publication . Doctoral thesis . 2014

Multi-Modal Activity Recognition Systems with Minimal Training Data and Unobtrusive Environmental Instrumentations

Bauer, Gerald;
Open Access English
  • Published: 14 Apr 2014
  • Country: Germany
Abstract
The recognition of day-to-day activities is still a very challenging and important research topic. During recent years, a lot of research has gone into designing and realizing smart environ- ments in different application areas such as health care, maintenance, sports or smart homes. As a result, a large amount of sensor modalities were developed, different types of activity and context recognition services were implemented and the resulting systems were benchmarked using state-of-the-art evaluation techniques. However, so far hardly any of these approaches have found their way into the market and consequently into the homes of real end-users on a large scale. T...
Subjects
free text keywords: Activity recognition, Wearable computing, Minimal training, Unobtrusive instrumentations, ddc:004
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