FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4232004541> ?p ?o ?g. }

• W4232004541 abstract "In this paper, we perform a data driven analysis of human perception of 2 D haptic data, and study possible structures of the perceptual deadzone. We describe an experimental set up where a user is subjected to a 2 D piecewise constant haptic force, and is asked to respond with a click whenever he/she feels any change in the stimuli. The jumps of the force vector are distributed in the first quadrant of a circle of radius 2 N. The timespacing between the jumps is a uniform random variable over a range of [2,3] seconds. A jump is labelled as perceived or nonperceived based on the clicks. After recording the haptic response of a user, we identify signal features and apply several classifiers to predict the user response. Our thesis is that a classifier which predicts better, gives a good structure of the deadzone. We start with the Weber and level crossings classifiers to predict the perceivability of a jump, and find that level crossings performs significantly better than the Weber classifier over a range of [0,2] N. The level crossings classifier gives the best fit circular deadzone. Then, we apply a general conic section based classifier which points towards an elliptical deadzone. The elliptical deadzone is studied in detail to study the directional behaviour. It is found that the accuracy of both the circular and elliptical deadzone are nearly identical for all the users. Additionally, eccentricity and orientation of the elliptical deadzone match well with that of the distribution of the input data. It signifies that a user does not have direction preference while perceiving the change in 2 D haptic force. Importance plot of the features used in a random forest classifier also confirms our observation." @default.
• W4232004541 created "2022-05-12" @default.
• W4232004541 creator A5004370275 @default.
• W4232004541 creator A5016405213 @default.
• W4232004541 creator A5034016394 @default.
• W4232004541 date "2014-02-01" @default.
• W4232004541 modified "2023-10-06" @default.
• W4232004541 title "Deadzone analysis of 2D kinesthetic perception" @default.
• W4232004541 cites W1964653539 @default.
• W4232004541 cites W1965339988 @default.
• W4232004541 cites W1969306020 @default.
• W4232004541 cites W1992588327 @default.
• W4232004541 cites W2006509211 @default.
• W4232004541 cites W2022306346 @default.
• W4232004541 cites W2055293535 @default.
• W4232004541 cites W2074382526 @default.
• W4232004541 cites W2084776495 @default.
• W4232004541 cites W2113250724 @default.
• W4232004541 cites W2118159900 @default.
• W4232004541 cites W2129355314 @default.
• W4232004541 cites W2132600496 @default.
• W4232004541 cites W2133771800 @default.
• W4232004541 cites W2150937128 @default.
• W4232004541 cites W2157481644 @default.
• W4232004541 cites W2160966687 @default.
• W4232004541 cites W2167947101 @default.
• W4232004541 cites W2561111412 @default.
• W4232004541 cites W2911964244 @default.
• W4232004541 cites W4240744904 @default.
• W4232004541 cites W4243882841 @default.
• W4232004541 doi "https://doi.org/10.1109/haptics.2014.6775501" @default.
• W4232004541 hasPublicationYear "2014" @default.
• W4232004541 type Work @default.
• W4232004541 citedByCount "6" @default.
• W4232004541 countsByYear W42320045412014 @default.
• W4232004541 countsByYear W42320045412019 @default.
• W4232004541 countsByYear W42320045412020 @default.
• W4232004541 countsByYear W42320045412023 @default.
• W4232004541 crossrefType "proceedings-article" @default.
• W4232004541 hasAuthorship W4232004541A5004370275 @default.
• W4232004541 hasAuthorship W4232004541A5016405213 @default.
• W4232004541 hasAuthorship W4232004541A5034016394 @default.
• W4232004541 hasConcept C108598597 @default.
• W4232004541 hasConcept C111368507 @default.
• W4232004541 hasConcept C127313418 @default.
• W4232004541 hasConcept C134306372 @default.
• W4232004541 hasConcept C152086174 @default.
• W4232004541 hasConcept C154945302 @default.
• W4232004541 hasConcept C164660894 @default.
• W4232004541 hasConcept C2524010 @default.
• W4232004541 hasConcept C31972630 @default.
• W4232004541 hasConcept C33923547 @default.
• W4232004541 hasConcept C41008148 @default.
• W4232004541 hasConcept C63840607 @default.
• W4232004541 hasConceptScore W4232004541C108598597 @default.
• W4232004541 hasConceptScore W4232004541C111368507 @default.
• W4232004541 hasConceptScore W4232004541C127313418 @default.
• W4232004541 hasConceptScore W4232004541C134306372 @default.
• W4232004541 hasConceptScore W4232004541C152086174 @default.
• W4232004541 hasConceptScore W4232004541C154945302 @default.
• W4232004541 hasConceptScore W4232004541C164660894 @default.
• W4232004541 hasConceptScore W4232004541C2524010 @default.
• W4232004541 hasConceptScore W4232004541C31972630 @default.
• W4232004541 hasConceptScore W4232004541C33923547 @default.
• W4232004541 hasConceptScore W4232004541C41008148 @default.
• W4232004541 hasConceptScore W4232004541C63840607 @default.
• W4232004541 hasLocation W42320045411 @default.
• W4232004541 hasOpenAccess W4232004541 @default.
• W4232004541 hasPrimaryLocation W42320045411 @default.
• W4232004541 hasRelatedWork W1535372252 @default.
• W4232004541 hasRelatedWork W1891287906 @default.
• W4232004541 hasRelatedWork W1969923398 @default.
• W4232004541 hasRelatedWork W2036807459 @default.
• W4232004541 hasRelatedWork W2040674109 @default.
• W4232004541 hasRelatedWork W2130423954 @default.
• W4232004541 hasRelatedWork W2320018792 @default.
• W4232004541 hasRelatedWork W2327029135 @default.
• W4232004541 hasRelatedWork W2775347418 @default.
• W4232004541 hasRelatedWork W2890322547 @default.
• W4232004541 isParatext "false" @default.
• W4232004541 isRetracted "false" @default.
• W4232004541 workType "article" @default.