Literature DB >> 17564201

Haptic roughness perception of linear gratings via bare finger or rigid probe.

Michael A Lawrence1, Ryo Kitada, Roberta L Klatzky, Susan J Lederman.   

Abstract

The magnitude of perceived roughness was haptically estimated as subjects freely explored linear gratings with either the bare finger or a rigid stylus-shaped probe. A considerably expanded range of ridge and groove width was investigated, relative to the extant literature. The four experiments collectively indicate that, for both finger and probe-end effectors, the variance in the estimates of perceived roughness was predominantly predicted by a single parameter: groove width. The functions relating perceived roughness to groove width increased over a narrow band relative to the full range of values, then flattened. These data have archival values for models of roughness perception involving both direct and indirect touch.

Mesh:

Year:  2007        PMID: 17564201     DOI: 10.1068/p5746

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  5 in total

1.  Tactile perception of roughness: raised-dot spacing, density and disposition.

Authors:  Alexandra Dépeault; El-Mehdi Meftah; C Elaine Chapman
Journal:  Exp Brain Res       Date:  2009-07-05       Impact factor: 1.972

2.  Texture-induced vibrations in the forearm during tactile exploration.

Authors:  Benoit Delhaye; Vincent Hayward; Philippe Lefèvre; Jean-Louis Thonnard
Journal:  Front Behav Neurosci       Date:  2012-07-06       Impact factor: 3.558

3.  Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array.

Authors:  Calogero Maria Oddo; Lucia Beccai; Martin Felder; Francesco Giovacchini; Maria Chiara Carrozza
Journal:  Sensors (Basel)       Date:  2009-04-27       Impact factor: 3.576

4.  Tactile perception of pleasantness in relation to perceived softness.

Authors:  Achille Pasqualotto; Megan Ng; Zheng Yee Tan; Ryo Kitada
Journal:  Sci Rep       Date:  2020-07-07       Impact factor: 4.379

5.  Global surface features contribute to human haptic roughness estimations.

Authors:  Huazhi Li; Jiajia Yang; Yinghua Yu; Wu Wang; Yulong Liu; Mengni Zhou; Qingqing Li; Jingjing Yang; Shiping Shao; Satoshi Takahashi; Yoshimichi Ejima; Jinglong Wu
Journal:  Exp Brain Res       Date:  2022-01-16       Impact factor: 1.972

  5 in total

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