MIThril 2003: Applications and Architecture
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Activity Recognition for Everyday Life on Mobile Phones
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
Affect- and behaviour-related assistance for families in the home environment
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Mobile phone-based pervasive fall detection
Personal and Ubiquitous Computing
Activity classification using realistic data from wearable sensors
IEEE Transactions on Information Technology in Biomedicine
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In daily life, mobile phones accompany the user permanently and are worn often in the front pocket of the trousers. The sensors included in today's mobile phones can hence be used for ubiquitous assistance. For instance, the acceleration sensor could be used for analysis of the person's bodily activity, or the microphone can be used to analyze the environmental noise levels. A possible sensor fusion provides additional and assured environmental and context information. This work presents new methods of activity recognition by acceleration and sound sensors by means of sensors included in commercially available smart phones during everyday life. We could identify that sounds provide valuable additional information on a user's situation that allow to better asses a person's current context.