Long-Term Activity Monitoring with a Wearable Sensor Node
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
The Attentive Hearing Aid: Eye Selection of Auditory Sources for Hearing Impaired Users
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Recognition of hearing needs from body and eye movements to improve hearing instruments
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
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Today's state-of-the-art hearing instruments (HIs) adapt the sound processing only according to the user's acoustic surrounding. Acoustic ambiguities limit the set of daily life situations where HIs can support the user adequately. State-of-the-art HIs feature body area networking capabilities. Thus, body-worn sensors could be used to recognize complex user contexts and enhance next-generation HIs. In this work, we identify in a rich real-world data set the mapping between the context of the user --which can be recognized from bodyworn sensors-- and the user's current hearing wish. This is the foundation for the implementation of recognition systems for the specific cues in next generation HIs based on on-body sensor data. We discuss how the identified mapping allows selecting a-priori distributions for hearing wishes and HI parameters like the switching sensitivity. We conclude deducing the sensory requirements to realize next generation of networked HIs.