Prof. Dr.-Ing. Johannes Maucher
Hochschule der Medien Stuttgart
Home           Publications            CV

Contact:

Prof. Dr.-Ing. Johannes Maucher
Study Program Media Computer Science
Nobelstraße 10
70569 Stuttgart

Office:           321
Phone:           ++49 711 8923 2178
E-Mail:            maucher at hdm-stuttgart.de

News:


1.st HdM Deep Learning Day, 20.11.2015, HdM Stuttgart; Room 056

           Agenda:
14.00h Prof. Dr. Johannes Maucher, HdM Introduction
14.30h Dr. Björn Fröhlich, Daimler Categorization, Object detection and Scene Labeling for Autonomous Driving using Deep Learning
15.30h Dr. Bastian Bischoff and Dr. Michael Klar, Bosch Machine Learning and Deep Learning at Bosch
16.30h Leon Schröder, ZSW Deep Learning - Applications, Methods and Frameworks at ZSW (Zentrum für Sonnenenergie und Wasserstoff-Forschung Baden Württemberg)

February, 26th 2015:
Ideas for projects (either CSM, MIB or MMB). Please contact me for further information.
  • App-Development for Garmin Smartwatch
  • Visual Analytics of HRV Data: Heart rate and particularly the heart rate variability is an important indicator for training progress. Moreover, heart rate variability is tracked and analyzed for medical purposes e.g. for the detection of stress diseases and their causes. We like to develop pattern recognition algorithms for extracting relevant knowledge for training control and for stress indication (Thesis or project).
  • Mining correlations of Neural Activity and Heart Rate Variability.
  • Similarity Analysis, Clustering and annotation of GPS tracks.
  • Pattern Recognition in activity tracks.
  • Machine Learning and Data Mining for intelligent web search at cliqz (Bachelor- or Masterthesis)
  • Food Recommender system for people with nutrition intolerances (CSM or MIB project).
  • Diagnosis system for determining type of nutrition intolerances (CSM or MIB project).
  • NAO robot: Our 2 NAO robots offer a large variety of interesting student projects. Besides others our focus is on implementing interactive behavior, object recognition and machine learning algorithms on the robots.


1st February 2014:
CSM Project HRV Analyzer: Heart Rate Variablility (HRV) is an important indicator for measuring physical and mental health. Annette Landmesser and Johannes Goth implemented a powerful tool for analyzing HRV paramters. The tool can be used for training control and optimization as well as for health monitoring.

link to hrv analyzer video

1st February 2014: CSM Project Opinion Trends: The TechTrends project of the previous term has been extended by Thomas Uhrig. TechTrends provides an automatic extraction of technology trends, based on Reddit- and Hackernews posts. OpinionTrends additionaly calculates the opinion on the extracted subjects.

1st February 2014: CSM Project Robust Face Recognition for NAO: Julia Sandrock and Florian Röser developed a robust and scalable face recognition for our NAO robots. At the HdM Media Night the robots proved, that they now can detect and recognize faces even under challenging lighting conditions, varying scale and rotation.

nao picture

 
 

d