Turning Surfaces into Touch Panels: A Granite-Touch Pad

Elfekey, Hatem; Okamoto, Shogo

doi:10.1007/978-981-10-4157-0_51

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Moreover, the implemented keyboard has many desirable features: it is highly flexible, it is shock-, dust-, and water-resistant, and last but foremost it has very low implementation and operation costs. Taking into consideration that the proposed touch technique is passive and does not therefore require external generators, other possible important applications may include touch floors and safety sensors [37,38,39]. …”

Section: Discussionmentioning

confidence: 99%

“…To extend our method to other contexts beyond the detection of binary events (e.g., to the localization of touch on an object surface [39]), the repeatability error mentioned above should be specifically considered. Possible causes for this error can be found in the existence of other ELF waves such as Schumann resonance [24], switched mode power supply interference noise [40], other external noises imposed by the main supply line [25], and biopotential signals [33].…”

Section: Discussionmentioning

confidence: 99%

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

Elfekey

Bastawrous

Okamoto

2016

Sensors

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Touch sensing is a fundamental approach in human-to-machine interfaces, and is currently under widespread use. Many current applications use active touch sensing technologies. Passive touch sensing technologies are, however, more adequate to implement low power or energy harvesting touch sensing interfaces. This paper presents a passive touch sensing technique based on the fact that the human body is affected by the surrounding extremely low frequency (ELF) electromagnetic fields, such as those of AC power lines. These external ELF fields induce electric potentials on the human body—because human tissues exhibit some conductivity at these frequencies—resulting in what is called AC hum. We therefore propose a passive touch sensing system that detects this hum noise when a human touch occurs, thus distinguishing between touch and non-touch events. The effectiveness of the proposed technique is validated by designing and implementing a flexible touch sensing keyboard.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

Elfekey

Bastawrous

Okamoto

2016

Sensors

Self Cite

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“…We focus on a sensing method that utilizes environmental AC-hum-noise [27][28][29][30][31][32][33]. For example, Cohn et al demonstrated that the touch positions on a wall could be discriminated by monitoring the voltage at an electrode on human skin [27].…”

Section: Introductionmentioning

confidence: 99%

One-touch calibration of hum-noise-based touch sensor for unknown users utilizing models trained by different users

et al. 2022

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Hum-noise-based touch sensors (HumTouch) are capable of recognizing human touch on semiconductive materials using the current leaking from the finger to the surface. Thus far, calibration for these hum-noise-based touch sensors has been performed for individual users because of the individual differences in hum-driven electric currents in human bodies. However, for applications designed for unknown users, time-consuming calibration for individual users is not preferred, and a new user should be able to use the sensor immediately. For this purpose, we propose a new calibration method for HumTouch. In this method, learning datasets collected from multiple people and a few extra samples from a new user are collectively used to establish a touch localization estimator. The estimator is computed using the kernel regression method with weighted samples from the new user. For a 20 $$\times $$ × 18 cm$$^2$$ 2 paper, the mean localization error is reduced from 1.24 cm to 0.90 cm with only one sample from the new user. Hence, a new user can establish a semipersonalized localization estimator by touching only one point on the surface. This method improves the localization performance of HumTouch sensors in an easy-to-access manner.

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“…In our pervious works, the application of HumTouch was validated for the development of a keyboard [ 25 ]. This method can be used with natural conductive materials such as granite [ 26 , 27 ]. For insulative materials, a semi-conductive hydrogel-paint for application to a 2D or 3D surface is available [ 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

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

Hsia

Okamoto

Akiyama

et al. 2021

Sensors

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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.

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Turning Surfaces into Touch Panels: A Granite-Touch Pad

Cited by 5 publications

References 7 publications

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

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

One-touch calibration of hum-noise-based touch sensor for unknown users utilizing models trained by different users

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

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