On the use of brain decoded signals for online user adaptive gesture recognition systems

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

Volumn 6030 LNCS, Issue , 2010, Pages 427-444

  Förster, Kilian ^a   Biasiucci, Andrea ^b,c   Chavarriaga, Ricardo ^b   Del R Millán, José ^b   Roggen, Daniel ^a   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b EPFL   (Switzerland)

^c UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ADAPTATION PROCESS; ADAPTATION TECHNIQUES; CONTEXT RECOGNITION; GESTURE RECOGNITION SYSTEM; HAND-GESTURE RECOGNITION; MOTION SENSORS; ONLINE USERS; RECOGNITION ACCURACY; RECOGNITION ERROR; SENSOR CHARACTERISTICS; SYSTEM BEHAVIORS; USER EXPECTATIONS; USER FEEDBACK; WEARABLE COMPUTING;

ADAPTIVE ALGORITHMS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; ERROR DETECTION; ONLINE SYSTEMS; SENSORS; SERVICE ORIENTED ARCHITECTURE (SOA); SIGNAL PROCESSING; WEARABLE COMPUTERS;

GESTURE RECOGNITION;

EID: 77953512060     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12654-3_25     Document Type: Conference Paper

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