Literature DB >> 19323136

Vibrotactile pattern recognition on the arm and back.

Lynette A Jones1, Jacquelyn Kunkel, Erin Piateski.   

Abstract

A series of experiments was conducted to evaluate the effectiveness with which a tactile display mounted on either the forearm or the back can be used to communicate simple instructions and commands. In the first two sets of experiments, participants identified a vibrotactile pattern using a visual template that represented the pattern of activation. For the patterns displayed on the forearm, accuracy depended on the specific set of patterns presented and ranged from 30% to 96% correct for the individual patterns. In a second series of experiments, seven hand-and-arm signals that are used to communicate in military contexts were converted into tactile representations that were displayed on the back. These were identified accurately (98% correct) and, when only the picture of the hand signal was available, participants achieved a recognition rate of 75% correct. A further study with these seven patterns indicated that participants were still able to identify the patterns accurately (92% correct) when they were engaged in a concurrent physical or cognitive task. The results indicate the importance of evaluating tactile communication in the context of the specific patterns or messages that will be conveyed, and that with the judicious selection of tactile patterns both the arm and back provide a functional substrate for tactile communication.

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Mesh:

Year:  2009        PMID: 19323136     DOI: 10.1068/p5914

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


  6 in total

1.  Effect of vibration characteristics and vibror arrangement on the tactile perception of the upper arm in healthy subjects and upper limb amputees.

Authors:  Matthieu Guemann; Sandra Bouvier; Christophe Halgand; Florent Paclet; Leo Borrini; Damien Ricard; Eric Lapeyre; Daniel Cattaert; Aymar de Rugy
Journal:  J Neuroeng Rehabil       Date:  2019-11-13       Impact factor: 4.262

2.  Embodiment of a virtual prosthesis through training using an EMG-based human-machine interface: Case series.

Authors:  Karina Aparecida Rodrigues; João Vitor da Silva Moreira; Daniel José Lins Leal Pinheiro; Rodrigo Lantyer Marques Dantas; Thaís Cardoso Santos; João Luiz Vieira Nepomuceno; Maria Angélica Ratier Jajah Nogueira; Esper Abrão Cavalheiro; Jean Faber
Journal:  Front Hum Neurosci       Date:  2022-08-04       Impact factor: 3.473

3.  LifeChair: A Conductive Fabric Sensor-Based Smart Cushion for Actively Shaping Sitting Posture.

Authors:  Karlos Ishac; Kenji Suzuki
Journal:  Sensors (Basel)       Date:  2018-07-13       Impact factor: 3.576

4.  Improvements in the learnability of smartphone haptic interfaces for visually impaired users.

Authors:  F J González-Cañete; J L López Rodríguez; P M Galdón; A Díaz-Estrella
Journal:  PLoS One       Date:  2019-11-11       Impact factor: 3.240

5.  Perception of vibrotactile distance on the back.

Authors:  Myrthe A Plaisier; Lotte I N Sap; Astrid M L Kappers
Journal:  Sci Rep       Date:  2020-10-21       Impact factor: 4.379

6.  Tactile spatial discrimination on the torso using vibrotactile and force stimulation.

Authors:  Atena Fadaei Jouybari; Matteo Franza; Oliver Alan Kannape; Masayuki Hara; Olaf Blanke
Journal:  Exp Brain Res       Date:  2021-08-23       Impact factor: 1.972

  6 in total

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