Stefan Langer
| stefan.langer ät ifi.lmu.de | |
| Adresse | Stefan Langer Ludwig-Maximilians-Universität München LFE Medieninformatik Frauenlobstr. 7a 80337 München |
Forschungsinteressen
Outdoor sports are currently thriving.
More and more people start compensating for a lack of activity through individual sports.
However, while popular activities like running do not bear many risks other than physical overload, sports like mountain biking, skiing, or rock climbing can result in crashes and serious injuries. Within my PhD thesis, I want to identify the factors leading to an increased risk within sensory data and create an overall concept of a risk indication system.
Within my overall research goal I am very much interested in the following topics:
More and more people start compensating for a lack of activity through individual sports.
However, while popular activities like running do not bear many risks other than physical overload, sports like mountain biking, skiing, or rock climbing can result in crashes and serious injuries. Within my PhD thesis, I want to identify the factors leading to an increased risk within sensory data and create an overall concept of a risk indication system.
Within my overall research goal I am very much interested in the following topics:
- Sensor data analyses in sports (IMU sensory data, Heartrate sensory data)
- Human Computer Interaction in dynamic scenarios
- Machine- and Deep Learning on sensory data
- Developing User Interaces for Smart Wearable Devices
Publikationen
| 2021 | |
| Stefan Langer, Dennis Dietz, Andreas Butz
Towards Risk Indication In Mountain Biking Using Smart Wearables To appear in CHI EA '21: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA 2021) (bib) |
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Find my previous publications on: Google Scholar
