelie and M{\"u}cke, Vanessa and Haug, Sonja}, title = {Comparing monitoring results of two motion trackers for geriatric patients}, series = {dHealth 2020: biomedical informatics for health and care, proceedings of the 14th Health Informatics Meets Digital Health Conference}, booktitle = {dHealth 2020: biomedical informatics for health and care, proceedings of the 14th Health Informatics Meets Digital Health Conference}, editor = {Schreier, G{\"u}nter}, publisher = {IOS Press}, address = {Amsterdam}, isbn = {978-1-64368-085-9}, doi = {10.3233/SHTI200078}, pages = {77 -- 84}, abstract = {Background: Fitbit and Garmin motion tracker devices are highly used in research. The validity and reliability of these devices is proven for healthy adults between 18 and 64. Objectives: Comparing data output of two devices. Methods: Observational case study on a test track and in the domestic environment of a 80- year-old female multimorbide geriatric patient. Results: High significant correlation of the devices on the test track [r=.776, p≤.001, Bca-CI-95\% (.618;.874), N=33], but significant different in the domestic environment over time (z=4.840, p≤.001). Conclusion: The dominant/non-dominant body side and further sources of error may play a role in monitoring steps with these devices.}, language = {en} } @techreport{BhardwajHauerMueckeetal., type = {Working Paper}, author = {Bhardwaj, Prakhar and Hauer, Franziska and M{\"u}cke, Vanessa and Dotter, Caroline and Haug, Sonja and Weikl, Simone and Weber, Karsten}, title = {Recording and understanding multi- and intermodal mobility - a review}, address = {Regensburg}, doi = {10.35096/othr/pub-8742}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-87427}, pages = {25}, abstract = {The transition to sustainable mobility requires detailed knowledge of actual mobility behavior. Recording mobility behavior through conventional, aggregated, or retrospective survey methods (e.g., counting stations, travel diaries) may yield incomplete insights. In addition, these methods are often expensive, prone to error, or not scalable. The aim of this literature review is to provide a systematic overview of the current state of the literature on recording and analysis of individual mobility data and, based on this, to identify possible research gaps and potential. The exploratory literature review includes social science surveys on multi- and intermodal mobility behavior, as well as an overview of possible ways to analyze travel data. The focus of the latter is on identifying relevant data sources and methodological approaches for segmentation, identification of transport mode, and trip purpose determination. Results from recent studies show that sensor-based data collection alone is not sufficient to fully and accurately map mobility behavior. One possible solution is a "best-of-both-worlds" approach that combines passive, automatic mobility data collection via smartphone sensors with targeted user corrections and additions ("human-in-the-loop") within an app. The literature review shows that this approach yields the best data quality. Combining mobility surveys with passive collection of mobility data provides a comprehensive, accurate, and complete overview of mobility behavior.}, language = {en} } @techreport{BhardwajHauerMueckeetal., type = {Working Paper}, author = {Bhardwaj, Prakhar and Hauer, Franziska and M{\"u}cke, Vanessa and Dotter, Caroline and Haug, Sonja and Weikl, Simone and Weber, Karsten}, title = {Multi- und intermodale Mobilit{\"a}t erfassen und verstehen - eine Literatur{\"u}bersicht}, address = {Regensburg}, doi = {10.35096/othr/pub-8741}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-87415}, pages = {24}, abstract = {Die Transformation zu nachhaltiger Mobilit{\"a}t erfordert eine detaillierte Erfassung des tats{\"a}chlichen Mobilit{\"a}tsverhaltens, was durch herk{\"o}mmliche, aggregierte oder retrospektive Erhebungsmethoden (z.B. Z{\"a}hlstellen, Wegetageb{\"u}cher) nicht vollst{\"a}ndig gelingt. Zudem sind diese Methoden oft teuer, fehleranf{\"a}llig oder nicht nachhaltig skalierbar. Ziel dieser Literatur{\"u}bersicht ist es, einen systematischen {\"U}berblick {\"u}ber den aktuellen Forschungsstand zur Erhebung und Analyse individueller Mobilit{\"a}tsdaten zu geben und darauf aufbauend m{\"o}gliche Forschungsl{\"u}cken sowie Potentiale zu identifizieren. Die explorative Literaturrecherche umfasst sozialwissenschaftliche Erhebungen zu multi- und intermodalem Mobilit{\"a}tsverhalten, sowie einen {\"U}berblick {\"u}ber Analysem{\"o}glichkeiten von Wegedaten. Der Fokus liegt auf der Identifikation relevanter Datenquellen und methodischer Ans{\"a}tze zur Segmentierung, Verkehrsmittelerkennung und Wegezweckbestimmung. Ergebnisse aus aktuellen Studien verdeutlichen, dass ausschließlich sensorgest{\"u}tzte Datenerhebungen bisher nicht ausreichen, um Mobilit{\"a}tsverhalten vollumf{\"a}nglich und pr{\"a}zise abzubilden. Eine m{\"o}gliche L{\"o}sung ist ein "Best-of-both-worlds-Ansatz, der die passive, automatische Mobilit{\"a}tsdatenerfassung via Smartphone-Sensorik mit gezielten Nutzerkorrekturen und Erg{\"a}nzungen ("Human-in-the-Loop") innerhalb einer App kombiniert. Die Literaturauswertung zeigt, dass auf diesem Weg die beste Datenqualit{\"a}t gewonnen werden kann. Durch die Kombination von Mobilit{\"a}tsbefragung mit passiver Erhebung von Mobilit{\"a}tsdaten kann ein umfassender, m{\"o}glichst vollst{\"a}ndiger und korrekter {\"U}berblick {\"u}ber das Mobilit{\"a}tsverhalten gewonnen werden.}, language = {de} } @misc{HaugLauerMeusslingSentpalietal., author = {Haug, Sonja and Lauer, Norina and Meussling-Sentpali, Annette and Mohr, Christa and Pfingsten, Andrea and Raptis, Georgios and Weber, Karsten and Bahr, Gudrun and Currle, Edda and Ettl, Katrin and Frommeld, Debora and Greiner, Nina and Kudienko, Natalie and Lichtenauer, Norbert and Middel, Luise and M{\"u}cke, Vanessa and Popp, Christof}, title = {TePUS - Telepr{\"a}senzroboter f{\"u}r die Pflege}, series = {TRIOKON 2020 : Wissenschaft, Wirtschaft, Gesellschaft in Ostbayern, 29.09.2019, Landshut}, journal = {TRIOKON 2020 : Wissenschaft, Wirtschaft, Gesellschaft in Ostbayern, 29.09.2019, Landshut}, language = {de} } @misc{HaugLauerMeusslingSentpalietal., author = {Haug, Sonja and Lauer, Norina and Meussling-Sentpali, Annette and Mohr, Christa and Pfingsten, Andrea and Raptis, Georgios and Weber, Karsten and Bahr, Gudrun and Currle, Edda and Ettl, Katrin and Frommeld, Debora and Greiner, Nina and Kudienko, Natalie and Lichtenauer, Norbert and Middel, Luise and M{\"u}cke, Vanessa and Popp, Christof}, title = {Telepr{\"a}senzroboter f{\"u}r die Pflege und Unterst{\"u}tzung von Schlaganfallpatinnen und -patienten (TePUS)}, series = {Virtuelle Tagung "DeinHaus 4.0 Oberpfalz", 2020, Ostbayerische Technische Hochschule Regensburg}, journal = {Virtuelle Tagung "DeinHaus 4.0 Oberpfalz", 2020, Ostbayerische Technische Hochschule Regensburg}, language = {de} }