Andreas Seiderer M.Sc.

Wissenschaftlicher Mitarbeiter
Lehrstuhl für Multimodale Mensch-Technik Interaktion
Telefon: +49 821 598 - 2368
E-Mail:
Raum: 2042 (N)
Sprechzeiten: nach Vereinbarung
Adresse: Universitätsstraße 6a, 86159 Augsburg

Themengebiete

  • Human wellbeing
  • Context-aware systems
  • Human Computer Interaction
  • Machine learning
  • Realtime continuous / discrete signal processing
  • Smart Home
  • IoT
  • Physical computing
  • Mobile / embedded systems

Projekte

  • BMBF CARE Project (2014-    2016)

CARE Website

 

 

  • Internal: Lange Nacht der Wissenschaft 2018

 

Software

Lehre

Betreute Lehrveranstaltungen

 

  • Bachelor
    • Praxismodul Human-Centered Multimedia
      • WiSe 2015/16: Hierarchische Audioaktivitätserkennung mit SSI
    • Multimediaprojekt
      • WiSe 2017/18, 2018/19
    • Multimedia Grundlagen 2
      • SoSe 2019
  • Master
    • Seminar
      • SoSe 2015 (Opportunistic Human Activity and Context Recognition)
    • Multimedia I: Usability Engineering
      • WiSe 2015/16, 2016/17, 2017/18
    • Multimodale Echtzeitsignalverarbeitung
      • SoSe 2016, 2017, 2018
    • Praktikum Usability Engineering
      • SoSe 2014, 2015, 2016, 2017
    • Projektmodul Human-Centered Multimedia
      • SoSe 2015: Integration von Filtern / Features für Biosignalanalyse in SSI
      • SoSe 2016: Arduinobasiertes Wearable mit Biosensoren
      • SoSe 2016: Integration des Axivity WAX 9 Sensors in SSI
      • SoSe 2017:
        • Audio-Klassifizierung mit Neuronalen Netzen auf Android Smartphones (mobileSSI)
        • Automatische Erstellung Neuronaler Netze für die Audioklassifizierung
      • WiSe 2018/19: Apache Spark: Anwendungen in der Echtzeitsignalverarbeitung und zur Visualisierung

 

Betreute Abschlussarbeiten

 

  • Bachelor
    • 2015
      • Recognition of Activities from Wearable Sensors, Mohamed Diab
    • 2017
      • Implementierung einer grafischen Benutzeroberfläche für ein Optimierungswerkzeug im maritimen Bereich, Alexey Kvindt
    • 2018
      • Mobile Bilderkennung von Früchten unter Verwendung eines Deep Convolutional Neural Network, Marcel Henrich
      • Konzeption und Realisierung eines Gas-Sensorik-Prototypen für das Smart Home, Christian Mittring
    • 2019
      • Entwicklung einer ambienten Anzeige zur Überwachung der Luftqualität für einen Besprechungsraum, Andrés Caro Quintul
  • Master
    • 2017
      • Gamifizierte Multi-Device-Interaktionen für Senioren-Übungen, Sebastian Klapprott
    • 2018
      • Soundscape-Analyse durch Kombination tiefer neuronaler Netze zur Audio-Klassifizierung von kontinuierlichen und einzelnen Schallereignissen, Tobias Watzka
      • Systematische Entwicklung und Evaluation eines Verfahrens für die automatische Generierung von tiefen neuronalen Netzen zur Audio-Klassifizierung, basierend auf evolutionären Algorithmen, Christian Roletscheck
    • 2019
      • Untersuchung verschiedener Verfahren zur Kompensation und Kalibrierung von Gassensorik, Alex Barth

Publikationen

Andreas Seiderer
2020 | 2019 | 2018 | 2017 | 2016 | 2015

2020

Andreas Seiderer, Hannes Ritschel and Elisabeth André. 2020. Development of a privacy-by-design speech assistant providing nutrient information for German seniors. DOI: 10.1145/3411170.3411227
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Chi Tai Dang, Ilhan Aslan, Andreas Seiderer and Elisabeth André. 2020. Exploring ambient air quality notifications for smart rooms. DOI: 10.1145/3411170.3411229
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Hannes Ritschel, Andreas Seiderer and Elisabeth André. 2020. Pianobot: an adaptive robotic piano tutor.
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Ilhan Aslan, Andreas Seiderer, Chi Tai Dang, Simon Rädler and Elisabeth André. in press. Resonating experiences of self and others enabled by a tangible somaesthetic design.
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Joachim Rathmann, Christoph Beck, Simon Flutura, Andreas Seiderer, Ilhan Aslan and Elisabeth André. 2020. Towards quantifying forest recreation: exploring outdoor thermal physiology and human well-being along exemplary pathways in a central European urban forest (Augsburg, SE-Germany). DOI: 10.1016/j.ufug.2020.126622
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2019

Hannes Ritschel, Andreas Seiderer, Kathrin Janowski, Stefan Wagner and Elisabeth André. 2019. Adaptive linguistic style for an assistive robotic health companion based on explicit human feedback. DOI: 10.1145/3316782.3316791
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Sarah Faltaous, Gabriel Haas, Liliana Barrios, Andreas Seiderer, Sebastian Felix Rauh, Han Joo Chae, Stefan Schneegass and Florian Alt. 2019. BrainShare: a glimpse of social interaction for locked-in syndrome patients. DOI: 10.1145/3290607.3312754
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Andreas Seiderer, Chi Tai Dang and Elisabeth André. 2019. Calibration transfer for food recognition models for e-noses. DOI: 10.1145/3365871.3365910
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Andreas Seiderer, Ilhan Aslan, Chi Tai Dang and Elisabeth André. 2019. Indoor air quality and wellbeing - enabling awareness and sensitivity with ambient IoT displays. DOI: 10.1007/978-3-030-34255-5_18
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Hannes Ritschel, Kathrin Janowski, Andreas Seiderer, Stefan Wagner and Elisabeth André. 2019. Insights on usability and user feedback for an assistive robotic health companion with adaptive linguistic style. DOI: 10.1145/3316782.3322737
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Simon Flutura, Andreas Seiderer, Ilhan Aslan, Michael Dietz, Dominik Schiller, Christoph Beck, Joachim Rathmann and Elisabeth André. 2019. Mobile sensing for wellbeing estimation of urban green using physiological signals. DOI: 10.1145/3342428.3342655
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Hannes Ritschel, Ilhan Aslan, Silvan Mertes, Andreas Seiderer and Elisabeth André. 2019. Personalized synthesis of intentional and emotional non-verbal sounds for social robots. DOI: 10.1109/ACII.2019.8925487
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Dominik Schiller, Tobias Huber, Florian Lingenfelser, Michael Dietz, Andreas Seiderer and Elisabeth André. 2019. Relevance-based feature masking: improving neural network based whale classification through explainable artificial intelligence. DOI: 10.21437/interspeech.2019-2707
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Hannes Ritschel, Kathrin Janowski, Andreas Seiderer and Elisabeth André. 2019. Towards a robotic dietitian with adaptive linguistic style.
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2018

Johannes Wagner, Dominik Schiller, Andreas Seiderer and Elisabeth André. 2018. Deep learning in paralinguistic recognition tasks: are hand-crafted features still relevant?. DOI: 10.21437/interspeech.2018-1238
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Hannes Ritschel, Andreas Seiderer, Kathrin Janowski, Ilhan Aslan and Elisabeth André. 2018. Drink-o-mender: an adaptive robotic drink adviser. DOI: 10.1145/3279954.3279957
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Simon Flutura, Andreas Seiderer, Ilhan Aslan, Chi Tai Dang, Raphael Schwarz, Dominik Schiller and Elisabeth André. 2018. DrinkWatch: a mobile wellbeing application based on interactive and cooperative machine learning. DOI: 10.1145/3194658.3194666
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Andreas Seiderer, Michael Dietz, Ilhan Aslan and Elisabeth André. 2018. Enabling privacy with transfer learning for image classification DNNs on mobile devices. DOI: 10.1145/3284869.3284893
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Thomas Rist, Andreas Seiderer and Elisabeth André. 2018. Providing life-style-intervention to improve well-being of elderly people. DOI: 10.1007/978-3-319-99426-0_45
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Chi Tai Dang, Andreas Seiderer and Elisabeth André. 2018. Theodor: a step towards smart home applications with electronic noses. DOI: 10.1145/3266157.3266215
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Christian Roletscheck, Tobias Watzka, Andreas Seiderer, Dominik Schiller and Elisabeth André. 2018. Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification.
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2017

Andreas Seiderer, Simon Flutura and Elisabeth André. 2017. Development of a mobile multi-device nutrition logger. DOI: 10.1145/3141788.3141790
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Andreas Seiderer and Elisabeth André. 2017. Development of a multi-device nutrition logging prototype including a smartscale. DOI: 10.1145/3079452.3079486
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Andreas Seiderer, Chi Tai Dang and Elisabeth André. 2017. Exploring opportunistic ambient notifications in the smart home to enhance quality of live. DOI: 10.1007/978-3-319-66188-9_13
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Johannes Wagner, Thiago Fraga-Silva, Yvan Josse, Dominik Schiller, Andreas Seiderer and Elisabeth André. 2017. Infected phonemes: how a cold impairs speech on a phonetic level. DOI: 10.21437/interspeech.2017-1066
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Madita Herpich, Thomas Rist, Andreas Seiderer and Elisabeth André. 2017. Towards a gamified recommender system for the elderly. DOI: 10.1145/3079452.3079500
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2016

Simon Flutura, Johannes Wagner, Florian Lingenfelser, Andreas Seiderer and Elisabeth André. 2016. Laughter detection in the wild: demonstrating a tool for mobile social signal processing and visualization. DOI: 10.1145/2993148.2998524
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Simon Flutura, Johannes Wagner, Florian Lingenfelser, Andreas Seiderer and Elisabeth André. 2016. MobileSSI - a multi-modal framework for social signal interpretation on mobile devices. DOI: 10.1109/ie.2016.47
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Simon Flutura, Johannes Wagner, Florian Lingenfelser, Andreas Seiderer and Elisabeth André. 2016. MobileSSI: asynchronous fusion for social signal interpretation in the wild. DOI: 10.1145/2993148.2993164
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Yoshiki Nakashima, Jonghwa Kim, Simon Flutura, Andreas Seiderer and Elisabeth André. 2016. Stress recognition in daily work. DOI: 10.1007/978-3-319-32270-4_3
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2015

Thomas Rist, Andreas Seiderer, Stephan Hammer, Marcus Mayr and Elisabeth André. 2015. CARE - extending a digital picture frame with a recommender mode to enhance well-being of elderly people. DOI: 10.4108/icst.pervasivehealth.2015.259255
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Johannes Wagner, Andreas Seiderer, Florian Lingenfelser and Elisabeth André. 2015. Combining hierarchical classification with frequency weighting for the recognition of eating conditions.
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Stephan Hammer, Andreas Seiderer, Elisabeth André, Thomas Rist, Sofia Kastrinaki, Charline Hondrou, Amaryllis Raouzaiou, Kostas Karpouzis and Stefanos Kollias. 2015. Design of a lifestyle recommender system for the elderly: requirement gatherings in Germany and Greece. DOI: 10.1145/2769493.2769559
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Andreas Seiderer, Stephan Hammer, Elisabeth André, Marcus Mayr and Thomas Rist. 2015. Exploring digital image frames for lifestyle intervention to improve well-being of older adults. DOI: 10.1145/2750511.2750514
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