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Alberto Calatroni

Kilian Förster

This project is supervised by Dr. Daniel Roggen and Prof. Gerhard Tröster

Activity and Context Recognition in Opportunistic Sensor Configurations

The objective of OPPORTUNITY is to develop mobile systems to recognize human activity and user context with dynamically varying sensor setups, using goal oriented, cooperative sensing. We refer to such systems as opportunistic, since they take advantage of sensing modalities that just happen to be available, rather than forcing the user to deploy specific, application dependent sensor systems.

The projects aims at generic principles, algorithms and system architectures to reliably recognize complex activities and contexts despite the absence of static assumptions about sensor availability and characteristics in opportunistic systems.

We go about this by a combination of efficient large scale sensing; opportunistic context/activity recognition chain instanciation; dynamic adaptation and autonomous evolution; and validation scenarios.

Our Objective: Dynamic Adaptation and Autonomous Evolution in Opportunistic Sensor Setups

A robust activity and context-recognition system must be capable of operating over a long period of time, exploiting new sources of information as they become available and evolving in an autonomous manner, coping with user variability and changes in the number and type of available sensors.

In particular, wearable and ambient nodes should be trained continuously as new context instances naturally arise and labeling should be carried out ideally with no user intervention. Thereby, the activity recognition system has an intrinsic evolving dynamics that reflects the changing availability of sensors, placement, modality as well as changing user

Our key research directions include:

Publications

2013 2012 2011 2010 2009

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