Wearable Systems I
Tuesday, 8.15 - 10.00 am, ETZ E6
Start: 19 September 2017
Tuesday, 10.15 - 12.00 am, ETZ D96.1
Start: 19 September 2017 at ETZ E6
- Vanessa Klaas
Using internal sensors and sensors in our environment including data from the wristwatch, bracelet or internet (crowd sourcing), our 'smart phone' detects our context continuously, e.g. where we are, what we are doing, with whom we are together, what is our constitution, what are our needs. Based on this information our 'smart phone' offers us the appropriate services like a personal assistant.
This course combines practically relevant methods, tools and applications. The applications include localisation, recognition of activities - e.g. in sports - and mental load (stress), interaction with the environment as well as games. The used methods belong to the field of sensor signal processing, sensor nets, data fusion, machine learning, data mining.
The lessons present applications and discuss methods and tools.
The subsequent exercises show concrete design problems like motion recognition using distributed sensors, localisation, activity detection, sound analysis. Beside individual experiments (e.g. using the SmartPhone) also datasets out of ongoing research activities are exploited.
Presentations of the PhD students and the visit at the Wearable Computing Lab introduce in current research topics and international research projects.
Literature will be announced during the lessons.
- participation at exercises and submission of feedback slides
- short talk about a scientific paper (group work)