Improving the prediction of haptic impression user ratings using perception-based weighting methods: Experimental evaluation

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

Volumn 6191 LNCS, Issue PART 1, 2010, Pages 93-98

  Hatzfeld, Christian ^a   Kern, Thorsten A ^a   Werthschützky, Roland ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

FIP; haptic impression; system design; user rating

Indexed keywords

ACCURATE PREDICTION; EXPERIMENTAL EVALUATION; HAPTIC CONTROL; HAPTIC IMPRESSIONS; INDUSTRIAL MEASUREMENTS; LIGHT SWITCHES; MECHANICAL MEASUREMENTS; PREDICTION SCHEMES; SYSTEM DESIGN; SYSTEM DESIGNERS; TACTILE INFORMATION; USER RATING; WEIGHTING METHODS; WEIGHTING PROCEDURE;

DESIGN; FORECASTING;

CONTENT BASED RETRIEVAL;

EID: 77955158767     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14064-8_14     Document Type: Conference Paper

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