Outcomes

Specific outcomes include:

• Spontaneous goal-oriented sensing ensembles
• Robust abstract intermediate features
• Novel opportunistic classifiers and opportunistic classifier fusion
• Dynamic -short-term- adaptation of the activity recognition chain
• Autonomous -long-term- evolution of the activity recognition system
• Advances in Opportunistic robust Brain-Computer Interfaces

Application-wise, outcomes are activity and context recognition systems providing the following characteristics: (1) working over long periods of time despite changes in sensing infrastructure (sensor failures, degradation); (2) providing the freedom to users to change wearable device placement; (3) that can be deployed without user-specific training.