Paper Info
Title
Recognition of hearing needs from body and eye movements to improve hearing instruments
Abstract
Hearing instruments (HIs) have emerged as true pervasive computers as they continuously adapt the hearing program to the user's context. However, current HIs are not able to distinguish different hearing needs in the same acoustic environment. In this work, we explore how information derived from body and eye movements can be used to improve the recognition of such hearing needs. We conduct an experiment to provoke an acoustic environment in which different hearing needs arise: active conversation and working while colleagues are having a conversation in a noisy office environment. We record body movements on nine body locations, eye movements using electrooculography (EOG), and sound using commercial HIs for eleven participants. Using a support vector machine (SVM) classifier and person-independent training we improve the accuracy of 77% based on sound to an accuracy of 92% using body movements. With a view to a future implementation into a HI we then perform a detailed analysis of the sensors attached to the head. We achieve the best accuracy of 86% using eye movements compared to 84% for head movements. Our work demonstrates the potential of additional sensor modalities for future HIs and motivates to investigate the wider applicability of this approach on further hearing situations and needs.
Year
DOI
Venue
2011
10.1007/978-3-642-21726-5_20
Pervasive
Keywords
Field
DocType
body location,hearing need,hearing situation,acoustic environment,different hearing need,different hearing,hearing instrument,eye movement,hearing program,body movement,activity recognition
Modalities,Conversation,Activity recognition,Computer science,Support vector machine,Speech recognition,Eye movement,Electrooculography,Hearing instruments,Classifier (linguistics)
Conference
Volume
ISSN
Citations 
6696
0302-9743
21
PageRank 
References 
Authors
1.23
15
7
Name
Order
Citations
PageRank
Bernd Tessendorf1264.65
Andreas Bulling22279133.41
Daniel Roggen31851137.05
Thomas Stiefmeier436025.69
Manuela Feilner5264.37
Peter Derleth6244.38
Gerhard Tröster733121.21