Recognition of hearing needs from body and eye movements to improve hearing instruments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6696 LNCS, Issue , 2011, Pages 314-331

  Tessendorf, Bernd ^a   Bulling, Andreas ^b   Roggen, Daniel ^a   Stiefmeier, Thomas ^a   Feilner, Manuela ^c   Derleth, Peter ^c   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c Phonak AG   (Switzerland)

Author keywords

Activity Recognition; Assistive Technology; Electrooculography (EOG); Hearing Instrument

Indexed keywords

ACOUSTIC ENVIRONMENT; ACTIVITY RECOGNITION; ASSISTIVE TECHNOLOGY; BODY MOVEMENTS; ELECTRO-OCULOGRAPHY; HEAD MOVEMENTS; HEARING INSTRUMENT; HEARING INSTRUMENTS; OFFICE ENVIRONMENTS; PERSON-INDEPENDENT; SENSOR MODALITY;

AUDITION; INSTRUMENTS; SENSORS; UBIQUITOUS COMPUTING; ELECTROOCULOGRAPHY; SUPPORT VECTOR MACHINES;

EYE MOVEMENTS;

EID: 79958807842     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21726-5_20     Document Type: Conference Paper

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