Literature DB >> 33525367

HumTouch: Localization of Touch on Semi-Conductive Surfaces by Sensing Human Body Antenna Signal.

Tzu Hsuan Hsia1, Shogo Okamoto1, Yasuhiro Akiyama1, Yoji Yamada1.   

Abstract

HumTouch is a touch sensing technology utilizing the environmental electromagnetic wave. The method can be realized using conductive and semi-conductive materials by simply attaching electrodes to the object's surface. In this study, we compared three methods for localizing a touch on 20×16cm2 and 40×36cm2 papers, on which four or eight electrodes were attached to record the voltages leaked from the human fingertip. The number and positions of the electrodes and the data processing of the voltages differed according to the localization methods. By constructing a kernel regression analysis model between the electrode outputs and the actual physical locations, the touched locations were estimated. Each of the three methods was tested via leave-one-out cross validation. Out of the three methods discussed, two exhibited superior performances in terms of the estimation errors. Of these two methods, one simply uses the voltages recorded by the four electrodes attached on the middle of paper edges as inputs to the regression system. The other uses differential outputs of electrode pairs as the inputs. The smallest mean location errors were 0.31 cm on 20×16cm2 paper and 0.27 cm on 40×36cm2 paper, which are smaller than the size of a fingertip.

Entities:  

Keywords:  flexible touch sensing surfaces; human antenna; human touch sensing

Mesh:

Year:  2021        PMID: 33525367      PMCID: PMC7866186          DOI: 10.3390/s21030859

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  9 in total

1.  Paper-based, capacitive touch pads.

Authors:  Aaron D Mazzeo; William B Kalb; Lawrence Chan; Matthew G Killian; Jean-Francis Bloch; Brian A Mazzeo; George M Whitesides
Journal:  Adv Mater       Date:  2012-04-27       Impact factor: 30.849

2.  Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors.

Authors:  Ronja Valasma; Eva Bozo; Olli Pitkänen; Topias Järvinen; Aron Dombovari; Melinda Mohl; Gabriela Simone Lorite; Janos Kiss; Zoltan Konya; Krisztian Kordas
Journal:  Nanotechnology       Date:  2020-04-01       Impact factor: 3.874

3.  Vision-based finger detection, tracking, and event identification techniques for multi-touch sensing and display systems.

Authors:  Yen-Lin Chen; Wen-Yew Liang; Chuan-Yen Chiang; Tung-Ju Hsieh; Da-Cheng Lee; Shyan-Ming Yuan; Yang-Lang Chang
Journal:  Sensors (Basel)       Date:  2011-07-01       Impact factor: 3.576

4.  A Touch Sensing Technique Using the Effects of Extremely Low Frequency Fields on the Human Body.

Authors:  Hatem Elfekey; Hany Ayad Bastawrous; Shogo Okamoto
Journal:  Sensors (Basel)       Date:  2016-12-02       Impact factor: 3.576

5.  Design, Motivation and Evaluation of a Full-Resolution Optical Tactile Sensor.

Authors:  Carmelo Sferrazza; Raffaello D'Andrea
Journal:  Sensors (Basel)       Date:  2019-02-22       Impact factor: 3.576

6.  Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing.

Authors:  Qilin Hua; Junlu Sun; Haitao Liu; Rongrong Bao; Ruomeng Yu; Junyi Zhai; Caofeng Pan; Zhong Lin Wang
Journal:  Nat Commun       Date:  2018-01-16       Impact factor: 14.919

7.  Multi-Touch Tabletop System Using Infrared Image Recognition for User Position Identification.

Authors:  Shota Suto; Toshiya Watanabe; Susumu Shibusawa; Masaru Kamada
Journal:  Sensors (Basel)       Date:  2018-05-14       Impact factor: 3.576

8.  Ultrasonic Touch Sensing System Based on Lamb Waves and Convolutional Neural Network.

Authors:  Cheng-Shen Chang; Yung-Chun Lee
Journal:  Sensors (Basel)       Date:  2020-05-04       Impact factor: 3.576

  9 in total

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